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This paper uses 2D control systems theory to develop robust iterative learning control laws for linear plants with experimental validation on a gantry robot used for `pick and place' operations commonly found in industries such as food processing. In particular, the stability theory for linear repetitive processes provides the setting for analysis and this allows design to take account of trial-to-trial...
This paper deals with the robust iterative learning control (ILC) problem for time-delay systems (TDS) subject to matched parameter uncertainties. Based on two-dimensional (2-D) approach, a stability analysis of the ILC process is developed in the sense that the control error converges monotonically as a function of iteration. It shows that a sufficient condition for the ILC stability can be given...
We develop a Linear Matrix Inequality (LMI) tool for analyzing the stability and performance of adaptive controllers that employ sigma-modification. The formulation involves recasting the error dynamics composed of the tracking error and the weight estimator error into a linear parameter varying form. We show how stability, convergence rate, domain of attraction, and the transient and steady state...
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