Quantized Data Driven Model-Free Adaptive Predictive Control for a Class of Nonlinear Systems

In this paper, a quantized data driven model-free adaptive predictive control algorithm is presented for a class of nonlinear systems to deal with the limited network transmission capacity. Firstly, a uniform quantizer is designed to handle the network bandwidth limitation and an encoding-decoding mechanism is introduced to reduce the effects of quantization errors. Secondly, based on compact form dynamic linearization method, by only utilizing the input and output data of the control system, a quantized data driven control scheme is designed. Finally, a simulation is given to show the effectiveness and robustness of the presented control algorithm.