Backstepping Control of Nonlinear Dynamical Systems
- 1st Edition - August 19, 2020
- Latest edition
- Editors: Sundarapandian Vaidyanathan, Ahmad Taher Azar
- Language: English
Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include ‘… Read more
Backstepping Control of Nonlinear Dynamical Systems addresses both the fundamentals of backstepping control and advances in the field. The latest techniques explored include ‘active backstepping control’, ‘adaptive backstepping control’, ‘fuzzy backstepping control’ and ‘adaptive fuzzy backstepping control’. The reference book provides numerous simulations using MATLAB and circuit design. These illustrate the main results of theory and applications of backstepping control of nonlinear control systems. Backstepping control encompasses varied aspects of mechanical engineering and has many different applications within the field. For example, the book covers aspects related to robot manipulators, aircraft flight control systems, power systems, mechanical systems, biological systems and chaotic systems.
This multifaceted view of subject areas means that this useful reference resource will be ideal for a large cross section of the mechanical engineering community.
- Details the real-world applications of backstepping control
- Gives an up-to-date insight into the theory, uses and application of backstepping control
- Bridges the gaps for different fields of engineering, including mechanical engineering, aeronautical engineering, electrical engineering, communications engineering, robotics and biomedical instrumentation
1. An introduction to backstepping control
2. A new chaotic system without linear term, its backstepping control and circuit design
3. Analysis, adaptive backstepping control and microcontroller implementation of a 4-D hyperchaotic system with a hyperbolic sinusoidal nonlinearity
4. A new chaotic jerk system with egg-shaped strange attractor, its dynamical analysis, adaptive backstepping control and circuit simulation
5. A new 4-D chaotic hyperjerk system, its adaptive backstepping control and circuit realization
6. A simple chaotic jerk system with two quadratic nonlinear terms, its dynamic analysis, adaptive backstepping control and circuit realization
7. A highly hyperchaotic system with hidden attractor, its dynamic analysis, adaptive backstepping control and circuit simulation
8. A new 4-D hyperchaotic temperature model, its analysis, backstepping control and circuit simulation
9. A thermally excited chaotic oscillator, its dynamical analysis, backstepping control and circuit simulation
10. A plasma-torch chaotic oscillator, its analysis, backstepping control and circuit simulation
11. A novel design approach for finite-time fractional-order adaptive intelligent backstepping control of uncertain fractional-order chaotic systems
12. A novel design approach for adaptive intelligent backstepping controller for fractional-order uncertain chaotic systems with unknown time-varying delay
13. Direct power control of three phase PWM-rectifier with backstepping control
14. Adaptive backstepping controller of wind energy conversion system involving DFIG
15. Maximum power point tracking based backstepping control of a photovoltaic power generation system
16. Dynamic modeling, identification and a comparative experimental study on Position Control of a Pneumatic actuator based on soft switching and Backstepping-sliding mode controllers
17. Optimal adaptative backstepping control for chaos synchronization of nonlinear dynamical systems
18. A novel design approach to adaptive sliding mode backstepping control techniques for a high performance active vehicle suspension system
19. Backstepping controller for a nonlinear active suspension system
20. Single-Link Flexible Joint Manipulator Control Using Backstepping Technique
21. Backstepping control and synchronization techniques for time delayed chaotic and hyperchaotic systems
22. Multi-switching synchronization of Nonlinear Hyperchaotic Systems via Backstepping Control
23. Backstepping-based chaos control and synchronization in fractional order Bhalekar-Gejji chaotic system
24. A new 5-D chaotic hyperjerk system with two saddle-foci equilibrium Points, its active backstepping control and circuit realization
25. Design and implementation of a backstepping controller for non-holonomic two-wheeled inverted pendulum mobile robots
- Edition: 1
- Latest edition
- Published: August 19, 2020
- Language: English
SV
Sundarapandian Vaidyanathan
AT
Ahmad Taher Azar
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.