Intelligent Adaptive Control with System Constraints: Evolving Neural Network Approaches for Robust Adaptive Control

This book provides a comprehensive overview of Adaptive control system design, with a particular emphasis on the recent advancements, covering important practical aspects such as quick adaptation without high transients, adaptation within applicable constraints on system states and control, and model-free adaptive control with smart neural networks. Standard topics in adaptive control and important introductory materials on topics such as Nonlinear system stability using Lyapunov theory are also included in this book. This book provides a clear understanding and an expedited learning experience of both fundamental and advanced topics in Intelligent Adaptive Control to students, faculty, control scientists, and practising engineers interested in designing useful Adaptive control solutions for challenging practical problems. Numerous illustrative problems are included in this book to facilitate a better understanding of the concepts presented. This book is a useful guide for those interested in advanced and evolving topics in adaptive control.

Kapil Sachan, PhD, is currently a Senior Scientist in the Flight Mechanics and Control Division at National Aerospace Laboratories, Bangalore. He obtained both his Master of Engineering in Aerospace Engineering and his PhD from the Indian Institute of Science (IISc), Bangalore, with a specialization in control systems theory. Dr. Sachan’s research encompasses both theoretical and applied aspects of aerospace control systems. His core areas of expertise include guidance and control of aircraft and space vehicles, nonlinear adaptive control, optimal control, and safety-constrained adaptive control. He has published in reputed international journals and conferences and serves as a reviewer for several leading scientific journals. As an integral member of the National Control Law Team, Dr. Sachan is actively involved in projects of national significance, including the development of flight control laws for commercial and high-performance aircraft and high-aspect-ratio wing aircraft with significant structural flexibility. He has also conducted research on hypersonic vehicle control and on precision lunar soft-landing technologies.

Ahmad Jobran Al-Mahasneh earned his B.Sc. and M.Sc. degrees in Mechatronics/Mechanical Engineering from the Jordan University of Science and Technology in 2010 and 2014, respectively. He received his Ph.D. in Mechanical Engineering from the University of New South Wales, Australia, in 2020. He earned the UNSW Dean’s Award for Outstanding PhD thesis. He is currently an Assistant Professor in the Department of Mechatronics Engineering at Philadelphia University, Jordan. He has taught a wide range of courses, including System Dynamics, Machine Intelligence, Digital Control, Applied Nonlinear Control, Robotics, and Programmable Logic Controllers (PLC). He has also supervised numerous undergraduate projects and graduate theses in the areas of control systems, robotics, energy management systems, and mobile robotics. His research interests span adaptive and intelligent control, evolving systems, neural networks and deep learning, nonlinear control, energy management systems, and autonomous systems. He has published many papers in reputed journals and conferences such as IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics, and Energy Conversion and Management. He is a regular reviewer in highly ranked journals.

Sreenatha Anavatti is an academic with the University of New South Wales (UNSW) at Canberra, Australia in the School of Engineering and Technology. Before joining UNSW, he was an Associate Professor at the Indian Institute of Technology, Mumbai, India. He has his Ph.D. from Indian Institute of Science, Bengaluru. Sreenatha’s research interests include guidance and control of autonomous systems as applied to Uncrewed Aerial Vehicles, Uncrewed Ground Vehicles, and Underwater Vehicles. His works include both theoretical and experimental aspects applied to autonomous systems. He has been working with Fuzzy and Neural systems, Evolutionary control systems, Non-linear dynamic systems and their applications, and Physics Informed Neural Networks as applied to control. He has co-authored than 300 publications in these areas. He has supervised more than 25 Ph.D. scholars in these domains. He has given a number of keynote and motivational speeches. His collaborations include Seoul National University (under the Brain-Korea fellowship twice), Institute of Technology, Surabaya, NTU Singapore and Indian Institute of Science, Bengaluru. During his tenure at the Indian Institute of Technology, he has undertaken a number of projects of National importance from the Indian Space Research Organisation, the Defence Research and Development Organisation, and the Aeronautical Development Agency (ADA). At UNSW, his research has been well supported by the Defence Science Technology (DST) group including a number of projects related to autonomous systems.

Radhakant Padhi is currently working as the HAG Professor and Satish Dhawan Chair in the Department of Aerospace engineering, and as an Associate Faculty at the Centre for Cyber-Physical Systems, Indian Institute of Science, Bangalore. During 2022-2025, he was the HAL Chair Professor. He is an academic advisor of Sarla Birla University, Ranchi and a Distinguished Visiting Professor of UPES Dehradun. He is in the governing board of Centurion University, Andhra Pradesh as well. Prof. Padhi’s research interest is in optimal and nonlinear control synthesis algorithms and their applications to challenging practical problems in aerospace, biomedical and mechanical engineering. He has co-authored approximately 300 publications in peer-reviewed international journals and conferences, and also a book on Satellite Formation Flying, published in 2021. Prof. Padhi’s research has been well-supported by the Ministry of Education, Defence R&D Organisation, Indian Space Research Organisation, Dept. of Biotechnology, Sree Padmavathi Venkateswara Foundation, Air Force Research Lab (AFRL) of USA, Agency for Defence Development (ADD) of South Korea, and a few tech-driven private companies. Nonlinear and optimal guidance and control algorithms developed by Dr. Padhi and his team have been received very well across the globe. Prof. Padhi is a Fellow of Indian National Academy of Engineering of India, Aeronautical Society of India, Astronautical Society of India, Institute of Electronics and Telecommunication Engineers and Institute of Engineers India. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). During 2014-2020 he was a member of the Council of the International Federation of Automatic Control (IFAC). He is the Director of Operations of the Automatic Control and Dynamic Optimization Society of India and has been a past president of it too. Currently, he is an Associate Editor of Unmanned Systems journal, and has been the associated editor of two more international journals in the past in the control and automation field.