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Stability and Stabilization of Nonlinear Systems de Dirk Aeyels

Stability and Stabilization of Nonlinear Systems: Lecture Notes in Control and Information Sciences, cartea 246

Editat de Dirk Aeyels, Francoise Lamnabhi-Lagarrigue, Arjan van der Schaft
en Limba Engleză Paperback – 18 aug 1999
This volume presents research directions, including: stability analysis of nonlinear dynamical systems and converse Lyapunov theorems; stabilization and regulation of nonlinear dynamical control systems; and control of physical systems using physics-based Lyapunov functions and passivity.
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Specificații

ISBN-13: 9781852336387
ISBN-10: 1852336382
Pagini: 408
Ilustrații: XI, 392 p. 9 illus.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.57 kg
Ediția:1999
Editura: SPRINGER LONDON
Colecția Springer
Seria Lecture Notes in Control and Information Sciences

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

Disturbance attenuation for discrete-time feedforward nonlinear systems.- Further results on decoupling with stability for Hamiltonian systems.- Issues in modelling and control of mass balance systems.- Control of dynamic bifurcations.- Extension of Popov criterion to time-varying nonlinearities: LMI, frequential and graphical conditions.- Uniqueness of control sets for perturbations of linear systems.- Design of control Lyapunov functions for “Jurdjevic-Quinn” systems.- Bifurcation analysis of a power factor precompensator.- Stabilization by sampled and discrete feedback with positive sampling rate.- Linear controllers for tracking chained-form systems.- Asymptotic methods in stability analysis and control.- Robust point-stabilization of nonlinear affine control systems.- Stabilization of port-controlled Hamiltonian systems via energy balancing.- Invariant tracking and stabilization: problem formulation and examples.- Control of mechanical structures by piezoelectric actuators and sensors.- A novel impedance grasping strategy as a generalized hamiltonian system.- A nonsmooth hybrid maximum principle.- A converse Lyapunov theorem for robust exponential stochastic stability.- LMIs for robust stable neural model-based control.

Caracteristici

The first of 5 volumes to be published from the first Nonlinear Control Network Workshop Contributions come from internationally renowned experts in this field A unique collection of papers providing a comprehensive overview and introduction to this exciting area of research