Adaptive Control of Systems with Actuator Failures

This book shows readers new ways to compensate for disturbances in control systems prolonging the intervals between time-consuming and/or expensive fault diagnosis procedures, keeping them up to date in the increasingly important field of adaptive control.

This book will sell because it outlines a method by which the failure of control systems can be circumvented. The reader will be interested either because it can extend the period of plant operation between costly overhauls or because the effect of a sudden uncompensated failure in control would be dangerous (in an airborne aircraft for example) where the techniques exemplified in this book will keep the control systems effective long enough to be able to wind them down safely (in time to land the aircraft for example).

Autorentext

Gang Tao received his B.S. degree in Electrical Engineering from the University of Science and Technology of China in 1982, his M.S. degrees in Electrical Engineering, Computer Engineering and Applied Mathematics in 1984, 1987, 1989, respectively, and Ph.D. degree in Electrical Engineering in 1989 all from the University of Southern California. He was a visiting assistant professor at Washington State University from 1989 to 1991, an assistant research engineer at the University of California at Santa Barbara from 1991 to 1992, and an assistant professor at the University of Virginia from 1992 to 1998, where he is now an associate professor. He was a guest editor for International Journal of Adaptive Control and Signal Processing, and is currently an associate editor for IEEE Transactions on Automatic Control andfor the discipline's most important journal Automatica. He has been a program committee member for numerous international conferences, among them, American Control Conference and the Conference on Decision and Control in 2001 and 2002.. He has published five books, over 45 journal papers and book chapters, and over 95 conference papers on adaptive cotnrol, nonlinear control, multivariable control, optimal control, and control applications and robotics. He is a Senior Member of IEEE. His research has been supported by NSF, ARMY, NASA, MedQuest, SCEEE and Edison Power.

Inhalt

1. Introduction.- 2. State Feedback Designs for State Tracking.- 3. State Feedback Designs for Output Tracking.- 4. Output Feedback Designs for Output Tracking.- 5. Designs for Multivariable Systems.- 6. Pole Placement Designs.- 7. Designs for Linearized Aircraft Models.- 8. Robust Designs for Discrete-Time Systems.- 9. Failure Compensation for Nonlinear Systems.- 10. State Feedback Designs for Nonlinear Systems.- 11. Nonlinear Output Feedback Designs.- 12. Conclusions and Research Topics.- A.1 Model Reference Adaptive Control.- A.1.1 MRAC: State Feedback for State Tracking.- A.1.2 MRAC: State Feedback for Output Tracking.- A.1.3 MRAC: Output Feedback for Output Tracking.- A.2 Multivariable MRAC.- A.3 Adaptive Pole Placement Control.- References.