Quasilinear Control: Performance Analysis and Design of Feedback Systems with Nonlinear Sensors and Actuators - Hardcover

Ching, ShiNung; Eun, Yongsoon; Gokcek, Cevat; Kabamba, Pierre T.; Meerkov, Semyon M.

Hardcover

ISBN 10: 1107000564 ISBN 13: 9781107000568

Publisher: Cambridge University Press, 2010

Synopsis

This is a textbook and reference for readers interested in quasilinear control (QLC). QLC is a set of methods for performance analysis and design of linear plant or nonlinear instrumentation (LPNI) systems. The approach of QLC is based on the method of stochastic linearization, which reduces the nonlinearities of actuators and sensors to quasilinear gains. Unlike the usual - Jacobian linearization - stochastic linearization is global. Using this approximation, QLC extends most of the linear control theory techniques to LPNI systems. A bisection algorithm for solving these equations is provided. In addition, QLC includes new problems, specific for the LPNI scenario. Examples include Instrumented LQR/LQG, in which the controller is designed simultaneously with the actuator and sensor, and partial and complete performance recovery, in which the degradation of linear performance is either contained by selecting the right instrumentation or completely eliminated by the controller boosting.

About this title

Book Description

This is a textbook and reference for readers interested in quasilinear control (QLC). QLC is a set of methods for performance analysis and design of linear plant or nonlinear instrumentation (LPNI) systems. The QLC approach is based on the method of stochastic linearization, which reduces the nonlinearities of actuators and sensors to quasilinear gains.

About the Author

ShiNung Ching is a Postdoctoral Fellow at the Neurosciences Statistics Research Laboratory at MIT, where he has been since completing his Ph.D. in Electrical Engineering at the University of Michigan. His research involves a systems theoretic approach to anesthesia and neuroscience, looking to use mathematical techniques and engineering approaches - such as dynamical systems, modeling, signal processing and control theory - to offer new insights into the mechanisms of the brain. By combining physiology with technical tools, this 'systems neuroscience' approach to neurodynamics promises to suggest novel medical and pharmacological strategies and technologies.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2010
• ISBN 10: 1107000564
• ISBN 13: 9781107000568
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 300