Backstepping Design of Uncertain Nonlinear Systems Based on Adaptive Fuzzy Approximation
A novel adaptive fuzzy approach is proposed in this paper to control a class of uncertain strict-feedback nonlinear systems. The approach employs nonlinearly parameterized fuzzy systems to approximate the unknown nonlinear functions in the design of the controlled system, which removes the restriction that basis functions of the fuzzy systems must be known. Following a backstepping procedure, an adaptive fuzzy controller is obtained which guarantees that all signals in the closed-loop system are bounded and the output of the controlled system converges to a small neighborhood of the given reference signal. The main advantages of the proposed approach are that it does not require the fuzzy approximators with known basis functions, and the computation burden of the controller is reduced by managing to decrease the on-liner parameters. An example is included to demonstrate the effectiveness of the approach.
Strict-feedback nonlinear system Adaptive control Nonlinearly parameterized fuzzy approximation Backstepping External disturbance
Ping Li
College of Information Science and Engineering, Huaqiao University, Xiamen, 361021 School of Information Science and Engineering, Northeastern University, Shenyang, 110004
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2902-2907
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）