Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

Discover the innovative insights of Changsheng Hua in his groundbreaking book, Reinforcement Learning Aided Performance Optimization of Feedback Control Systems. Published by Springer Fachmedien Wiesbaden in 2021, this first edition spans 127 pages and delves into advanced methodologies for enhancing feedback control systems.

In this essential read, Hua introduces two powerful approaches: an input/output recovery method and a performance index-based strategy. These techniques are designed to optimize robustness and performance, making this book a vital resource for professionals and researchers in the fields of control systems and reinforcement learning.

Whether you're a seasoned expert or a newcomer to the subject, Reinforcement Learning Aided Performance Optimization of Feedback Control Systems provides valuable knowledge to elevate your understanding and application of cutting-edge control system technologies. Don't miss out on this essential addition to your library!