Title :
On interconnected iterative learning control loops
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkview, VIC, Australia
Abstract :
In this paper, interconnected iterative learning control loops are used to drive the output of general multi-input-multi-output nonlinear systems with general input uncertainties to the desired output. New convergence conditions are obtained to ensure the convergence of the overall system. A simulation example shows the effectiveness of the proposed method.
Keywords :
MIMO systems; adaptive control; control system synthesis; convergence of numerical methods; interconnected systems; iterative methods; learning systems; nonlinear control systems; nonlinear dynamical systems; time-varying systems; uncertain systems; convergence condition; input uncertainty; interconnected ILC loop design; interconnected iterative learning control loop; multiinput-multioutput nonlinear time-varying dynamical system; simulation example; Actuators; Control systems; Convergence; Electrical equipment industry; Manufacturing industries; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Robot motion; Uncertainty;
Conference_Titel :
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location :
Hong Kong
Print_ISBN :
978-89-956056-2-2
Electronic_ISBN :
978-89-956056-9-1
