{"product_id":"iterative-learning-control-robustness-and-monotonic-convergence-for-interval-systems-von-hyo-sung-ahn-yangquan-chen-kevin-l-moore","title":"Iterative Learning Control","description":"This monograph studies the design of robust, monotonically-convergent it- ative learning controllers for discrete-time systems. Iterative learning control (ILC) is well-recognized as an e?cient method that o?ers signi?cant p- formance improvement for systems that operate in an iterative or repetitive fashion (e. g. , robot arms in manufacturing or batch processes in an industrial setting). Though the fundamentals of ILC design have been well-addressed in the literature, two key problems have been the subject of continuing - search activity. First, many ILC design strategies assume nominal knowledge of the system to be controlled. Only recently has a comprehensive approach to robust ILC analysis and design been established to handle the situation where the plant model is uncertain. Second, it is well-known that many ILC algorithms do not produce monotonic convergence, though in applications monotonic convergencecan be essential. This monograph addresses these two keyproblems by providingauni?ed analysisanddesignframeworkforrobust, monotonically-convergent ILC. The particular approach used throughout is to consider ILC design in the iteration domain, rather than in the time domain. Using a lifting technique, the two-dimensionalILC system, whichhas dynamics in both the time and - erationdomains,istransformedintoaone-dimensionalsystem,withdynamics only in the iteration domain. The so-called super-vector framework resulting from this transformation is used to analyze both robustness and monotonic convergence for typical uncertainty models, including parametric interval - certainties, frequency-like uncertainty in the iteration domain, and iterati- domain stochastic uncertainty.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781846288463\"\u003e\u003ch3\u003eRobustness and Monotonic Convergence for Interval Systems\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781849966580\"\u003e\u003ch3\u003eRobustness and Monotonic Convergence for Interval Systems\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Hardcover - 9781846288463","offer_id":39629558055005,"sku":"9781846288463","price":160.49,"currency_code":"EUR","in_stock":true},{"title":"Softcover - 9781849966580","offer_id":39418355941469,"sku":"9781849966580","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/947a2367-c3b9-4d72-b3c8-1610e92540f7.jpg?v=1777435815","url":"https:\/\/shop.autorenwelt.de\/products\/iterative-learning-control-robustness-and-monotonic-convergence-for-interval-systems-von-hyo-sung-ahn-yangquan-chen-kevin-l-moore","provider":"Autorenwelt Shop","version":"1.0","type":"link"}