Control of Complex Systems. Theory and Applications

✍ Scribed by Kyriakos Vamvoudakis, Sarangapani Jagannathan

• Publisher: Butterworth-Heinemann
• Year: 2016
• Tongue: English
• Leaves: 736
• Edition: 1
• Category: Library

✦ Synopsis

In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: “Introduction and Background on Control Theory”, “Adaptive Control and Neuroscience”, “Adaptive Learning Algorithms”, “Cyber-Physical Systems and Cooperative Control”, “Applications”. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists.

This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems.

• Collection of chapters from several well-known professors and researchers that will showcase their recent work

• Presents different state-of-the-art control approaches and theory for complex systems

• Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams

• Real system examples and figures throughout, make ideas concrete

• Includes chapters from several well-known professors and researchers that showcases their recent work
• Presents different state-of-the-art control approaches and theory for complex systems
• Explores the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals, and malicious attacks compromising the security of networked teams
• Serves as a helpful reference for researchers and control engineers working with machine learning, adaptive control, and automatic control systems

✦ Table of Contents

Content:
Front Matter,Dedication,Copyright,Contributors,About the Editors,PrefaceEntitled to full textSection 1: Introduction and PrefaceChapter One - Introduction to Complex Systems and Feedback Control, Pages 3-30, K.G. Vamvoudakis, S. Jagannathan
Chapter Two - Hierarchical Adaptive Control of Rapidly Time-Varying Systems Using Multiple Models, Pages 33-66, K.S. Narendra
Chapter Three - Adaptive Stabilization of Uncertain Systems With Model-Based Control and Event-Triggered Feedback Updates, Pages 67-92, E. Garcia, P.J. Antsaklis
Chapter Four - A Neural Field Theory for Loss of Consciousness: Synaptic Drive Dynamics, System Stability, Attractors, Partial Synchronization, and Hopf Bifurcations Characterizing the Anesthetic Cascade, Pages 93-162, W.M. Haddad, S.P. Hou, J.M. Bailey, N. Meskin
Chapter Five - Optimal Tracking Control of Uncertain Systems: On-Policy and Off-Policy Reinforcement Learning Approaches, Pages 165-186, B. Kiumarsi, H. Modares, F.L. Lewis
Chapter Six - Addressing Adaptation and Learning in the Context of Model Predictive Control With Moving-Horizon Estimation, Pages 187-209, D.A. Copp, J.P. Hespanha
Chapter Seven - Stochastic Adaptive Dynamic Programming for Robust Optimal Control Design, Pages 211-245, T. Bian, Z.-P. Jiang
Chapter Eight - Model-Based Reinforcement Learning for Approximate Optimal Regulation, Pages 247-273, R. Kamalapurkar, P. Walters, W.E. Dixon
Chapter Nine - Continuous-Time Distributed Adaptive Dynamic Programming for Heterogeneous Multiagent Optimal Synchronization Control, Pages 275-304, Q. Wei, R. Song, D. Liu, B. Luo
Chapter Ten - Model-Free Learning of Nash Games With Applications to Network Security, Pages 305-334, K.G. Vamvoudakis
Chapter Eleven - Adaptive Optimal Regulation of a Class of Uncertain Nonlinear Systems Using Event Sampled Neural Network Approximators, Pages 337-372, A. Sahoo, S. Jagannathan
Chapter Twelve - Decentralized Cooperative Control in Degraded Communication Environments, Pages 373-395, D. Tolić, I. Palunko, A. Ivanović, M. Car, S. Bogdan
Chapter Thirteen - Multiagent Layered Formation Control Based on Rigid Graph Theory, Pages 397-419, S. Ramazani, R.R. Selmic, M.de Queiroz
Chapter Fourteen - Certainty Equivalence, Separation Principle, and Cooperative Output Regulation of Multiagent Systems by the Distributed Observer Approach, Pages 421-449, J. Huang
Chapter Fifteen - Cooperative Learning for Robust Connectivity in Multirobot Heterogeneous Networks, Pages 451-473, P.J. Cruz, R. Fierro, C.T. Abdallah
Chapter Sixteen - Discrete-Time Flocking of Wheeled Vehicles With a Large Communication Delay Through a Potential Function Approacha, Pages 475-498, H. Hu, S.Y. Yoon, Z. Lin
Chapter Seventeen - Cooperative Control and Networked Operation of Passivity-Short Systems, Pages 499-518, R. Harvey, Z. Qu
Chapter Eighteen - Synchronizing Region Approach for Identical Linear Time-Invariant Agentsa, Pages 519-548, K.H. Movric, M. Sebek
Chapter Nineteen - The Stereographic Product of Positive-Real Functions is Positive Reala, Pages 551-558, R.W. Newcomb
Chapter Twenty - Collective Target Tracking Mean Field Control for Markovian Jump-Driven Models of Electric Water Heating Loads, Pages 559-584, A.C. Kizilkale, R.P. Malhamé
Chapter Twenty-One - Trajectory Planning Based on Collocation Methods for Adaptive Motion Control of Multiple Aerial and Ground Autonomous Vehicles, Pages 585-634, S. Vera, F. Petric, G. Heredia, A. Ollero, Z. Kovacic
Chapter Twenty-Two - Intelligent Control of a Prosthetic Ankle Joint Using Gait Recognition, Pages 635-660, A. Mai, S. Commuri
Chapter Twenty-Three - Novel Robust Adaptive Algorithms for Estimation and Control: Theory and Practical Examples, Pages 661-709, G. Herrmann, J. Na, M.Nasiruddin Mahyuddin
Author Index, Pages 711-724
Subject Index, Pages 725-738