Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems (Studies in Systems, Decision and Control, 167)

Wang, Ding; Mu, Chaoxu

ISBN 10: 9811312524 / ISBN 13: 9789811312526

Edité par Springer, 2018

A propos de cet article

Very Good+ hardback in printed boards, we ship in boxes, not bags, LOC1.

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Détails bibliographiques

• Titre: Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems (Studies in Systems, Decision and Control, 167)
• Éditeur: Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 9811312524
• ISBN à 13 chiffres: 9789811312526
• Reliure: Hardcover
• Édition: 1st Edition
• État de l'article: Very Good
• Catalogues du vendeur:
  • Engineering

A propos de ce titre

Synopsis

A Survey of Robust Adaptive Critic Control Design.- Robust Optimal Control of Nonlinear Systems with Matched Uncertainties.- Observer-Based Online Adaptive Regulation for a Class of Uncertain Nonlinear Systems.- Adaptive Tracking Control of Nonlinear Systems Subject to Matched Uncertainties.- Event-Triggered Robust Stabilization Incorporating an Adaptive Critic Mechanism.- An Improved Adaptive Optimal Regulation Framework with Robust Control Synthesis.- Robust Stabilization and Trajectory Tracking of General Uncertain Nonlinear Systems.- Event-Triggered Nonlinear H∞ Control Design via an Improved Critic Learning Strategy.- Intelligent Critic Control with Disturbance Attenuation for a Micro-Grid System.- Sliding Mode Design for Load Frequency Control with Power System Applications.

À propos de l?auteur

Dr. Ding Wang is an associate professor in The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His main research interests cover adaptive and learning control systems, complex systems and intelligent control, neural networks and neural computing.

Dr. Chaoxu Mu is an associate professor in school of electrical and information engineering, Tianjin University. Her research interests focus mainly on non-linear control theory and applications, adaptive dynamic programming and robust control.