Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

3 primary works

Nonlinear and Adaptive Control Design

by Miroslav Krstic, Ioannis Kanellakopoulos, and Petar V. Kokotovic

Published 18 July 1995

Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.

Adaptive Control of Systems with Actuator and Sensor Nonlinearities

by Gang Tao and Petar V. Kokotovic

Published 7 June 1996

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.

Adaptive Control Design and Analysis

by Gang Tao

Published 25 July 2003

A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time

Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory.

Adaptive Control Design and Analysis features:

• Introduction to systems and control
• Stability, operator norms, and signal convergence
• Adaptive parameter estimation
• State feedback adaptive control designs
• Parametrization of state observers for adaptive control
• Unified continuous and discrete-time adaptive control
• L1+a robustness theory for adaptive systems
• Direct and indirect adaptive control designs
• Benchmark comparison study of adaptive control designs
• Multivariate adaptive control
• Nonlinear adaptive control
• Adaptive compensation of actuator nonlinearities
• End-of-chapter discussion, problems, and advanced topics

As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.