Control of Uncertain Sampled-Data Systems
β Scribed by Geir E. Dullerud (auth.)
- Publisher
- BirkhΓ€user Basel
- Year
- 1996
- Tongue
- English
- Leaves
- 189
- Series
- Systems & Control: Foundations & Applications
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
My main goal in writing this monograph is to provide a detailed treatment of uncertainty analysis for sampled-data systems in the context of sysΒ tems control theory. Here, sampled-data system refers to the hybrid sysΒ tem formed when continuous time and discrete time systems are interconΒ nected; by uncertainty analysis I mean achievable performance in the presΒ ence of worst -case uncertainty and disturbances. The focus of the book is sampled-data systems; however the approach presented is applicable to both standard and sampled-data systems. The past few years has seen a large surge in research activity centered around creating systematic methods for sampled-data design. The aim of this activity has been to deepen and broaden the, by now, sophisticated viewpoint developed for design of purely continuous time or discrete time systems (e.g. J{oo or -I!l optimal synthesis, J1 theory) so that it can be apΒ plied to the design of sampled-data systems. This research effort has been largely successful, producing both interesting new mathematical tools for control theory, and new methodologies for practical engineering design. Analysis of structured uncertainty is an important objective in control design, because it is a flexible and non-conservative way of analyzing sysΒ tem performance, which is suitable in many engineering design scenarios.
β¦ Table of Contents
Front Matter....Pages i-xiv
Introduction....Pages 1-10
Preliminaries....Pages 11-29
Uncertain Sampled-data Systems....Pages 30-39
Analysis of LTI Uncertainty....Pages 40-64
A Computational Framework....Pages 65-98
Robust Performance....Pages 99-142
Back Matter....Pages 143-177
β¦ Subjects
Mathematics, general
π SIMILAR VOLUMES
<p>Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ΒΏ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control syst
Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ¿ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control sy
Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H ΒΏ optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems
<p>The first German edition of this book appeared in 1972, and in Polish translation in 1976. It covered the analysis and synthesis of sampled-data systems. The second German edition of 1983 exΒ tended the scope to design, in particular design for robustness of control system properties with respect