Dr. Frank Lewis has published the third book of a series where, he and his students explore deep research issues in Reinforcement Learning, which brings together EE feedback control and Computer Science ideas in AI and elsewhere. They explore these control ideas in Multiplayer Games, where multiple opponents each try to win the game and pay the minimum penalty for doing so. Applications are explored in Industrial Process Control, Multi-robotic Systems, and Formation Control of multiple Unmanned Aerial Vehicles. These books elaborate on Dr. Lewis research, and include new ideas in nonlinear feedback control systems, reinforcement learning for optimal control performance, optimal synchronization of multiagent networked systems, neuro-psychology for feedback control, robot decision and control, machine learning in automatic feedback systems. Applications are to Intelligent Driverless cars, Robotic Systems, small autonomous Rotorcraft vehicles, Aircraft control systems, and Industrial process control.
