Indirect Adaptive Fuzzy Output Control for SISO Nonlinear Systems with Unknown Control Direction
This paper presents an indirect adaptive fuzzy output control for a class of uncertain single-input single-output(SISO)nonlinear systems with unknown control direction.A state observer is designed to estimate the unmeasured state,the adaptive fuzzy controller is designed in the presence of only system output is available for measurement,and a robust controller is used to compensate for the lumped errors.The Nussbaum gain is incorporated in the robust controller to estimate the unknown control direction,and the parameter adaptive laws are designed by the fuzzy basis functions rather than its filtering.The proposed design scheme guarantees that all the signals in the resulting closed-loop systems are bounded and the tracking errors converge asymptotically to zero.A simulation example is used to demonstrate the effectiveness of the proposed scheme.
SISO nonlinear system Fuzzy adaptive control State observer Nussbaum gain
Wuxi Shi Shaoping Chang Hongquan Wang
School of Electrical Engineering and Automation,Tianjin Polytechnic University,Tianjin 300387,P.R.China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
4570-4575
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）