Control Systems Theory and Applications for Linear Repetitive Processes

After motivating examples, this monograph gives substantial new results on the analysis and control of linear repetitive processes. These include further applications of the abstract model based stability theory which, in particular, shows the critical importance to the dynamics developed of the str...

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Những tác giả chính: Rogers, Eric, Owens, David H. (Tác giả), Galkowski, Krzysztof, 1988- (Tác giả)
Định dạng: Livre numérique
Ngôn ngữ:Anglais
Được phát hành: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Phiên bản:1st ed. 2007.
Loạt:Lecture Notes in Control and Information Sciences 349
Những chủ đề:
Truy cập trực tuyến:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Chú thích: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Control systems theory and applications for linear repetitive processes, Eric Rogers, Krzysztof Galkowski, David H. Owens, Berlin, Springer, 2007, 1 vol. (XIV-466 p.), Lecture notes in control and information sciences, 3-540-42663-9
• Control Systems Theory and Applications for Linear Repetitive Processes, Texte imprimé, 9783540829652
• Control systems theory and applications for linear repetitive processes, Eric Rogers, Krzysztof Galkowski, David H. Owens, Berlin, Springer, 2007, 1 vol. (XIV-466 p.), Lecture notes in control and information sciences, 3-540-42663-9
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505 1 |a Examples and Representations Stability - Theory, Tests and Performance Bounds Lyapunov Equations for Discrete Processes Lyapunov Equations for Differential Processes Robustness Controllability, Observability, Poles and Zeros Feedback and Optimal Control Control Law Design for Robustness and Performance Application to Iterative Learning Control Conclusions and Further Work 
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520 |a After motivating examples, this monograph gives substantial new results on the analysis and control of linear repetitive processes. These include further applications of the abstract model based stability theory which, in particular, shows the critical importance to the dynamics developed of the structure of the initial conditions at the start of each new pass, the development of stability tests and performance bounds in terms of so-called 1D and 2D Lyapunov equations. It presents the development of a major bank of results on the structure and design of control laws, including the case when there is uncertainty in the process model description, together with numerically reliable computational algorithms. Finally, the application of some of these results in the area of iterative learning control is treated --- including experimental results from a chain conveyor system and a gantry robot system 
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