2013•Techniques of Automation and ApplicationsRequires access

Iterative Learning Control Analysis and Simulation

Wei Han

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Abstract

Iterative learning control is suitable for repetitive motion nature of the controlled object,and to improve the iteration correction to achieve some control over the target.The basic principle of iterative learning control is discussed,the arithmetic for iterative learning control is mainly analysed,the problems and simulation example are also discussed.The simulation shows that the convergence rate of the closed loop iterative learning control is better than the convergence rate of the open loop iterative learning control.

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What this paper is about

Iterative learning control is suitable for repetitive motion nature of the controlled object,and to improve the iteration correction to achieve some control over the target.The basic principle of iterative learning control is discussed,the arithmetic for iterative learning control is mainly analysed,the problems and simulation example are also discussed.The simulation shows that the convergence rate of the closed loop iterative learning control is better than the convergence rate of the open loop iterative learning control.

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Available abstract

Iterative learning control is suitable for repetitive motion nature of the controlled object,and to improve the iteration correction to achieve some control over the target.The basic principle of iterative learning control is discussed,the arithmetic for iterative learning control is mainly analysed,the problems and simulation example are also discussed.The simulation shows that the convergence rate of the closed loop iterative learning control is better than the convergence rate of the open loop iterative learning control.

Key concepts: Iterative learning control, Convergence (economics), Iterative method, Computer science, Rate of convergence, Object (grammar), Control (management), Control theory (sociology)

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