Modeling, Dynamics and Control approaches for Modern Robotics (Advances in Nonlinear Dynamical Systems and Robotics (ANDC)) - Softcover

Über die Autorinnen und Autoren

Prof. Ahmad Azar is a full Professor at Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is the leader of Automated Systems and Computing Lab (ASCL), Prince Sultan University, Saudi Arabia.

Prof. Azar is the Editor in Chief of the International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. He is also the Editor in Chief of International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) and International Journal of Sociotechnology and Knowledge Development (IJSKD) published by IGI Global, USA. From 2013 to 2017, Prof. Azar was an associate editor of ISA Transactions, Elsevier.

He is currently an editor for IEEE Transactions on Fuzzy Systems, IEEE Systems Journal, IEEE Transactions on Neural Networks and Learning Systems, Springer's Human-centric Computing and Information Sciences.

Prof. Azar specializes in artificial intelligence (AI), robotics, machine learning, control theory and applications, computational intelligence, reinforcement learning, and dynamic system modeling. He has published or co-published over 550 research papers, book chapters, and conference proceedings in prestigious peer-reviewed journals.

Dr. Ahmad Azar has received several awards, including the Benha University Prize for Scientific Excellence (2015, 2016, 2017, and 2018) and the Benha University Highest Citation Award (2015, 2016, 2017, and 2018).

In June 2018, he was awarded the Egyptian State Encouragement Award in Engineering Sciences by the Ministry of Higher Education and Scientific Research. In August 2018, he was elected as a senior member of the International Rough Set Society (IRSS).

Prof. Azar was named one of the top computer scientists in Saudi Arabia by Research.com since December 2019.

He was awarded the Egyptian President's Distinguished Egyptian Order of the First Class in February 2020.

In October 2020, Prof. Azar received Abdul Hameed Shoman Arab Researchers Award in Machine Learning and Big Data Analytics.

From October 2020 to September 2023, Prof. Azar was recognized as a Distinguished researcher at Prince Sultan University, Riyadh, Saudi Arabia.

In November 2020, October 2021, October 2022, October 2023, September 2024, and September 2025 Prof. Azar was named one of the top 2% of scientists in the world in Artificial Intelligence by Stanford University, based on single-year impact and career-long impact. These rankings were published by Stanford University in the PLOS journal and were based on the SCOPUS database.

Prof. Ahmad Azar has been recognized as one of the top ten researchers at Prince Sultan University, based on his Scopus H-index. He has also received a university award for being among his top publication of research.

Prof. Azar has received Prince Sultan University’s Research Excellence Award. He is also the recipient of the university’s Highest Impact Researcher Award, based on his H-index. Additionally, he has earned a PSU research award for having publications ranked among the top five by impact factor.

Prof. Ahmad Azar is the Vice Chair of the International Federation of Automatic Control (IFAC) Technical Committee of Control Design, Vice chair of IFAC Technical committee 4.3 Robotics, Vice chair of IFAC Technical committee 9.3 “Control for Smart Cities”. He is a technical Committee Member of Data Mining and Big Data Analytics of IEEE Computational Intelligence Society (CIS), IFAC Technical committee Member TC 2.2. Linear Control Systems, IFAC Technical committee Member TC 1.2. Adaptive and Learning Systems.

Arezki FEKIK is a senior lecturer at Akli Mohand Oulhadj University-Bouira, Algeria. He is a member of the International Group of System Control (IGCS), a member of the Springer conference committee and a member of the IEEE SMARTTECH conference. His current research interests include power electronics and its applications such as wind turbines, photovoltaic systems, reliability, harmonics, microgrids and variable speed drives. He has published more than 55 journal and conference articles and book chapters in the fields of power electronics and its applications.

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The field of robotics has seen significant advances in recent years, spurred by breakthroughs in technology and computing power. Modern robotics encompasses a wide range of applications, from autonomous vehicles and industrial automation to humanoid robots and medical robotics. These advances have paved the way for more complex and sophisticated robotic systems capable of performing a variety of tasks with precision and efficiency. The purpose of Modeling, Dynamics and Control approaches for Modern Robotics is to explore and investigate various approaches related to modeling, dynamics and control in the context of modern robotics. The objective is to improve the understanding and development of robotic systems by applying the modern theoretical and practical principles of these fields. By studying modeling aspects, researchers aim to create accurate representations of robot kinematics and dynamics, allowing better analysis and prediction of robot behavior. Additionally, this title focuses on control approaches, aiming to design algorithms and strategies for precise and efficient control of robotic systems. This involves developing control schemes that optimize robot performance, provide stability, and allow adaptation to changing environments or tasks. The research also considers the integration of sensory feedback and perception systems, allowing robots to interact with their environment and make informed decisions.