Constrained Networked Predictive Control for Nonlinear Systems Using a High-Order Fully Actuated System Approach

Abstract

In this letter, a constrained networked predictive control strategy is proposed for the optimal control problem of complex nonlinear high-order fully actuated (HOFA) systems with noises. The method can effectively deal with nonlinearities, constraints, and noises in the system, optimize the performance metric, and present an upper bound on the stable output of the system. Compared with existing control methods for nonlinear systems, the proposed strategy not only improves the stability and robustness of the system, but also has greater applicability in practical applications. The effectiveness and superiority of the strategy are demonstrated through case studies, which provide a new solution for the networked predictive control of constrained nonlinear high-order systems.