Control of Complex Systems

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 Security

11. 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 Agents Applications19. 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