Adaptive Predictive Control of Time-varying NARMA Systems with Exact Output Tracking
In this paper,adaptive control aiming at asymptotic tracking is investigated for a class of NARMA (nonlinear auto-regressive moving average)systems with periodic time-varying parameters,unknown time delay and nonparametric nonlinear uncertainties.A time-varying dead zone with diminishing threshold is designed in the parameter estimator to deal with both parametric and nonparametric uncertainties.The effect of the nonparametric uncertainties as well as unknown time delay has been compensated for by the developed nearest-neighbor previous instant estimation technique.The closed loop stability and asymptotic tracking performance have been rigorously established by theoretic proof.
YANG Chenguang MA Hongbin
School of Computing and Mathematics,University of Plymouth,Plymouth PL4 8AA,United Kingdom School of Automation,Beijing Institution of Technology,Beijing 100081,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）