Butterworth-Heinemann Learning-Based Adaptive Control: An Extremum Seeking Approach - Theory and Applications

Learning-based Adaptive Control: An Extremum Seeking Approach - Theory and Applications presents comprehensive information on Adaptive Control for optimal action based on the current characteristics of a system, also presenting tactics on how to learn how characteristics change along the way. The book takes two main approaches to the learning process: Model Based and Model Free. In the first case, precision modeling of the characteristics of a system and stability are key. For Model Free Adaptive Control, you begin knowing nothing about the system and learn from action (inputs) and reaction (outputs). This book offers a blended approach to Adaptive Control through physical modeling that allows the characteristics to evolve naturally over time to maintain the stability of the system. In the cases presented by the author, there is remarkable gain in performance and adaptability of the systems by applying his findings.