Project

Project 3. Practical and cost-effective Approaches in Robotics/Control Based on Artificial Intelligence and Machine Learning techniques

Improving the overall efficiency of robotic systems such as Flexible Manipulators, Digital Servo Systems, Electro-Hydraulic Servo-Systems (EHSS), and Magnetic Levitation Systems has been received a great deal of interests from different research groups due to their diverse applications in advanced industries. 

To overcome these issues, I proposed novel intelligent control and identification approaches by considering artificial intelligence and machine learning techniques which are not only cost-efficient but also practically implementable in real-time robotic systems. 

Related Publications

[A14] Reyhanoglu, M., & Jafari, M. (2025). Learning-Enabled Robust Control of Thermoacoustic Oscillations, Electronics, 14(9), 1771.

[A13] Hajiahmadi, F., Jafari, M., & Reyhanoglu, M. (2024). Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms, AgriEngineering, 6(2), 1417-1435.

[A12] Jafari, M., Reyhanoglu, M., & Kozhabek, Z. (2023). Simple Learning-Based Robust Nonlinear Control of an Electric Pump for Liquid-Propellant Rocket Engines, Electronics, 12(16), 3527.

[A11] Reyhanoglu, M., & Jafari, M. (2023). A Simple Learning Approach for Robust Tracking Control of a Class of Dynamical Systems, Electronics, 12(9), 2026.

[A10] Jafari, M., & Gomez, M. (2019, December). Online machine learning based controller for coupled tanks systems. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 163-169). IEEE.

[A9] Jafari, M., & Xu, H. (2017). A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-7). IEEE.

[A8] Samadi, H., & Jafari, M. (2016,May). Detecting Assembled Workpieces to Sort According to Color by Mitsubishi RV-2AJ Robot and Festo Sorting Station Based on Industrial Networks. In 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE) (pp. 1-6). IEEE.

[A7] Hasanpour, A., Daemy, P., Aghazamani, M., Alipour, K., & Jafari, M. (2016, January). Kinematic analysis of Darwin's humanoid robot. In 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) (pp. 356-361). IEEE.

[A6] Hajimani, M., Gholami, M., Dashti, Z. A. S., Jafari, M., & Shoorehdeli, M. A. (2014, February). Neural adaptive controller for magnetic levitation system. In 2014 Iranian Conference on Intelligent Systems (ICIS) (pp. 1-6). IEEE.

[A5] Dashti, Z. A. S., Jafari, M., Gholami, M., & Shoorehdeli, M. A. (2014, February). Neural—Adaptive control based on backstepping and feedback linearization for electro hydraulic servo system. In 2014 Iranian Conference on Intelligent Systems (ICIS) (pp. 1-6). IEEE.

[A4] Jafari, M., Shahri, A. M., & Elyas, S. H. (2013, October). Optimal tuning of brain emotional learning based intelligent controller using clonal selection algorithm. In ICCKE 2013 (pp. 30-34). IEEE.

[A3] Dashti, Z. A. S., Jafari, M., Gholami, M., Shoorehdeli, M. A., & Teshnehlab, M. (2013, August). Speed control of a Digital Servo System using parallel distributed compensation controller and Neural Adaptive controller. In 2013 13th Iranian Conference on Fuzzy Systems (IFSC) (pp. 1-6). IEEE.

[A2] Jafari, M., & Shuraki, S. B. (2013, February). Speed control of a digital servo system using brain emotional learning based intelligent controller. In 4th Annual International Power Electronics, Drive Systems and Technologies Conference (pp. 311-314). IEEE.

[A1] Jafari, M., Ebrahimi, I. D., Torabi, A., & Karimi, M. (2012, May). Using hopfield neural network for password authentication. In Proceedings of the Regional Conference on Computer Engineering, Knowledge & Information Technology (In Persian).