Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15072
Title: Development of new learning control approaches
Authors: YAN RUI
Keywords: Direct learning control; iterative learning control; repetitive learning control; parametric uncertainties; non-parametric uncertainties.
Issue Date: 1-Mar-2006
Source: YAN RUI (2006-03-01). Development of new learning control approaches. ScholarBank@NUS Repository.
Abstract: The main purpose of this thesis is to develop new learning control approaches for linear and nonlinear dynamic systems. A new DLC approach is proposed for a class of linear time varying, uncertain, and switched systems. For a class of linear systems in the presence of input singularity, which is incurred by the singularities of the system direct transmission term, two ILC approaches are designed by adding a forgetting factor and incorporating a time varying learning gain. In order to deal with a class of nonlinear systems without a priori knowledge of control directions, a new ILC approach is constructed with both differential and difference updating laws. A constructive function approximation approach is proposed for adaptive learning control to handle finite interval tracking problems. For ILC approaches, five different initial conditions are studied to disclose the inherent relationship between each initial condition and corresponding learning convergence (or boundedness) property. Furthermore, two new RLC approaches are proposed for systems with unknown periodic parameters and non-parametric uncertainties. Finally, as an application, a learning control approach is applied to deal with the synchronization problem of two uncertain chaotic systems.
URI: http://scholarbank.nus.edu.sg/handle/10635/15072
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