Optimal Robust Decentralized Control Design for Fuzzy Complex Systems

摘要：

A new decentralized control is designed for a class of fuzzy complex systems. This system is in the form with dimensionality, uncertainty and information structure constraints. The uncertainty, which is bounded, may be due to the unknown parameters and input disturbance. The control scheme is high-order, while the control design is formulated as a constrained optimization problem, which reflects the system’s average fuzzy characteristics. We show that the solution to this optimization problem exists and is unique regardless uncertainties and disturbance. An illustrative example is employed for further verification of this control method.

关键词： complex system uncertainty fuzzy set theory optimization

作者: Dan Xiong Y.H. Chen Han Zhao Jin Huang

作者单位: School of Mechanical and Automotive Engineering , Hefei University of Technology, Hefei, Anhui 23000 The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, G School of Mechanical and Automotive Engineering , Hefei University of Technology, Hefei, Anhui 23000 The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Ch

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: 1083-1088

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）