An Optimal Control Problem of Adaptive Fuzzy Controllers for Fuzzy Control Systems
Advances in nonfinear control theory have provided the mathematical foundations necessary to establish conditions for stability of adaptive fuzzy controllers. In this paper, we dedicate to fuzzy control systems with the use of Popovs hyper-stability theory. We present a stability analysis method which provides useful information to the development of fuzzy control systems and give a comparative analysis between the adaptive fuzzy techniques and some conventional adaptive control techniques. Furthermore, we display the presence of random disturbances in the control process in order to demonstrate the validity of the hybrid modeling dynamically and determine the optimal admission policies. Meanwhile, a new mathematical model is proposed to solve the optimal problem based on computational granular framework and fuzzy partitions of involved variables, automatic fuzzy hypotheses generation and testing.
fuzzy optimal control fuzzy weighted rules probabilistic model stability analysis
Gang Liu Jing-hua Han Yu-bin Wu Mei-jiao Liu
School of Science Shenyang Institute of Aeronautical and Engineering Shenyang, 110136, China
国际会议
长沙
英文
619-622
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）