Abstract: A Method and apparatus for monitoring and controlling appliances and systems having a two-dimensional or multidimensional operating envelope. A map of the operating envelope or of a part of it onto a unit domain or the operating envelope of another appliance is used for monitoring and control. The apparatus produces this map. The method and the apparatus allow monitoring and control which can be carried out substantially in the same way for appliances whose operating envelopes have different shapes.

Abstract: A method and system for performing trade-off studies using multi-parameter choice is disclosed. Candidates, each having one or more criteria associated therewith, are entered into the system via an input interface such as a keyboard. In addition, test rationale may be entered and associated with candidates and criteria to facilitate human comprehension of test data and results. Criteria are weighted using pair-wise comparisons to minimize errors introduced by the judgment of test engineers. Then candidates are evaluated using pair-wise comparison techniques. Sensitivity checks are performed on evaluated criteria. Processed candidates and criteria are then made available to a system operator in formats that are selectable by the operator.

Abstract: A method of building multiple input multiple output (MIMO) digital control for piecewise single way linearizable plant with hysteresis, a method of system identification that achieves predetermined accuracy across complete spectrum of response model and discovers multiple steady states of a MIMO plant, a method of real-time implementation of various optimal control inputs for a MIMO plant suitable for complete operational envelope of said plant across plurality of steady states, an algorithm and apparatus of multithreading control said MIMO plant that implements methods of the invention and satisfies requirements of high-speed control applications.

Abstract: A method of controlling a multivariable system includes the step of receiving a plurality of sensor signals indicating current conditions of the system and receiving a plurality of commands. The desired dynamic response of the system is then determined based upon the commands and the sensor signals. The problem of controlling the system to achieve the desired dynamic response without violating numerous actuator and physical constraints is then formulated as a quadratic programming problem. By solving the quadratic programming problem, the effector commands are determined and the physical constraints are enforced.

Abstract: Real-time control of a dynamical system is provided by determining control variables that get as close as possible to producing a desired response. Additional consideration of physical limitations leads to a convex Quadratic Program with inequality constraints that needs to be solved in real-time. A new active set algorithm is described to solve the convex Quadratic Program efficiently that meets real-time requirements. Based on the key observation that the physical limitations of the system translate to optimal active sets that remain relatively unchanged over time (even though the actual optimal controls may be varying), starting guesses for the active set obtained from the final iterate in the previous time period greatly reduces the number of iterations and hence allows the Quadratic Programs to be solved to convergence in real-time.

Abstract: A process control system in a multi-input/output coordinate control system for executing coordinate control of a main input. The process control system sets an operating point set value for an operating point of an n-th control output, generates the n-th control output to control the main input based on the n-th control output, and generates an m-th control output to control the operating point of the n-th control output so that the operating point of the n-th control output becomes equal to the operating point set value, thereby to allow the n-th control output of fast response to operate at the operating point set value by controlling the main input.

Abstract: A model predictive controller having a set of inputs adapted to receive process output signals and further having a set of outputs adapted to supply process input signals to process control devices is configured to perform integrated optimal model predictive control. The controller provides integrated optimal control using a feedback path that couples a selected output to an input having a setpoint that is equal to the constraint limit of the selected output. The controller maintains the selected output at its constraint limit until one of the outputs, other than the selected output, is going to reach or exceed the associated constraint limit for that output. When the output is going to reach or exceed the associated constraint limit for that output, the controller relaxes the setpoint until the output is no longer going to reach or exceed the associated constraint limit for that output.

Abstract: A method and apparatus for designing perturbation signals to excite a number of input variables of a system, in order to test that system for the purpose of obtaining models for the synthesis of a model-based controller. The method begins with providing input parameters of the system. A plurality of binary multi-frequency (BMF) signals are generated based on these input parameters and the frequency spectra of these BMF signals are calculated. One BMF signal is selected out of the set of BMF signals so that the frequency spectrum of the selected BMF signal most closely matches a desired frequency spectrum specified by the input parameters. The selected BMF signal is used as a first perturbation signal for testing the system. The selected BMF signal is also shifted by predetermined amounts of samples to create delayed copies of the original BMF signal to be used as additional perturbation signals.

Abstract: A digital signal processor system, for example, an FIR filter, enabling a reduction of the memory capacity of a ROM storing various programs, provided with an input digital signal processor arranged at an input side, an output digital signal processor arranged at an output side, and an intermediate digital signal processor interposed between the input digital signal processor and output digital signal processor connected in cascade, the digital signal processors storing inherent programs P1, P2, and P3 and an identical common program Pc shared by these digital signal processors.

Abstract: A Model-Free Adaptive Quality Variable control system is disclosed for effectively controlling quality variables on-line in closed-loop fashion. It is able to automatically control quality variables under the conditions where there are significant varying time delays and disturbances in the process. Because of its unique capability, the control system is useful for building flexible and adaptive production systems, achieving Six Sigma quality control goals, and fulfilling the on demand manufacturing needs in the new e-commerce environment.

Abstract: A diagnostic system for use in a process control system collects and stores in a database information pertaining to the operation of the process control system, and that uses an expert engine to apply rules for analysis to the information in the database to determine solutions to problems. The database stores various types of information such as event and alarm data, notices of scheduled maintenance and changes to operating parameters, and historical data related to previous changes to the process control system that are relevant to determining both the source of the problems detected in the process control system and the steps necessary to either further analyze or correct the detected problems. The diagnostic system identifies the source of the problem and identifies and runs the appropriate analytical tools or takes remedial measures based on the rules for analysis for the expert engine.

Abstract: Aircraft flight data collection is enhanced by changing the data sampling rate as a function of an operational condition of the aircraft, such as its flight phase. An algorithm is used to determine the flight phase. Then, the data is collected at a first sampling rate when the flight phase is one of a first set of flight phases and collected at a second sampling rate when the flight phase is one of a second set of flight phases. The second sampling rate is greater than the first sampling rate to maximize the data storage capacity of the system. Generally, the higher sampling rate is used with transient flight phases such as takeoff and thrust reverse.

Abstract: Apparatus for control of a complex process, said process being described by a plurality of input variables, a plurality of intermediate variables and a plurality of output variables having relationships therebetween such that ones of said inputs and said intermediate variables effect respectively different output variables, each of said output variables having a target, said apparatus comprising an optimizer for finding an optimum value for respective ones of said input and intermediate variables to maximize a summed convergence of said output variables to said targets

Abstract: An approach for representing integrated circuit device characteristics using polynomial equations involves analyzing integrated circuit device characterization data in a lookup table form and using an order incremental scheme to determine a polynomial equation of a relatively low-order that satisfies specified accuracy criteria. In situations where a polynomial equation that has an order less than a maximum allowable order cannot be determined, the integrated circuit device characterization data is partitioned into sub-domains and polynomial equations are determined separately for each sub-domain. The separate polynomial equations are then combined to generate a piecewise polynomial equation that represents all of the integrated circuit device characterization data.

Abstract: A diagnostic tool automatically collects and stores data indicative of a variability parameter, a mode parameter, a status parameter and a limit parameter for a multi-variable function block associated with one or more devices or loops within a process control system, processes the collected data to determine which devices, loops or function blocks have problems that result in reduced performance of the process control system, displays a list of detected problems to an operator and then suggests the use of other, more specific diagnostic tools to further pinpoint or correct the problems. When the diagnostic tool recommends and executes a data intensive application as the further diagnostic tool, it automatically configures a controller of the process control network to collect the data needed for such a tool.

Abstract: A system and method for preprocessing input data to a support vector machine (SVM). The SVM is a system model having parameters that define the representation of the system being modeled, and operates in two modes: run-time and training. A data preprocessor preprocesses received data in accordance with predetermined preprocessing parameters, and outputs preprocessed data. The data preprocessor includes an input buffer for receiving and storing the input data. The input data may be on different time scales. A time merge device determines a desired time scale and reconciles the input data so that all of the input data are placed on the desired time scale. An output device outputs the reconciled data from the time merge device as preprocessed data. The reconciled data may be input to the SVM in training mode to train the SVM, and/or in run-time mode to generate control parameters and/or predictive output information.

Abstract: A system for consolidating and sorting event data include a computing platform communicatively coupled to a computer readable medium and a network. The computer readable medium may store an application that includes at least one node mapped into a tree. The at least one node may have a data element reference including a pointer to a data element that includes event data received via the network. In addition, the node may have a row indicator node count, a least child reference, a greatest child reference, a lesser sibling reference, a greatest sibling reference, a parent reference, and a status manager reference.

Abstract: A crossbar and method for providing connections between a plurality of ports and a plurality of system agents via a processing system, which includes a plurality of ports, each port being capable of being an input port customized for receiving data from a source agent and an output port customized for transferring data to a destination agent, and crossbar control data for specifying crossbar control information for transferring data from an input port to an output port having different port configurations.

Abstract: A PID operating unit inputs a value obtained by subtracting a setting value stored in a setting value memory from a measured value (temperature) of a controlled device and outputs controlled variable information in order to control the controlled device by proportional plus integral plus derivative action. A time-proportioning outputting unit converts this controlled variable information into an ON/OFF signal for switching an ON/OFF state of a switch of a heater in the controlled device in accordance with the controlled variables and feeds the ON/OFF signal to the heater and to an output selecting unit.

Abstract: A modular process platform system comprises a frame, a machine base mounted to the frame and an input/output panel mounted to the frame. The input/output panel has a plurality of mappable input/output connectors configured for receiving mating connectors from a machine capable of being mounted to the machine base and from a controller for controlling operation of the machine. The system is configurable for accommodating any of a plurality of different machines having different input/output configurations, without requiring input/output wiring customized to a particular input/output configuration.

Abstract: A system provides primary and alternate control circuits to a controlled system through an output port. A monitoring circuit that monitors a parameter of the controlled system selects the control methodology. The primary control circuit, consisting of a primary active part and a regulator, and an alternate control circuit receive feedback from the controlled system. A switching mechanism, controlled by an output of the monitoring circuit, connects the appropriate control circuit to the controlled system and switches internal connections as needed. During alternate mode, a simulator of the controlled system as driven by the primary active control circuit provides an output representative of the output of the regulator that would cause the current output of the controlled system if the system were in primary mode. This simulator output is used when transitioning back to primary mode to minimize transients in the output of the controlled system.

Abstract: An electrical control system for vehicles has a plurality of separate control modules which communicate via a communication bus and an operational program is installed in each of the modules so that all modules contain programming for the functions of each module. A programming and diagnostic system including a PC and a program connects into the bus so as to download the program from one of the modules for generating, modifying and viewing program logic steps using ladder logic which is then converted back Into an operating program format for communication to the modules. In addition, the status of the inputs and outputs of the modules of the apparatus can be displayed and forced using the programming and diagnostic system.

Abstract: A method of carrying out a fiber or paper manufacturing process using a plurality of successive method steps is provided. Defined process steps are carried out by means of predefinable chemical and physical sequences and process optimization is performed, wherein at least those characteristic variables of all the individual method steps which influence the target variables of the respective end product of the method in a significant way are registered on-line to control or optimize the overall process. Characteristic variables are formed both on the basis of the starting materials or raw materials and of the chemicals, auxiliaries and energy supplied in the successive method steps as well as of the materials and emissions to be disposed of.

Abstract: One or more signals are optimized in many industrial applications, one or more input quantities are combined according to a predetermined process to produce an output as a function of the inputs. For many types of functions, an optimum output value is possible, corresponding to a predetermined optimum input value or, where there is more than one input, to a set of such input values, which may be considered to define an input vector. A problem with many search techniques is that a local optimum rather than the global optimum is found. However, in the present optimization process, test values are selected, and the most optimal function values generated from the selected test values are stored. When a local optima is detected stored optimal function values are used to move away from the local optima.

Abstract: The invention relates to a method for pre-calculating the parameters of industrial processes. According to said method, an admissible process input variable vector is determined with definition ranges allocated to each variable and a process output variable vector is determined with the pre-calculable process parameters. Known information on the process is stored in a data bank and ranges of validity for the process input variables are allocated to said information. For each process input vector inputted from an admissible definition range provided with valid information, exactly one process output vector is determined according to the information valid therefor.

Abstract: Generally, an Eigen network and system using same are disclosed that use Principal Component Analysis (PCA) in a middle (or “hidden”) layer of a neural network. The PCA essentially takes the place of a Radial Basis Function hidden layer. A classifier comprises inputs that are routed to a PCA device. The PCA device performs PCA on the inputs and produces outputs (entitled “PCA outputs” for clarity). The PCA outputs are connected to output nodes. Generally, each output is connected to each output node. Each connection is multiplied by a weight, and each output node uses weighted PCA outputs to produce an output (entitled a “node output” for clarity). These node outputs are then generally compared in order to assign a class to the input. A system uses the PCA classifier to classify input patterns. In a third aspect of the invention, a PCA classifier is trained in order to determine weights for each of the connections that are connected to the output nodes.

Abstract: A kiln thermal and combustion control. A predictive model is provided of the dynamics of selected aspects of the operation of the plant for modeling the dynamics thereof The model has at least two discrete models associated therewith that model at least two of the selected aspects, the at least two discrete models having different dynamic responses. An optimizer receives desired values for the selected aspects of the operation of the plant modeled by the model and optimizes the inputs to the model to minimize error between the predicted and desired values.

Abstract: A system and method for on-line training of a support vector machine (SVM). The SVM is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the SVM. When multiple presentations are needed to effectively train the SVM, a buffer of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. An historical database of time-stamped data may be used to construct training sets for the SVM. The SVM may be trained retrospectively by searching the historical database and constructing training sets based on the time-stamped data.

Abstract: The invention relates to a communication station (S32-S34), which as a passive station in a communication system which is not authorized to transmit but listens in on all communication processes and can receive only data (D) actually intended for it, which fact can be conclusively verified by means of a destination point code (T) assigned to the data (D). According to the invention, said communication station is additionally upgraded to receive data (D), the destination (T) and originating point code (S) of which matches an entry (FT, FS) in a filter table (F) provided for in a communication station (S32-S34) which has been upgraded in accordance with the invention.

Abstract: A control system having an input and an output module connected to a communication bus or network. The input module is responsive to a signal that represents a condition. In response to the condition, the input module transmits the representative signal onto the communication bus. The output module includes a reflex function. The reflex function converts the representative signal into a state signal. The output module is capable of transmitting the state signal onto the communication bus.

Abstract: A controller capable of monitoring a receiving circuit for receiving machine information. Machine information from a machine is received by a plurality of independent systems and the external signals received by the plurality of systems are compared, thereby, a receiving state of the receiving circuit is monitored. The controller includes a plurality of independent receiving units for receiving the external signal and monitoring units for comparing signals received by the plurality of receiving units, to monitor the receiving units based on a result of the comparison.

Abstract: An intelligent microsensor module (10, 100, 210, 300, 355, 410) is provided that can fuse data streams from a variety of sources and then locally determine the current state of the environment in which the intelligent microsensor is placed. The resultant state rather than raw data is communicated to the outside world when the microsensor is queried. The intelligent microsensor module (10, 100, 210, 300, 355, 410) of the present invention can locally determine and execute an action to be taken based on the determined state of the environment. The module (10, 100, 210, 300, 355, 410) can be readily reconfigured for multiple applications.

Abstract: An on-line optimizer is provided wherein a boiler (720) is optimized by measuring a select plurality of inputs to the boiler (720) and mapping them through a predetermined relationship that defines a single value representing a spacial relationship in the boiler that is a function of the select inputs. This single value is then optimized with the use of a plant optimizer (818) which provides an optimized value. This optimized value is then processed thought the inverse relationship of the single modified value to provide modified inputs to the plant that can be applied to the plant.

Abstract: A universal robust filtering process is adapted for eliminating the need of prediscretizing a continuous-time differential model into a discrete-time difference model. It provides a universal robust solution to the most general formulation, in the sense that the system dynamics are described by nonlinear continuous-time differential equations, and the nonlinear measurements are taken at intermittent discrete times randomly spaced. The universal robust filtering process includes the procedures of validating the measurement using fuzzy logic, and incorporating factorized forward filtering and backward smoothing to guarantee numerical stability. It provides users a reliable and convenient solution to extracting internal dynamic system state estimates from noisy measurements, with wider applications, better accuracy, better stability, easier design, and easier implementation.

Abstract: The system and method disclosed herein allow a user to retrieve data from various process control loops and organize that data in dynamic manner to allow for multiple types of data analysis. A user may associate individual process control loops into groups and analyze the data and impact of select process control loops in those groups. Since the associations of process control loops into groups can be done dynamically, the user is able to easily reconfigure groups (i.e. add or remove process control loops) and redo the analysis. Another feature is the storage of both the data retrieved and the results of the analysis so that comparisons can be performed and reports can be generated.

Abstract: A multivariable analysis tool is provided wherein an orthogonal decomposition method such as a Partial Least Squares algorithm is applied to a disturbance model, which relates the known loop disturbances to the loop model residue. The tool according to the invention first extracts the most dominant correlation to the loop model residue and then uses the residue to search for secondary dominant correlation in an orthogonal space, and repeats this process until no further output variation can be significantly attributed by the next dominant correlation. In this way, the analysis tool of the present invention is able to estimate the performance potential of each control loop under different disturbance conditions and provide a control performance index by comparing the achieved performance to the performance potential in a multi-variable environment. This index indicates whether or not a given loop is under optimal operation and shows variance of the loop from the best achievable loop performance.

Abstract: A communications system includes a base station that is configured to transmit a signal that is modulated according to a predetermined modulation scheme and an orthogonal frequency division multiplexing scheme, wherein the signal is encoded using space-frequency coding. The base station includes a plurality of multiple-input multiple-output (MIMO) transceivers. The system includes a terminal that is configured to receive the modulated signal. The above arrangement is particularly applicable to providing multichannel multipoint distribution services (MMDS) over a radio communications system.

Abstract: In an authoring system, a user creates and edits a scenario for a robot by using a GUI screen and a mouse. An authoring tool converts the scenario into a mnemonic code called “RCODE”. When an RCODE action-control program is debugged, the RCODE program is extracted and encrypted step by step. The encrypted program is sequentially transferred to the robot by means of radio communication. The interpreter of the robot performs debugging by sequentially interpreting and executing the transferred program.

Abstract: An advanced control block that implements multiple-input/multiple-output control, such as model predictive control, within a process control system is initiated by creating an initial control block having generic control logic and desired control inputs and control outputs communicatively connected to process outputs and process inputs within a process control routine. A waveform generator within the control block systematically upsets each of the process inputs via the control block outputs using excitation waveforms designed for use in developing a process model. At the same time, a data collection routine collects data indicating the response of each of the process outputs to the waveforms delivered at each of the process inputs. After sufficient data has been collected, a process modeling routine generates a process model from the collected data and a control logic parameter creation routine creates control logic parameters for the control logic from the process model.

Abstract: A multi-tasking system in which tasks are grouped and the action of the safety function is different for each group so that the control of a machine can safely and easily be performed with one control device and that the monitoring of each device can be performed at all times, and a medium and a processing device in which a program thereof is recorded. A multi-tasking system 100 for controlling a plurality of tasks has a program executing unit 11 for processing a plurality of tasks by the multi-tasking processing and a task table 21 for keeping grouping information set for each of the plurality of tasks, and the program executing unit 11 has stop units (an emergency stop unit 16, a temporary stop unit 17 as the safety function, and the stop unit obtains grouping information from the task table 21 on the basis of a stop instruction and identifies a group of each task, and performs a different control for each group.

Abstract: For controlling multivariable systems, a control unit for controlling a system with several coupled control variables. The control unit includes controllers (10, 11) having associated control variables (x1, x2) as well as a decoupling network. The decoupling network is connected upstream from the system and includes at least one first decoupling member (12). A first output variable (y1) of a first one of the controllers (10) is routed to the first decoupling member (12). The first decoupling member generates a first correcting quantity (14) for a second output variable (y2) of a second one of the controllers (11). The second controller (11) has a PI- or PID-controller core (40) and is configured such that integrator windup is eliminated when the second output variable (y2) corrected with the first correcting quantity (14) reaches a manipulated variable limit. Bumpless manual/automatic changeover of the controller is also made possible.

Abstract: An optimization process for optimizing inputs data relating to a function of a plurality of input-signals for which it is desired to find output values which give an optimum value of the function. Such output values are found by performing a plurality of cycles to reach a convergence, each of which cycles includes: (a) providing an old current value of each input signal, (b) selecting a test value of one or more input signals; (c) generating the function from the selected test values; and (d) selecting a new current value in dependence upon the relationship between the value of the function for the test value and the value of the function for the old current value. The test values include values close to old current values so as to move the input signal towards a local convergence for the output values.

Abstract: A process control system in a multi-input/output coordinate control system for executing coordinate control of a main input. The process control system includes operating point setting means for setting an operating point set value for an operating point of an n-th control output, n-th output control means for generating the n-th control output to control the main input based on the n-th control output, and m-th output control means for generating an m-th control output to control the operating point of the n-th control output so that the operating point of the n-th control output becomes equal to the operating point set value, thereby to allow the n-th control output of fast response to operate at the operating point set value by controlling the main input.

Abstract: An article including a computer readable medium having instructions stored thereon, which when executed, causes receipt of a control request for a medical-monitoring device located on a client and determining if the control request is serviceable by the medical-monitoring device. In addition, the instructions also include sending the control request unaltered to the client if the control request is serviceable by the medical-monitoring device, and modifying the control request to a serviceable control request if the control request is not serviceable by the medical-monitoring device.

Abstract: An article including a computer readable medium having instructions stored thereon, which when executed, causes receipt of a control request for a medical-monitoring device located on a client and determining if the control request is serviceable by the medical-monitoring device. In addition, the instructions also include sending the control request unaltered to the client if the control request is serviceable by the medical-monitoring device, and modifying the control request to a serviceable control request if the control request is not serviceable by the medical-monitoring device.

Abstract: An interacting term existing in a control system is decoupled on the basis of a regular condition of a decoupling matrix. Then, an hyperplane &sgr; which has been obtained to satisfy the Lyapunov stability condition is designed. A control quantity is converged along the hyperplane &sgr;. In this case, even if the uncertainty is generated in a C matrix for connecting a state variable x(t) and an output y(t) of an object to be controlled, it is possible to converge the control quantity while always satisfying the Lyapunov stability condition. A non-linear input gain ki (x,t) used in the control system is designed to be greater than a predetermined value when there is no uncertainty in the C matrix to satisfy the Lyapunov stability condition. Also, a control input signal based upon the sliding mode decoupling control is converted to an articulation torque by a Jacobian. Also, for the control input signal, reverse dynamics of non-linear force are added thereto.

Abstract: A decoupling controller for use with a process such as paper-making having two input variables such as stock flow and steam pressure and two output variables such as moisture and basis weight. Decoupling is accomplished by the use of linked internal model controllers where for each individual unit of the linked pairs, a P.I.D. (proportional, integral, derivative) unit includes all of the feedback loop gains and then the process itself is modeled by a first order transfer function and deadtime units with two cross-linked error signals fed back. A specific technique of cross-linking the internal model controllers eliminates cross-coupling between the input and output variables.

Abstract: A controller is provided for a multi-axis robot having at least first and second axis assemblies, the first and second axis assemblies each having an arm, a servomotor driven by a control input and a coupling in the form of a decelerator, which includes a spring element, coupling the servomotor and the arm, the second axis assembly being disposed at an end of the arm of the first axis assembly. The controller includes the first and second axis assemblies each including torsional angle detector for detecting a torsional angle of a respective one of the couplings. A dynamic coupling calculator calculates coupling parameters of the couplings. The first and second axis assemblies each include a semi-closed loop.