Title :
On three discrete-time adaptive ILCs for different nonlinear uncertain systems
Author :
Chi Ronghu ; Zhang Dexia ; Hou Zhongsheng ; Wang Danwei
Author_Institution :
Sch. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
In this paper, three discrete-time adaptive ILC approaches are discussed fully. In parallel with the continuous-time systems, a discrete-time adaptive ILC with time-difference estimator is first proposed for a class of discrete-time systems with constant parametric uncertainties. And then, a discrete-time adaptive ILC with hybrid-difference estimator is proposed for the other class of discrete-time systems with a mixture of time-varying and time-invariant uncertain parameters. The existing discrete-time adaptive ILC with iteration-difference is also reviewed for the convenience of comparison. Three cases are considered in the simulation to show the effectiveness of the proposed adaptive ILCs and to answer the question that which one is most suitable for the different controlled systems.
Keywords :
adaptive control; discrete time systems; estimation theory; iterative methods; learning systems; nonlinear control systems; time-varying systems; uncertain systems; constant parametric system uncertainties; continuous-time systems; discrete-time adaptive ILC approaches; hybrid-difference estimator; iteration-difference; iterative learning control; nonlinear uncertain systems; time-difference estimator; time-invariant uncertain parameters; time-varying uncertain parameters; Adaptive systems; Discrete-time systems; Time-varying systems; Trajectory; Uncertain systems; Uncertainty; Adaptive ILC; Discrete-time systems; Hybrid-difference estimator; Iteration-difference estimator; Time-difference estimator;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6560972