Title :
A model-free adaptive switching control approach for a class of nonlinear systems
Author :
Shang-tai Jin ; Zhong-sheng Hou ; Rong-hu Chi
Author_Institution :
Adv. Control Syst. Lab., Beijing Jiaotong Univ., Beijing, China
Abstract :
In this paper, a model-free adaptive switching control (MFASC) approach is proposed for a class of discrete-time nonlinear systems with unknown control direction. The control scheme consists of a control algorithm, a parameter estimation algorithm and a switching mechanism. Its distinct feature is that the controller design depends merely on the measured input and output data of the controlled plant without requiring any other modeling information of the plant, and it is able to deal with the system with unknown control direction by introducing a hysteresis switching mechanism. Numerical simulations show the effectiveness of the proposed approach.
Keywords :
adaptive control; control system synthesis; discrete time systems; nonlinear control systems; numerical analysis; parameter estimation; switching systems (control); MFASC approach; control algorithm; control scheme; controller design; discrete-time nonlinear system; hysteresis switching mechanism; model-free adaptive switching control approach; nonlinear systems; numerical simulation; parameter estimation algorithm; unknown control direction; Adaptation models; Adaptive control; Data models; Hysteresis; Nonlinear systems; Switches; Data-driven control; Model-free adaptive control; Nonlinear system; Switching Control; Unknown control direction;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052748
