Overview
- presents substantial new results on the analysis and control of linear repetitive processes
- includes motivating examples and applications in the area of iterative learning control
- includes experimental results from a chain conveyor system and a gantry robot system.
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 349)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Control Systems Theory and Applications for Linear Repetitive Processes
Authors: Eric Rogers, Krzysztof Galkowski, David H. Owens
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-3-540-71537-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-42663-9Published: 20 February 2007
eBook ISBN: 978-3-540-71537-5Published: 11 July 2007
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XII, 456
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Complexity, Systems Theory, Control