Abstract:
This paper presents an Hinfin-based design technique for synthesis of higher-order iterative learning controllers (ILC) for plants subject to iteration-domain input/outpu...Show MoreMetadata
Abstract:
This paper presents an Hinfin-based design technique for synthesis of higher-order iterative learning controllers (ILC) for plants subject to iteration-domain input/output disturbances and plant model uncertainty. Using a formulation of the higher-order ILC problem into a high-dimensional MIMO discrete-time system, it is shown how the addition of input/output disturbances and plant model uncertainty to the ILC problem can be cast into a standard Hinfin framework. An algebraic approach to solving the problem in this framework is presented, resulting in a sub-optimal controller that can achieve both stability and robust performance. The key observation is that Hinfin synthesis can be used for higher-order ILC design to achieve reliable performance in the presence of iteration-varying external disturbances and model uncertainty
Date of Conference: 27-29 June 2005
Date Added to IEEE Xplore: 13 March 2006
Print ISBN:0-7803-8936-0