Linear Quadratic Regulator Using Artificial Immunize System

AbstractThis work demonstrates the application of Artificial Immunized System (AIS) in designing on-line the parameters of the Linear Quadratic Regulator (LQR) for SISO plant. The AIS is used in creating the adaptive critics which represent the matrix parameters in the solution of the Riccati equation of the LQR. It is found that the AIS possess promising features to deal on-line with the plant parameter variations and reflect acceptable regulating and tracking characteristics. Key words: Artificial Immunized System, Evolutionary Algorithms, Adaptive Systems, Linear Quadratic Regulator.