초록 ▼

A reduced control system suitable for control of a nonlinear or unstable plant is described. The reduced control system is configured to use a reduced sensor set for controlling the plant without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum

A reduced control system suitable for control of a nonlinear or unstable plant is described. The reduced control system is configured to use a reduced sensor set for controlling the plant without significant loss of control quality (accuracy) as compared to an optimal control system with an optimum sensor set. The control system calculates the information content provided by the reduced sensor set as compared to the information content provided by the optimum set. The control system also calculates the difference between the entropy production rate of the plant and the entropy production rate of the controller. A genetic optimizer is used to tune a fuzzy neural network in the reduced controller. A fitness function for the genetic optimizer provides optimum control accuracy in the reduced control system by minimizing the difference in entropy production while maximizing the sensor information content.

대표청구항 ▼

1. A method for controlling a plant, comprising the steps of: measuring first information from a plant by using a first plurality of sensors; providing said first information to a first control system, said first control system configured to provide a desired accuracy for said plant, said first cont

1. A method for controlling a plant, comprising the steps of: measuring first information from a plant by using a first plurality of sensors; providing said first information to a first control system, said first control system configured to provide a desired accuracy for said plant, said first control system providing a first control signal; measuring second information from said plant by using a second plurality of sensors, where said second plurality of sensors comprises fewer sensors than said first plurality of sensors; providing said second information to a second control system, said second control system providing a second control signal; and configuring said second control system using a training signal, said training signal calculated from said first control signal and said second control signal to configure said second control system to reduce an entropy production of said plant.