Description
Robust Control of Uncertain Dynamic Systems, Softcover reprint of the original 1st ed. 2014
A Linear State Space Approach
Author: Yedavalli Rama K.
Language: EnglishApproximative price 52.74 €
In Print (Delivery period: 15 days).
Add to cart the print on demand of Yedavalli Rama K.Publication date: 08-2016
Support: Print on demand
Approximative price 52.74 €
In Print (Delivery period: 15 days).
Add to cart the book of Yedavalli Rama K.Publication date: 12-2013
204 p. · 15.5x23.5 cm · Hardback
Description
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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.
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
Includes supplementary material: sn.pub/extras