Abstract: Events that occur in a number of in domain communication channels where each channel is used by a communication service, are detected. A Bayesian Belief Network (BBN) defines a probabilistic cause-effect relationship between each cause and each effect on a victim channel. The probability of each of a number of possible causes as being a cause of interference in the victim channel is determined, by propagating observations of the interference backwards through the BBN.

Abstract: An apparatus for computer-aided design of a product or process is described. The apparatus includes a template module for storing a plurality of tasks and a plurality of rules for designing the product. The apparatus further includes a processing module coupled to the template module and being configured by the plurality of rules, for executing the plurality of tasks.

Abstract: A method and apparatus are disclosed. The method includes one or more of the following: compiling statistical models of physical layers of a communications system; creating a priori distributions of cross-talk transfer functions; storing the models and the a priori distribution in a storage medium; and using the models and the a priori distributions to diagnose probable causes of events detected in said communications system.

Abstract: A method and apparatus is disclosed for processing two or more signals received over a multichannel communication system to cancel or mitigate coupling and the effect of the channel on the two or more signals. In one embodiment a multichannel communication system utilizes DMT processing to transmit two or more signals over two or more channels. To recover the transmitted signal, processing in the receiver may comprise submitting the two or more signals to a matrix filter configured to cancel the effects of the channel, such as phase and magnitude distortion, and account for self FEXT. In addition, decision directed processing may occur, generating one or more cancellation signals based on the noise on the output of the matrix filter. By filtering the noise terms and generating a crosstalk compensation signal, the transmitted signal is recovered more faithfully and the performance of the communication system is improved.

Abstract: The present invention includes a method and system for limiting the ramp rate of a variable under control in order to control stress in a process or plant under control. The present invention takes a limit curve provided by the user and combines that limit curve with a scale factor curve obtained from a model of the system to produce an allowable limit curve. A ramp rate limiter then uses the allowable limit curve to control the ramp rate of the variable under control such that the ramp rate of the variable under control is able to achieve the maximum allowable limit but no more.

Abstract: A method is disclosed for automatic synthesis of multi-variable controllers. A design sequence for designing a controller for a system is selected, wherein the controller includes one or more controller components. A first set of parameters associated to the one or more controller components is then selected. A second set of parameters associated to the first set of parameters is subsequently selected. One or more parameters of the second set are then iteratively modified to obtain a set of modified parameters, until a plurality of performance characteristics calculated using the second set of parameters meets a performance objective for the system.

Abstract: A method and system for designing a compensator for a system is described. A structure of a model set and a compensator set is defined. The defined model set and compensator set is processed. Model set, compensator set, and model subsets are created from the processed model and compensator set. The created model set, compensator set, model subsets are evaluated.

Abstract: The present invention includes a method and system for reducing switching transients via large signal/small signal thresholding. The present invention prevents a switch from occurring if when the system (i.e., the system under control) is in small signal mode and permits switches to occur when the system is in large signal mode. Large signal and small signal modes are determined by comparing the difference between the most current value of a comparator variable and the final setpoint with a threshold distance. The system is in small signal mode if the most current value of the comparator variable less the final setpoint value is less than the threshold distance. Otherwise, the system is in large signal mode.

Abstract: The present invention includes a method and system for limiting the ramp rate of a variable under control in order to control stress in a process or plant under control. The present invention takes a limit curve provided by the user and combines that limit curve with a scale factor curve obtained from a model of the system to produce an allowable limit curve. A ramp rate limiter then uses the allowable limit curve to control the ramp rate of the variable under control such that the ramp rate of the variable under control is able to achieve the maximum allowable limit but no more.

Abstract: The present invention includes a method and system for limiting the ramp rate of a variable under control in order to control stress in a process or plant under control. The present invention takes a limit curve provided by the user and combines that limit curve with a scale factor curve obtained from a model of the system to produce an allowable limit curve. A ramp rate limiter then uses the allowable limit curve to control the ramp rate of the variable under control such that the ramp rate of the variable under control is able to achieve the maximum allowable limit but no more.

Abstract: The present invention is a method and apparatus for dynamic optimization of a dynamic physical system having a device under control and a controller along with a modeling system having an estimator and a constrained nonlinear program. The time varying trajectories of the dynamic physical system are parameterized and run through the modeling system in order to produce a set of optimal time varying setpoint trajectories to be used in the dynamic physical system. The optimal time varying setpoint trajectories optimize the physical system to produce the desired end result (or product) of the dynamic physical system.

Abstract: A method for computer aided design of a product or process. The method includes the steps of representing a computer-aided design activity as a design cycle. The design cycle is then converted into individual iterations of decisions to be made within the design cycle. The individual iterations of decisions are then mapped into a hierarchical structure of influence diagrams. The decision making process of the influence diagrams are performed and data is collected from the decision process that has been performed. The remaining unexecuted decisions and their posterior probabilities are updated based upon the outcomes of the decision process that was most recently performed.

Abstract: The present invention is a method and apparatus for dynamic optimization of a dynamic physical system having a device under control and a controller along with a modeling system having an estimator and a constrained nonlinear program. The time varying trajectories of the dynamic physical system are parameterized and run through the modeling system in order to produce a set of optimal time varying setpoint trajectories to be used in the dynamic physical system. The optimal time varying setpoint trajectories optimize the physical system to produce the desired end result (or product) of the dynamic physical system.

Abstract: The present invention includes a method and system for nonlinear feedforward control for ramp following and overshoot minimization in a plant under control. The present invention augments a feedforward system with a nonlinear compensation mechanism for minimizing the overshoot that occurs in a conventional feedforward system.