Derivative-Free Adaptive Control
American Institute of Aeronautics & Astronautics (Verlag)
978-1-62410-701-6 (ISBN)
Derivative-Free Adaptive Control serves as a compendium of the authors' scholarship on the development of and theory for adaptive control, referred to herein as Derivative-Free Model Reference Adaptive Control (DF-MRAC). Previous methods of Model Reference Adaptive Control (MRAC) were based on the underlying assumption that plant model uncertainty can be approximated by a set of state dependent basis functions that are parameterized by an unknown but constant set of weights. In DF-MRAC, the viewpoint taken is that ideal weights may be time varying and, in fact, one can do away with the need for choosing a set of basis functions. The book presents a set of reproducible examples that illustrate the important features and advantages of DF-MRAC over conventional MRAC methods, and points out the many circumstances that exist for which a constant parameterization of uncertainty may be difficult or impossible to achieve, particularly in the case of unmodeled dynamics, time varying uncertainties, and exogenous disturbances that may be acting on the system being controlled. Geared toward graduate students, scholars, and experienced designers in the industry, the book clearly illustrates the benefits offered by DF-MRAC by contrasting it with Derivative-Based MRAC. It includes easy to follow and implementable examples, and collects existing results on this subject in one volume.
Tansel Yucelen is an Associate Professor in the Department of Mechanical Engineering, the Director of the Laboratory for Autonomy, Control, Information, and Systems (LACIS), and the Director of the Forum on Robotics and Control Engineering (FoRCE) at the University of South Florida in Tampa. Prior to joining the University of South Florida, he received his PhD in Aerospace Engineering from the Georgia Institute of Technology, where he also held research engineer positions, and was an Assistant Professor at the Missouri University of Science and Technology. His research interests include adaptive and robust control of safety-critical systems; distributed estimation and control of networked multiagent systems; resilient and secure robotics, autonomous vehicles, human-in-the-loop systems, and cyber-physical systems; and large-scale modular systems. Dr. Yucelen is an Associate Fellow of AIAA, a Senior Member of IEEE, and a member of the National Academy of Inventors. He has won numerous research, teaching, and technical contribution awards, and co-authored more than 325 conference and journal publications. Anthony J. Calise is Professor Emeritus at the Georgia Institute of Technology, where he built a program in flight mechanics and control (FMC) and started the UAV lab. His research program was funded by NASA, the Air Force Office of Scientific Research, the Army Research Office, and a variety of Air Force laboratories and corporate sponsors. Throughout his academic career Dr. Calise served as a consultant to industry in the areas of helicopter, aircraft, launch vehicles, satellites, and guided parafoil flight control. He is a Fellow of AIAA, and nationally and internationally recognized as an expert in the areas of adaptive guidance/flight control, and adaptive control of flexible systems. He was the recipient of the United States Air Force (USAF) Systems Command Technical Achievement Award, the AIAA Mechanics and Control of Flight Award, and the AIAA Aerospace Guidance Navigation and Control Award. He is a former Associate Editor for the Journal of Guidance, Control, and Dynamics and for the IEEE Control Systems Magazine. Dr. Calise holds a PhD in Electrical Engineering from the University of Pennsylvania.
| Erscheinungsdatum | 03.11.2023 |
|---|---|
| Reihe/Serie | Progress in Astronautics and Aeronautics ; 267 |
| Verlagsort | Reston |
| Sprache | englisch |
| Themenwelt | Technik ► Fahrzeugbau / Schiffbau |
| Technik ► Luft- / Raumfahrttechnik | |
| ISBN-10 | 1-62410-701-X / 162410701X |
| ISBN-13 | 978-1-62410-701-6 / 9781624107016 |
| Zustand | Neuware |
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