Linear Control Theory

Informationen zum Autor Frederick Walker Fairman is the author of Linear Control Theory: The State Space Approach, published by Wiley. Klappentext Incorporating recent developments in control and systems research, Linear Control Theory provides the fundamental theoretical background needed to fully exploit control system design software. This logically-structured text opens with a detailed treatment of the relevant aspects of the state space analysis of linear systems. End-of-chapter problems facilitate the learning process by encouraging the student to put his or her skills into practice. Features include: The use of an easy to understand matrix variational technique to develop the time-invariant quadratic and LQG controllers A step-by-step introduction to essential mathematical ideas as they are needed, motivating the reader to venture beyond basic concepts The examination of linear system theory as it relates to control theory The use of the PBH test to characterize eigenvalues in the state feedback and observer problems rather than its usual role as a test for controllability or observability The development of model reduction via balanced realization The employment of the L2 gain as a basis for the development of the H controller for the design of controllers in the presence of plant model uncertainty Senior undergraduate and postgraduate control engineering students and practicing control engineers will appreciate the insight this self-contained book offers into the intelligent use of today's control system software tools. Zusammenfassung This book will present the basic theory to use control system design software! giving a comprehensive treatment of the time domain or state analysis of linear systems. Uniquely this book will focus on both theory and applications and! in order to facilitate learning! basic mathematical ideas (mostly linear algebra) will be introduced. Inhaltsverzeichnis Introduction to State Space. State Feedback and Controllability. State Estimation and Observability. Model Approximation via Balanced Realization. Quadratic Control. LQG Control. Signal and System Spaces. System Algebra. Hx State Feedback and Estimation. Hx Output Feedback Control. Appendices. References. Index. ...

Klappentext
Incorporating recent developments in control and systems research, Linear Control Theory provides the fundamental theoretical background needed to fully exploit control system design software. This logically-structured text opens with a detailed treatment of the relevant aspects of the state space analysis of linear systems. End-of-chapter problems facilitate the learning process by encouraging the student to put his or her skills into practice. Features include: The use of an easy to understand matrix variational technique to develop the time-invariant quadratic and LQG controllers A step-by-step introduction to essential mathematical ideas as they are needed, motivating the reader to venture beyond basic concepts The examination of linear system theory as it relates to control theory The use of the PBH test to characterize eigenvalues in the state feedback and observer problems rather than its usual role as a test for controllability or observability The development of model reduction via balanced realization The employment of the L2 gain as a basis for the development of the H controller for the design of controllers in the presence of plant model uncertainty Senior undergraduate and postgraduate control engineering students and practicing control engineers will appreciate the insight this self-contained book offers into the intelligent use of today's control system software tools.

Zusammenfassung
This book will present the basic theory to use control system design software, giving a comprehensive treatment of the time domain or state analysis of linear systems. Uniquely this book will focus on both theory and applications and, in order to facilitate learning, basic mathematical ideas (mostly linear algebra) will be introduced.

Inhalt
Introduction to State Space. State Feedback and Controllability. State Estimation and Observability. Model Approximation via Balanced Realization. Quadratic Control. LQG Control. Signal and System Spaces. System Algebra. Hx State Feedback and Estimation. Hx Output Feedback Control. Appendices. References. Index.

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