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Quasilinear Control Theory

by Shinung Ching , Yongsoon Eun , Cevat Gökçek
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Current price ₹16,210.00
Original price ₹16,464.00
Original price ₹16,464.00
Original price ₹16,464.00
(-2%)
₹16,210.00
Current price ₹16,210.00

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Book cover type: Hardcover
  • ISBN13: 9781107000568
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Cambridge University Press
  • Publisher Imprint: Cambridge University Press
  • Publication Date:
  • Pages: 300
  • Original Price: USD 168.0
  • Language: English
  • Edition: N/A
  • Item Weight: 676 grams
  • BISAC Subject(s): Robotics

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.

Ching, Shinung: - "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."

Eun, Yongsoon: - Yongsoon Eun received his BA degree in Mathematics, BS and MSE degrees in Control and Instrumentation Engineering, all from Seoul National University, Seoul, Korea, in 1992, 1994 and 1997, respectively, and his Ph.D. degree in Electrical Engineering and Computer Science from the University of Michigan in 2003. Since 2003 he has been with Xerox Innovation Group in Webster, New York, where he is currently a Senior Research Scientist. Dr Eun has worked on a number of subsystem technologies in the xerographic marking process, and recent activities focus on the image registration of inkjet marking technology. To date, he has published more than 30 journal and refereed conference papers and holds 4 US patents. His current research interests are control systems with nonlinear sensors and actuators, cyclic systems, and the impact of multitasking individuals on organizational productivity.

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