A Novel Adaptive Fuzzy Generalized Predictive Control for a Class of Nonlinear Systems

摘要：

A novel adaptive fuzzy generalized predictive control scheme is presented for a class of nonlinear systems. The unknown nonlinear plants are represented by an equivalent model composed of a simple linear submodel plus a nonlinear submodel around operating points. A linear generalized predictive controller is designed based on the linear submodel, a compensation term, which is implemented with a adaptive fuzzy system, is introduced to control nonlinear systems, the unknown parameters adaptation law is derived from Lyapunov stability theory. The proposed design scheme guarantees that all the signals in the resulting closed-loop system are bounded, and the response of the proposed schemes of this paper can almost agree with that of the linearized system. Simulation results indicate the effectiveness of this scheme.

关键词： Nonlinear Systems Generalized Predictive Control Adaptive Fuzzy Control

作者: Shi Wuxi Ma Yingxin Chen Yuchan Guo Ziguang

作者单位: School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin, 300387, P. R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3494-3498

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）