Control of Complex Systems

Kyriakos G. Vamvoudakis is the Dutton-Ducoffe Endowed Professor at The Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He holds a secondary appointment in the School of Electrical and Computer Engineering. His expertise is in reinforcement learning, control theory, game theory, cyber-physical security, bounded rationality, and safe/assured autonomy.He has served on various international program committees and has organized several international conferences. He currently is a member of the Technical Committee on Intelligent Control of the IEEE Control Systems Society, a member of the Technical Committee on Adaptive Dynamic Programming and Reinforcement Learning of the IEEE Computational Intelligence Society, a member of the IEEE Control Systems Society Conference Editorial Board, an Associate Editor of: Automatica; IEEE Transactions on Automatic Control; IEEE Transactions on Neural Networks and Learning Systems; IEEE Computational Intelligence Magazine; IEEE Transactions on Systems, Man, and Cybernetics: Systems; IEEE Transactions on Artificial Intelligence; Neurocomputing; Journal of Optimization Theory and Applications; and of Frontiers in Control Engineering-Adaptive, Robust and Fault Tolerant Control. He had also served as a Guest Editor for, IEEE Transactions on Automation Science and Engineering (Special issue on Learning from Imperfect Data for Industrial Automation); IEEE Transactions on Neural Networks and Learning Systems (Special issue on Reinforcement Learning Based Control: Data-Efficient and Resilient Methods); IEEE Transactions on Industrial Informatics (Special issue on Industrial Artificial Intelligence for Smart Manufacturing); and IEEE Transactions on Intelligent Transportation Systems (Special issue on Unmanned Aircraft System Traffic Management). He is also a registered Electrical/Computer engineer (PE), a member of the Technical Chamber of Greece, an Associate Fellow of AIAA, and a Senior Member of IEEE.Dr. Jagannathan Sarangapani (referred here as S. Jagannathan) is at the Missouri University of Science and Technology (former University of Missouri-Rolla) where he is a Rutledge-Emerson Endowed Chair Professor of Electrical and Computer Engineering and Site Director for the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems. His research interests include neural network control, adaptive event-triggered control, secure networked control systems, prognostics, and autonomous systems/robotics.

• 1. Introduction and Background on Control Theory    2. Hierarchical Adaptive Control of Rapidly Time-Varying Systems   3. Adaptive stabilization of uncertain systems with model-based control and event-triggered feedback updates   4. A Neural Field Theory for Loss of Consciousness: Synaptic Drive Dynamics, System Stability, Attractors, Partial Synchronization, and Hopf Bifurcations Characterizing the Anesthetic Cascade 5. Optimal Tracking Control of Uncertain Systems: On-policy and Off-policy Reinforcement Learning Approaches6. Addressing adaptation and learning in the context of MPC and MHE7. Stochastic Adaptive Dynamic Programming for Robust Optimal Control Design   8. Model-based reinforcement learning for approximate optimal regulation 9. Continuous-Time Distributed Adaptive Dynamic Programming for Heterogeneous Multi-Agent Optimal Synchronization Control  10. Model-Free Learning of Games with Applications to Network Security11. Adaptive Optimal Regulation of a Class of Uncertain Nonlinear Systems using Event Sampled Neural Network Approximators   12. Decentralized Cooperative Control in Degraded Communication Environments  13. Multi-Agent Layered Formation Control Based on Rigid Graph Theory   14. Certainty Equivalence, Separation Principle, and Cooperative Output Regulation of Multi-Agent Systems by Distributed Observer Approach   15. Cooperative Learning for Robust Connectivity in Multi-robot Heterogeneous Networks    16. Flocking of Discrete-time Wheeled Vehicles with a Large Communication Delay Through a Potential Functional Approach 17. Cooperative Control and Networked Operation of Passivity-Short Systems   18. Synchronizing Region Approach for Identical Linear Time-invariant AgentsApplications19. The Stereographic Product of Positive-Real Functions is Positive-Real   20. Control of Aggregate Electric Water Heating Loads via Mean Field Games Based Methods    21. Trajectory Planning Based on Collocation Methods for Adaptive Motion Control of Multiple Aerial and Ground Autonomous Vehicles    22. Intelligent control of a prosthetic ankle using gait recognition    23. Novel robust adaptive algorithms for estimation and control - Theory and Practical Examples   24. Conclusions