Linear Systems Theory: A Structural Decomposition Approach (Control Engineering) - Softcover

Über die Autorin bzw. den Autor

Xiaolian Zheng is a PhD candidate finishing her PhD program in the Department of Electrical and Computer Engineering, National University of Singapore. Her research interest is in financial market modeling. Professor Ben M. Chen received his B.S. degree in mathematics and computer science from Xiamen University, Xiamen, China, in 1983, M.S. degree in electrical engineering from Gonzaga University, Spokane, Washington, USA, in 1988, and Ph.D. degree in electrical and computer engineering from Washington State University, Pullman, Washington, USA, in 1991. He was a software engineer in South-China Computer Corporation, Guangzhou, China, from 1983 to 1986, and was an assistant professor from 1992 to 1993 in the Department of Electrical Engineering, State University of New York at Stony Brook, USA. Since August 1993, he has been with the Department of Electrical and Computer Engineering, National University of Singapore, where he is currently a professor. His current research interests are in robust control, systems theory, unmanned aerial systems, and financial market modeling. He is the author/co-author of 8 research monographs including Loop Transfer Recovery: Analysis and Design (Springer, 1993); H2 Optimal Control (Prentice Hall, 1995); Robust and H¿ Control (Springer, 2000, Chinese edition is to be published by Science Press, Beijing, 2010); Linear Systems Theory: A Structural Decomposition Approach (Birkhauser, 2004; Chinese translation published by Tsinghua University Press, 2008); Hard Disk Drive Servo Systems (Springer, 1st Edn., 2002; 2nd Edn., 2006); and Unmanned Rotorcraft Systems (Springer, 2010). He served/serves on the editorial boards for a number of international journals including IEEE Transactions on Automatic Control, Automatica, Systems and Control Letters, and Journal of Control Theory and Applications. Dr Chen is a Fellow of IEEE. He was the recipient of Best Poster Paper Award, 2nd Asian Control Conference, Seoul, Korea(1997); University Researcher Award, National University of Singapore (2000); Prestigious Engineering Achievement Award, Institution of Engineers, Singapore (2001); Temasek Young Investigator Award, Defence Science & Technology Agency, Singapore (2003); Best Industrial Control Application Prize, 5th Asian Control Conference, Melbourne, Australia (2004); and Best Application Paper Award, 7th Asian Control Conference, Hong Kong (2009).

Von der hinteren Coverseite

This text is the first comprehensive treatment of structural decompositions of various types of linear systems, including autonomous, unforced or unsensed, strictly proper, non-strictly proper, and descriptor or singular systems. Structural properties play an important role in the understanding of linear systems and also provide insight to facilitate the solution of control problems related to stabilization, disturbance decoupling, robust and optimal control. Applications can be extended to industrial process control, aircraft and ship control, process automation control, and many other types of engineering systems.

The authors employ a unique structural decomposition approach to break down an overall system into various subsystems, each with distinct features. The simplicity of these subsystems and their interconnections lead to deep insight about the design of feedback control systems for desired closed-loop performance, stability, and robustness. All results and case studies are presented in both continuous- and discrete-time settings. Exercises, as well as MATLAB-based computational and design algorithms utilizing the Linear Systems Toolkit, are included to reinforce and demonstrate the concepts treated throughout the book.

Topics covered include:

* Basic Concepts of Linear Systems Theory

* Decomposition of Unforced and/or Unsensed Systems, Proper Systems and their Properties

* Decomposition of Descriptor Systems and their Properties

* Cascade and Inner-Outer Factorizations

* Structural Assignment through Sensor/Actuator Selections

* State Feedback Control with Time-Scale and Eigenstructure Assignment

* Disturbance Decoupling with Static Output Feedback

Linear Systems Theory may be used as a textbook for advanced undergraduate and graduate students in aeronautics and astronautics, applied mathematics, chemical, electrical and mechanical engineering. It may also serve as a valuable self-study reference for researchers and engineering practitioners in areas related to systems and control theory.