A neurocontroller with adaptive static state decoupling for multivariable systems

Abstract

The neurocontroller with adaptive static state decoupling for multivariable systems is proposed in this paper. In this new intelligent control system, a recursive least squares method with a changeable forgetting factor is used to obtain the parameters of the low-order model of the multivariable system. The multivariable system is decoupled statically, and then the neurocontroller is used in each input-output path to control the decoupling multivariable system. The simulation test results show that good performance, strong robustness and adaptability are obtained.