Adaptive control for Hammerstein systems with dead-zone nonlinearity and bounded noise
This note focuses on robust adaptive controller design for Hammerstein systems with symmetric dead-zone nonlinearity and bounded noise. A modified control law is proposed to compensate dead-zone nonlinearity and a new recursive estimator with a nonnegative data weighting is presented to deal with bounded noise. From convergence properties and global stability analysis, we show that parameter estimation is convergent and the closed-loop system is globally stable. What is more, the theoretical results also show that tracking error is convergent with a specific residue which is related to parameter estimation and the upper bound of noise.
Hammerstein models adaptive control recursive estimator dead-zone nonlinearity bounded noise global stability
Bi Zhang Zhizhong Mao
School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
国际会议
长沙
英文
28-32
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）