The Model-Free Learning Adaptive Control of a Class of Nonlinear Discrete-Time Systems

The model-free learning adaptive control (MFLAC) of a class of nonlinear discretetime systems is presented in this paper. No structural information, mathematical model,externaltesting signals and training process are needed,it is designed only by using I/O data of the controlled systems. The unmodelled dynamics do not exist. The simulation results for several typicalnonlinear systems are given to demonstrate the correctness and effectiveness of the approach proposed.