Sliding mode learning control for T‐S fuzzy system and an application to hypersonic flight vehicle
Xiaoxiang Hu, Chenguang Guo, Changhua Hu, Bing He
Abstract
Abstract Sliding mode‐based learning control is presented for T‐S fuzzy system. A T‐S fuzzy model with both uncertainties and unmodeled dynamics is proposed firstly, in which the information of uncertainties and unmodeled dynamics are assumed to be unknown. Then, according to a given reference model, state‐tracking error system is built. Respecting facts, the input matrices of the built T‐S fuzzy model are different from each other. An extended state observer is built for estimating the unknown uncertainties and unmodeled dynamics, and a corresponding sliding surface is proposed. A learning controller is then presented for the closed loop system. Moreover, a numerical simulation result on hypersonic flight vehicles is considered to testify the controller's availability.