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.
|Publisher:||Springer New York|
|Edition description:||Softcover reprint of the original 1st ed. 2014|
|Product dimensions:||6.10(w) x 9.25(h) x 0.02(d)|
About the Author
Table of ContentsIntroduction 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.