Robust Control of Uncertain Dynamic Systems A Linear State Space Approach /

This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being mode...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Yedavalli, Rama K. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Yedavalli, Rama K.  |e author. 
245 1 0 |a Robust Control of Uncertain Dynamic Systems  |h [electronic resource] :  |b A Linear State Space Approach /  |c by Rama K. Yedavalli. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a XV, 204 p. 8 illus., 1 illus. in color.  |b online resource. 
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337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Introduction and Perspective -- Robust Stability Analysis of Linear State Space Systems -- Performance Robustness Analysis via Root Clustering (Robust D-Stability) -- Robust Control Design for Linear Uncertain State Space Systems -- Applications to Engineering Systems -- Related and Emerging Topics -- A Appendix. 
520 |a This textbook aims to provide a clear understanding of the various tools of analysis and design for robust stability and performance of uncertain dynamic systems. In model-based control design and analysis, mathematical models can never completely represent the “real world” system that is being modeled, and thus it is imperative to incorporate and accommodate a level of uncertainty into the models. This book directly addresses these issues from a deterministic uncertainty viewpoint and focuses on the interval parameter characterization of uncertain systems. Various tools of analysis and design are presented in a consolidated manner. This volume fills a current gap in published works by explicitly addressing the subject of control of dynamic systems from linear state space framework, namely using a time-domain, matrix-theory based approach. This book also: Presents and formulates the robustness problem in a linear state space model framework Illustrates various systems level methodologies with examples and applications drawn from aerospace, electrical and mechanical engineering Provides connections between lyapunov-based matrix approach and the transfer function based polynomial approaches Robust Control of Uncertain Dynamic Systems: A Linear State Space Approach is an ideal book for first year graduate students taking a course in robust control in aerospace, mechanical, or electrical engineering. 
650 0 |a Engineering. 
650 0 |a System theory. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Mechatronics. 
650 1 4 |a Engineering. 
650 2 4 |a Control. 
650 2 4 |a Control, Robotics, Mechatronics. 
650 2 4 |a Systems Theory, Control. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461491316 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4614-9132-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)