Control Systems Theory and Applications for Linear Repetitive Processes

Przednia okładka
Springer Science & Business Media, 20 lut 2007 - 456
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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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Spis treści

Examples and Representations
1
Stability Theory Tests and Performance Bounds
41
Lyapunov Equations for Discrete Processes
85
Lyapunov Equations for Differential Processes
117
Robustness
141
Controllability Observability Poles and Zeros 177
176
Feedback and Optimal Control
235
Control Law Design for Robustness and Performance
305
Application to Iterative Learning Control
369
Conclusions and Further Work
427
Processes?
436
References 451
450
Index
463
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