Abstract: Real-time optimization is conducted for a control device having a fuzzy inference system that can optimize characteristics of the control device in real time, by coding parameters used in the fuzzy inference system into chromosomes, and optimizing in real time the output of the control device by subjecting the chromosomes to evolutionary computation. Coding is conducted by (i) revising a matrix of fuzzy rules used in the system by extracting a section from the matrix and coding elements of the section into chromosomes; (ii) modifying the configuration of the fuzzy rule matrix defined by membership functions by coding elements of the membership functions into chromosomes; or (iii) changing a level of an input of the parameters and a level of an output of the fuzzy inference system.

Abstract: A method of controlling the movements of a multi-actuator electro-mechanical system having a matrix of locally interconnected analog cells associated therewith is provided. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model includes a fuzzy circuit architecture which may be implemented in an integrated circuit with VLSI CMOS technology that generates and controls a reaction diffusion mechanism typical of auto-waves using a fuzzy neural network. The fuzzy neural network defines the functional relationships that may duplicate simultaneous reaction diffusion equations. The duplication of the simultaneous reaction diffusion equations is provided using two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cells. An oscillatory type dynamic is imposed on each cell where two dynamic processes having different kinetic characteristics coexist.

Abstract: The invention uses fuzzy logic and/or probability distributions to automatically calculate and display the effects of contextual information on the confidence that an object in an image is an object of interest. The goal is to assist in determining the location and type of target objects of interest in that imagery. The imagery can come from any kind of imaging sensor or can be non-sensor imagery (e.g., two-and three-dimensional maps), and can be live or archived imagery. The locations of context objects can be provided by a human or a computer. The resulting set of data, including the original imagery, the locations of context objects, any results from AOD, and predictions about target object type and location, can be combined into a display that helps a human better understand where target object appears in the imagery.

Abstract: The area of the circuit to be added for easy testability is reduced. Operations contained in a behavioral description are extracted in an operation analyzing unit; when expanding any operation at the time of behavioral synthesis, if the area of the circuit can be reduced to a greater extent when a DFT is applied to the operation before expansion, a parameter indicating that the operation is not to be expanded at the time of behavioral synthesis is generated and DFT information is added to a DFT library. A behavioral synthesis unit, in accordance with the parameter, generates an RTL description without expanding the operation. A DFT unit implements the DFT by referring to the DFT library, and thereafter expands the operation.

Abstract: The present invention provides for a system and method for data network control. Using a flow control system, embodiments of the present invention can analyze traffic flow volume and performance, incorporate usage, billing, and cost control data to yield an improved data network controller. Efficiency in data routing is improved while costs are decreased by enabling the selection of the optimal performance data route. Cost constraints and costs are minimized for an overall data load. Given a diverse set of cost structures for available transit providers, the overall system cost can be minimized by distributing traffic in a manner that takes advantage of the diverse billing structures and yet maintains acceptable performance levels. Systems and methods in accordance with embodiments of the present invention determine projected flow performance and projected flow volume in relation to the available bandwidth and marginal cost to a destination provider.

Abstract: This invention proposes a novel nonlinear filter called adaptive weighted fuzzy mean (AWFM) filter which is capable of removing high density Gaussian impulse noises in polluted images. Via a single epoch, weights of the filter are departed according to a set of fuzzy rules, which are constructed by a proposed procedure. All the fuzzy rules in the knowledge base infer concurrently for input nature estimation and filter adaptation. Statistic analyses ensure that this AWFM filtering possesses robust and consistent performance even when images are thoroughly polluted. The AWFM filter is synthesized with generic LR fuzzy cells which adopts CMOS analog current mode technology to subject high speed, low power, and small circuit area objectives. Simulations show that parallel inferences realized by the generic LR fuzzy cells, each of which performs 20 M FLIPS (fuzzy logic inferences per second) promise that the synthesized AWFM filter is able to process up to 50 256×256 images per second.

Abstract: A fuzzy-logic based overload control for packet switches wherein a distribution curve is developed regarding the overload possibility versus receive packet stream processing rate. The transmit packet stream is measured and a processing rate of the receive packet stream is measured. An overload possibility value is manipulated according to the measured bursts of the transmit packet stream and a location on the distribution curve of the measured processing rate. Packets are dropped from the transmit stream if the overload possibility value is above a threshold.

Abstract: An apparatus and method for controlling trajectory of an object (47) to a first predetermined position. The apparatus has an input layer (22) having nodes (22a-22f) for receiving input data indicative of the first predetermined position. First weighted connections (28) are connected to the nodes of the input layer (22). Each of the first weighted connections (28) have a coefficient for weighting the input data. An output layer (26) having nodes (26a-26e) connected to the first weighted connections (28) determines trajectory data based upon the first weighted input data. The trajectory of the object is controlled based upon the determined trajectory data.

Abstract: An MFC controlling device automation method and related system. The method mainly comprises the steps of automatically controlled algorithmic obtaining of MFC open loop system parameters by an identification technique; automatically controlled algorithmic determining of PI control parameters by a dominant pole-placement method; and automatically controlled calculating of a fuzzy logic rule table. The steps form an automatically controlled single closed loop. By performing said steps, multiple PI control parameter sets are obtainable fast and in an automatic way, and a calculation is done to form a refined fuzzy rule data table, so that a greatly enhanced MFC reaction function is attained.

Abstract: A control system for an actuator employs a number of discrete feedback controllers each tuned to different operating conditions or parameters. The competing outputs of the feedback controllers are combined using fuzzy logic which dynamically effects a combination depending on the output values. One set of rules in the preferred embodiment gives greater weighting to the output having relatively lower effect on the control process.

Abstract: In a system of information processing by fuzzy logic, force coefficients are associated with values of variables processed by a fuzzy logic processor. The force coefficients show the degree of urgency with which information sent has to be taken into consideration or indicating the imperative nature of this information. In a network structure, this force coefficient is incorporated into address signals conveyed on the network. Then, in the membership function memories of the fuzzy logic processors, there are memories that take account of the classes of addresses for the extraction therefrom of the character of urgency of the information elements concerned.

Abstract: An apparatus over or under approximates the result of dividing a binary number representing an integer 2n. The division by 2n is performed by truncating the n least significant bits of the integer. In order to over or under approximate the result, the nth truncated bit, i.e., the most significant bit of the n-truncated less significant bits, is added to the integer represented by the remaining non-truncated bits.

Abstract: In a method, according to the invention, of storing one or more natural membership functions of respectively one or more natural variables being each defined within a natural universe of discourse having a lowest natural value and a highest natural value, the natural membership functions are normalized through respective normalization coefficients so that they are defined within the same predetermined absolute universe of discourse having a lowest absolute value and a highest absolute value, thereby obtaining one or more absolute membership functions, respectively, and said absolute membership functions and said normalization coefficients are stored, taking account that identical absolute membership functions are stored only once.

Abstract: In data transfer connections with disturbances, e.g. in cellular networks, it is possible to establish and maintain an optimal connection using the solution according to the present invention. The optimal parameters for each data transfer connection are saved in the modem database. When the user next calls a number, the data of which has been saved, the parameters saved in the database are first used for the connection control. Interference occurring during the data transfer is handled with the help of the database with adaptive logic searching for the optimal data transfer rate and other connection parameters.

Abstract: A method and apparatus for controlling tension of a material on a winder by controlling the torque on the winder using a fuzzy logic controller which automatically determines various material and operating characteristics and adjusts torque as a function of the determined characteristics including material density, spindle inertia, material acceleration and diameter of material accumulated on a spindle.

Abstract: In a method and arrangement for adapting a sliding mode fuzzy controller to destabilizing changes, control characteristics of the sliding mode fuzzy controller, a closed control loop, are characterized by linguistic variables and are interpreted using linguistic rules in an adaptation block in the control loop which also employs fuzzy control. The rules are configured such that an optimally fast approach of a momentary state condition to the switching line or switching surface of the sliding controller occurs. For adaptation, supporting points are defined in the characteristic of the sliding mode fuzzy controller and these are shifted for the purpose of a desired control behavior, such as by variation of the output fuzzy sets. A separate fuzzy rule set is thus designed for each individual support point.

Abstract: An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic ("ELF") System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.

Abstract: In a fuzzy control apparatus in which a rule is capable of being changed during operation, a fuzzy reasoning output which prevails immediately prior to a rule change is stored when a rule change is made, and a fuzzy-control output is generated by combining, after the rule change, the stored fuzzy reasoning output which prevailed immediately prior to the rule change and a fuzzy reasoning output which prevails following the rule change. The ratio of the combination is altered in such a manner that, with the passage of time from the moment at which the rule change is made, there is a gradual decrease in a percentage of the fuzzy reasoning output which prevailed immediately prior to the rule change, and a gradual increase in a percentage of the fuzzy reasoning output which prevails following the rule change, in the fuzzy-control output.

Abstract: A method for storing a membership function, include storing a position of a vertex of a triangle that defines the membership function in a universe of discourse and storing a first distance between the position of the vertex a point of intersection between a left side of the triangle and an axis of the universe of discourse. Further, the method includes storing a second distance between the position of the vertex and point of intersection between right side of the triangle and the axis of the universe of discourse. The present invention furthermore relates to a circuit for calculating a grade of membership of an antecedent of a fuzzy rule, and is adapted to fuzzify an input variable by adopting the geometric proportions that occur between homologous sides of similar triangles defined by the position of the input value in the universe of discourse.

Abstract: A fuzzy control system, particularly for dose rate control in an X-ray diagnostics apparatus, such a control system converting input signals into output signals. A first and a second individual module are provided, whereby respectively at least two input signals can be supplied to the first and to the second individual module for generating an output signal. Compared to a fuzzy control system that does not comprise these individual modules, the rule base becomes smaller, only input conditions that have influence on the individual module need be provided with rules, so that a simple check of the rules for completeness is assured.

Abstract: A direct adaptive fuzzy controller having an adaptation mechanism that modifies the locations of output membership functions to improve performance of the fuzzy controller. The controller has a fuzzy rule base that has a different or unique output membership function for each fuzzy rule. The adaptation mechanism modifies the location of the output membership functions in response to the performance of the controller system, to continuously improve its performance. The controller is a feedback mechanism that functions not only using measured outputs of the process controlled, but has feedforward compensation that causes the controller to anticipate feedback due to measured disturbances or other parameters of the process.

Abstract: An arrangement for modeling a non-linear process including at least one input variable (x1, x2) and at least one output variable (y) can include a neural network and a device for specifying functional (or operational) values. A function of the neural network is determined in a first part of the domain of input variables (x1, x2) by learning from measuring data, which are obtained from the process by acquiring measured values. An empirically based device for specifying functional (or operational) values, preferably a fuzzy system, is provided in a second part of the domain of input variables (x1, x2) in which there are no measuring data for training the neural network. This arrangement is particularly useful when it is implemented in controllers.

Abstract: This invention relates to a fuzzy processor having an input X for at least a plurality of input variables X-i and an output U for one or more output results U-k, and including a fuzzyfication unit FU having an input coupled to the input X, a fuzzy rule processing unit RU having an input coupled to the output of the fuzzyfication unit FU, and a defuzzyfication unit DU having an input coupled to the output of the processing unit CU and an output coupled to said output U, wherein the output of the defuzzyfication unit DU is coupled to the input of the fuzzyfication unit FU and/or to the input of the processing unit RU.

Abstract: Analog processor of antecedent parts of fuzzy logic inference rules and comprising a plurality of analog generators of membership function each having an output supplying a value corresponding to a degree of truth complemented to one (.alpha.') of logical assignments of the type (A is A') with the outputs being connected together to form a common circuit node and also connected to a current generator and the processor comprising also a voltage control device inserted between a supply voltage pole and a ground voltage reference and a one-way element connected to the common circuit node and the one-way element having an output producing an overall degree of truth for the antecedent part of the fuzzy rule to be processed.

Abstract: A fuzzy logic supervisory control architecture for aircraft engines includes a series of fuzzy proportional integral controllers each designed for a specific operating range and a fuzzy logic hierarchical controller for combining the fuel flow derivative outputs of the individual controllers. The hierarchical controller utilizes fuzzy logic on the input space fuzzified to linguistic values for engine temperature, power turbine speed and spool acceleration to determine a weighting to be given to each of the controller outputs for fuel flow derivative.