University professor, university of Zanjan, Iran
Farhad Bayat is a renowned Iranian researcher and academician in the field of control systems and electrical engineering. He has made significant contributions to the development of control systems, particularly in the areas of model predictive control, nonlinear control systems, and renewable energy systems. His work has been widely published in top-tier journals and conferences.
Profile
scopus
Education 🎓
Farhad Bayat received his B.S. in Electrical Engineering from Zanjan University (1999-2003). He then pursued his MSc in Electrical Engineering at Iran University of Science & Technology (2003-2006). Bayat completed his Ph.D. in Electronic Engineering at Iran University of Science & Technology (2006-2011). His academic excellence earned him top ranks in his undergraduate and graduate studies.
Experience 🧪
Farhad Bayat has accumulated extensive research experience in various institutions. He worked at Iran Tele Communication Research Center and Iran University of Science & Technology (2005-2006). Bayat was involved in designing a hybrid simulator for hardware-in-the-loop simulations of satellite attitude determination and control subsystems. He has also contributed to projects on wind turbine control, automotive control systems, and aerospace systems.
Awards & Honors🏆
Farhad Bayat has received numerous awards and honors for his outstanding contributions to science and engineering. Some notable recognitions include being selected as one of the top 2% of scientists in the world in 2024, assessed by Stanford University. He also received the Award for the best researcher in the field of engineering in Zanjan province in 2020.
Research Focus 🔍
Farhad Bayat’s research focuses on control systems, particularly in model predictive control, nonlinear control systems, and renewable energy systems. His work explores the development of novel control strategies for complex systems, including wind turbines, automotive systems, and aerospace systems. Bayat’s research aims to improve the efficiency, stability, and reliability of these systems.
Publications📚
1. 📊 An MPC-based fault tolerant control of wind turbines in the presence of simultaneous sensor and actuator faults.
2. 🚀 Robust non-aggressive three-axis attitude control of spacecraft: Dynamic sliding mode approach.
3. 💻 Optimal congestion management in network routers subject to constraints, disturbances, and noise using the model predictive control approach.
4. 🤖 LMI-based Luenberger observer design for uncertain nonlinear systems with external disturbances and time-delays.
5. 🦾 A nonsingular terminal sliding algorithm for swing and stance control of a prosthetic leg robot.
6. 💡 Sample-data output-feedback parameter variable control of glucose for type 1 diabetes mellitus patients.
7. 💻 Sampled-Data Linear Parameter Variable Approach for Voltage Regulation of DC–DC Buck Converter.
8. 🤖 Barrier function-based adaptive nonsingular terminal sliding mode control technique for a class of disturbed nonlinear systems.
9. 🚀 Nonsingular terminal sliding mode control for micro-electromechanical gyroscope based on disturbance observer: Linear matrix inequality approach.
10. 🚗 Robust Performance Improvement of Lateral Motion in Four-Wheel Independent-Drive Electric Vehicle.
11. 📊 Model Predictive Control: Theory and Applications.
12. 📚 Theory of automatic control systems.
13. 🤖 Toolbox developed for MATLAB: MPC3S: MPC in 3 Steps Toolbox.
14. 📊 Model Predictive Sliding Control for Finite-Time Three-axis Spacecraft Attitude Tracking.
15. 🤖 Composite Nonlinear Feedback Design for Discrete-Time Switching Systems with Disturbances and Input Saturation.
16. 📊 Constrained Linear Parameter-Varying Control using Approximate Multi-Parametric Programming.
17. 📊 Optimal Observer Designing for eMPC.
18. 📊 Two-Stage Observer Based Offset-Free MPC.
19. 📊 On the Performance of Observer-Based Explicit Model Predictive Control.
20. 📊 Design of explicit model predictive control for constrained linear systems with disturbances.
21. 🤖 Flexible Piecewise Function Evaluation Methods Based on Truncated Binary Search Trees and Lattice Representation in Explicit MPC.
22. 📊 Managing time-storage complexity in point location problem: Application to Explicit Model Predictive Control.
23. 📊 Comments on Analytical expression of explicit MPC solution via lattice piecewise-affine function.
24. 📊 Using hash tables to manage time-storage complexity in point location problem: Application to Explicit MPC.
25. 🚀 Global Stabilizing Magnetic Controller for Satellite Attitude Detumbling and Hardware In the Loop Implementation.
26. 📊 Optimal Control of Linear Constrained Systems: Multi-Parametric Programming Approach.
27. 🚀 Artificial Missile Guidance Using On-Line Adaptive Neural Networks.
28. 🤖 An Efficient Algorithm for Clustering of Convex and Non-Convex Data.
29. 🚀 Attitude Control Of Spinning Satellite Subject To Actuators
Conclusion
Dr. Farhad Bayat’s impressive academic background, research excellence, interdisciplinary approach, and leadership skills make him an outstanding candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make a significant impact in his field.