Peng Bo | Robotics | Excellence in Scientific Innovation Award

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Dr. Peng Bo | Robotics | Excellence in Scientific Innovation Award

Tsinghua University | China

Dr. Peng Bo is a researcher specializing in control systems, networked autonomous vehicles, and advanced filtering techniques, with a focus on H∞ filtering and event-based control methods for complex networked systems. His work integrates rigorous mathematical modeling, augmented Lyapunov functional approaches, and innovative algorithm design to enhance stability, performance, and reliability in mass-switching autonomous multi-vehicle systems. With a strong foundation in system dynamics and networked control, he has contributed to several high-impact publications, demonstrating a practical yet theoretically robust research approach. His research has influenced both academic developments and real-world applications in intelligent transportation and autonomous systems, reflecting measurable impact through citations and collaborative contributions in his field. Dr. Peng Bo continues to advance methodologies for robust control and optimization in interconnected, dynamic environments.

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🟦 Citations   🟥 Documents   🟩 h-index


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Featured Publications

Mostafa Jalalnezhad | Mobile Robot | Best Researcher Award

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Dr. Mostafa Jalalnezhad | Mobile Robot | Best Researcher Award

Kharazmi University | Iran

Dr. Mostafa Jalalnezhad is a dedicated researcher in Mechanical Engineering with a specialization in Control and Vibration, focusing particularly on robotics and mechatronics systems. His research interests encompass robotics, mobile robotics, nonlinear control, and robust adaptive control, reflecting a deep engagement with advanced control methodologies and intelligent systems design. He has contributed to the study and development of dynamic control mechanisms aimed at enhancing the precision, stability, and adaptability of robotic systems in complex environments. As a researcher at Kharazmi University, he actively participates in projects that integrate theoretical and experimental approaches to address challenges in automation and control engineering. His expertise extends to the modeling and simulation of robotic systems, adaptive algorithms for uncertain environments, and the design of control strategies to improve system performance under nonlinear and time-varying conditions. Through his academic and research activities, Dr. Jalalnezhad demonstrates a strong commitment to advancing innovations in mechatronic applications and fostering the integration of control theory with practical robotic solutions, contributing meaningfully to the progress of intelligent mechanical systems and modern automation technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Jalalnezhad, M. (2025, December). Neural network-based intelligent path tracking for nonlinear predictive control in wheeled robots. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Sayed, B. T., Alotaibi, Y., Al-Mohair, H. K., Kareem, A. K., Adel, A. A., Khaddour, R. H., Sharma, M. K., Alanssari, A. I., & Attabi, K. A. L. (2025, December). Real-time vision-based obstacle avoidance for mobile robots using lightweight monocular depth estimation and behavior-driven control. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Sharma, M. K., Mansouri, S., Velmurugan, S., Askar, S., Alawsi, T., Alawadi, A., & Abbas, A. H. (2025, November). [RETRACTED] Learning model predictive controller for wheeled mobile robot with less time delay. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Jalalnezhad, M. (2025, October). Design of intelligent control systems for damping vibrations of composite sheets using piezoelectricity as a sensor and actuator under various disturbance conditions. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Kareem, A. K., Chammam, A., & Al Attabi, K. A. (2025, October). Intelligent vibration control of composite and FGM plates using piezoelectric actuators and optimized sliding mode-based controllers. Journal of Vibration Engineering & Technologies.