Indirect Adaptive Fuzzy Tracking Controller for MIMO Nonlinear Systems
Indirect adaptive fuzzy tracking controller is presented for MIMO nonlinear systems with unknown nonlinearities. Using the state observer, this method doesnt need the assumption that the states are available for measurement. Based on observer, the Lyapunov theory is applied to analyse the fuzzy system to obtain the corresponding parameters adaptive laws. The key assumption is that the approximation errors satisfy certain bounding conditions. The proposed fuzzy controller guarantees that system stability and also maintains a good tracking performance. Simulations are provided to show the efficiency of the approach.
Xinjiang Wei Lingyao Wu Lei Guo
School of Automation Southeastern University Nanjing, 210096;Mathematical and Information Department School of Automation Southeastern University Nanjing, 210096
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）