Full Form Dynamic Linearization Based Data-driven MFAC for a Class of Discrete-time Nonlinear Systems
In this paper, we propose a data-driven Model Free Adaptive Control (MFAC) scheme based on Full Form Dynamic Linearization (FFDL) for nonlinear systems. First, using FFDL technique, we transform a nonlinear system into an equivalent linear time-varying system with Pseudo-Partial Derivative vector as time-varying parameters. Second, we construct an indirect adaptive control system for the linear time-varying system. Finally, we analyze the stability and the tracking error of the MFAC scheme, show that all the signals in the closed-loop are bounded provided the parameter variations are small and present the dynamic equation of the tracking error.
Data-driven Control Model Free Adaptive Control Linear Time-varying System
Yongqiang Li Zhongsheng Hou Xiangbin Liu
Advanced Control Systems Lab, School of Electronics and Information Engineering, Beijing Jiaotong Un Advanced Control Systems Lab, School of Electronics and Information Engineering, Beijing Jiaotong Un Advanced Control Systems Lab, School of Electronics and Information Engineering, Beijing Jiaotong Un
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
127-132
2011-05-23(万方平台首次上网日期,不代表论文的发表时间)