Observer-Based Adaptive Inverse Optimal Output Regulation for a Class of Uncertain Nonlinear Systems

This paper addresses the adaptive inverse optimal output regulation problem for a class of uncertain nonlinear systems driven by an exosystem. The unknown parameters, internal disturbances, and unmeasured states are contained in system. Firstly, is decomposed into feedforward control design which can be solved model based on theory, stabilization problem. Then auxiliary system designed, new state observer related to given. By combining technology method, novel feedback controller developed make track reference signal fast. With this strategy, all signals closed-loop uniformly ultimately bounded (UUB), newly well-defined cost functional connected with minimized. Finally, simulation case put forward verify feasibility raised observer.