Nonlinear and adaptive control systems / Zhengtao Ding.

Format:

Book

Author/Creator:

Ding, Zhengtao.

Series:

Control engineering series Nonlinear and adaptive control systems

Language:

English

Subjects (All):

Nonlinear control theory.

Adaptive control systems.

Physical Description:

1 online resource (288 p.)

Place of Publication:

London : Institution of Engineering and Technology, 2013.

Language Note:

English

Summary:

Nonlinear and Adaptive Control Systems treats nonlinear control and adaptive control in a unified framework, presenting the major results at a moderate mathematical level, suitable to MSc students and engineers with undergraduate degrees.

Contents:

Contents; Preface; 1. Introduction to nonlinear and adaptive systems; 1.1 Nonlinear functions and nonlinearities; 1.2 Common nonlinear systems behaviours; 1.3 Stability and control of nonlinear systems; 2. State space models; 2.1 Nonlinear systems and linearisation around an operating point; 2.2 Autonomous systems; 2.3 Second-order nonlinear system behaviours; 2.4 Limit cycles and strange attractors; 3. Describing functions; 3.1 Fundamentals; 3.2 Describing functions for common nonlinear components; 3.3 Describing function analysis of nonlinear systems; 4. Stability theory

4.1 Basic definitions4.2 Linearisation and local stability; 4.3 Lyapunov's direct method; 4.4 Lyapunov analysis of linear time-invariant systems; 5. Advanced stability theory; 5.1 Positive real systems; 5.2 Absolute stability and circle criterion; 5.3 Input-to-state stability and small gain theorem; 5.4 Differential stability; 6. Feedback linearisation; 6.1 Input-output linearisation; 6.2 Full-state feedback linearisation; 7. Adaptive control of linear systems; 7.1 MRAC of first-order systems; 7.2 Model reference control; 7.3 MRAC of linear systems with relative degree 1

7.4 MRAC of linear systems with high relatives7.5 Robust adaptive control; 8. Nonlinear observer design; 8.1 Observer design for linear systems; 8.2 Linear observer error dynamics with output injection; 8.3 Linear observer error dynamics via direct state transformation; 8.4 Observer design for Lipschitz nonlinear systems; 8.5 Reduced-order observer design; 8.6 Adaptive observer design; 9. Backstepping design; 9.1 Integrator backstepping; 9.2 Iterative backstepping; 9.3 Observer backstepping; 9.4 Backstepping with filtered transformation; 9.5 Adaptive backstepping

9.6 Adaptive observer backstepping10. Disturbance rejection and output regulation; 10.1 Asymptotic rejection of sinusoidal disturbances; 10.2 Adaptive output regulation; 10.3 Output regulation with nonlinear exosystems; 10.4 Asymptotic rejection of general periodic disturbances; 11. Control applications; 11.1 Harmonics estimation and rejection in power distribution systems; 11.1.1 System model; 11.1.2 Iterative observer design for estimating frequencymodes in input; 11.1.3 Estimation of specific frequency modes in input; 11.1.4 Rejection of frequency modes; 11.1.5 Example

11.2 Observer and control design for circadian rhythms11.2.1 Circadian model; 11.2.2 Lipschitz observer design; 11.2.3 Phase control of circadian rhythms; 11.3 Sampled-data control of nonlinear systems; 11.3.1 System model and sampled-data control; 11.3.2 Stability analysis of sampled-data systems; 11.3.3 Simulation; Bibliographical Notes; References; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

1-84919-575-7

OCLC:

851158401