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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.
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.
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