Fundamentals and Aerospace Applications of Prescribed Performance Control
Description
This book systematically presents the state of the art in prescribed performance control theory in terms of incomplete state information, actuator saturation and faults, constrained communication bandwidth and task time window, as well as collision avoidance, and more. It provides a thorough presentation of fundamental structure, controller design, and analysis, as well as simulation studies of aerospace applications. The book aims to offer a valuable guide for researchers and aerospace engineers to address the theoretical and technical difficulties in different aerospace craft applications, ranging from spacecraft attitude and orbital control to space robotic operations. Meanwhile, it can also work as a professional reference book for senior undergraduate students and postgraduate students in fields such as automation and aerospace engineering.
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Persons
Prof. Wei has long been dedicated to the research on spacecraft dynamics and Guidance, Navigation & Control (GN&C) systems. He is a productive researcher and has published 70+ SCI journal papers including in IEEE Transactions and in AIAA Journals with 1200+ Google citations of his papers (H-index 21). Prof. Wei was ranked as Young Elite Scientists Sponsorship Program by CAST in 2021 and the World's Top 2% most-cited scientists by Stanford University in 2023. Prof. Wei is currently a youth editor for some journals including Journal of Systems Engineering and Electronics and Space: Science & Technology.
Content
Introduction.- Preliminary Method of Prescribed Performance Control.- Extended State Observer-based Prescribed Performance Control with Velocity Information Loss.- Adaptive Fault-tolerant Prescribed Performance Control with Actuator Saturation and Faults.- Robust Prescribed Performance Control with External Disturbances.- Event-triggered Prescribed Performance Control with Low-frequency Communication.- Appointed-time Prescribed Performance Control with Guaranteed Convergence.- Cooperative Prescribed Performance Control with Collision Avoidance and Connectivity Assurance.- Reinforcement Learning based Prescribed Performance Control.
