Nash game based mixed h2 h8 model predictive control applied with laguerre wavelet network model

Abstract

Model predictive control MPC is one of the most successful approaches for controlling constrained processes As MPC design explicitly uses a process model in the computation of the optimal control input an efficient model the closed loop stability and robustness are the major issues in this controller design approach The scope of this thesis broadly spans two areas nonlinear system identification and robust MPC design In nonlinear system identification a newer kind of Wiener type nonline