Adaptive Control of Systems with Actuator and Sensor Nonlinearities

1. Auflage 1996
ISBN: 978-0-471-15654-3
Verlag: Wiley

Buch, Englisch, 312 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 636 g

An in-depth examination of intelligent approaches to increasing the accuracy of a variety of system components. Utilizing a unified, adaptive, inverse approach, the book offers electrical, mechanical, chemical, aeronautical and computer engineers methods for controlling many of the "hard" nonlinearities of frequently-employed control systems such as dead-zone, backlash and hysteresis. Discusses such nonlinearities at both the input and output points of a linear part and within both continuous time designs and discrete time designs.

Autoren/Hrsg.

Tao, Gang

Kokotovic, Petar V

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik
• Technische Wissenschaften Technik Allgemein Technische Zuverlässigkeit, Sicherheitstechnik

Inhaltsverzeichnis

Dead-Zone, Backlash, and Hysteresis.

Inverse Models.

Fixed Inverse Compensation.

Adaptive Inverse Examples.

Continuous-Time Adaptive Inverse Control.

Discrete-Time Adaptive Inverse Control.

Fixed Inverse Control for Output Nonlinearities.

Adaptive Inverse Control for Output Nonlinearities.

Adaptive Control of Partially Known Systems.

Adaptive Control with Input and Output Nonlinearities.

Appendices.

Bibliography.

Index.

Über Autor(innen)

GANG TAO received his PhD in electrical engineering from the University of Southern California in 1989. He is currently an assistant professor in the Department of Electrical Engineering at the University of Virginia. PETAR V. Kokotovi has been Director of the Center for Control Engineering and Computation at the University of California, Santa Barbara, since 1991. Previously, he was with the University of Illinois, where he held the Grainger Chair. He is a member of the National Academy of Engineering. His recognition as a leading authority in control theory theory includes the triennial Quazza Medal by IFAC in 1990 and the 1995 IEEE Control Systems Award.