A Discrete-time Periodic Adaptive Control for Systems in the Presence of Nonsector Nonlinearities
A new periodic least-squares estimator with nonlinear data weighting is developed and used to design a periodic adaptive control for a simple discrete-time nonlinear system in the presence of time-varying parametric uncertainties. A global stability result is obtained through Lyapunov analysis without assuming any growth conditions on the nonlinearities. Simulation results further confirm the effectiveness of the presented methods.
CHI Ronghu ZHANG Yongbo JIN Shangtai HOU Zhongsheng
School of Automation & Electronics Engineering, Qingdao University of Science & Technology, Qingdao Advanced Control Systems Lab, School of Electronics & Information Engineering, Beijing Jiaotong Univ
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-4
2011-07-01(万方平台首次上网日期,不代表论文的发表时间)