2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023)


Prof. Guanghong Yang (IEEE Fellow, CAA Fellow)

Northeastern University, China

BIOGuang-Hong Yang received his B.S. and M.S. degrees in Mathematics, and Ph.D. degree in control theory and control engineering with Northeastern University, Shenyang, China, in 1983, 1986, and 1994, respectively. He is currently a chair professor and the dean with the College of Information Science and Engineering, Northeastern University. He is an IEEE Fellow and a Fellow of Chinese Association of Automation (CAA). Dr. Yang has been a general chair of the annual Chinese Control and Decision Conference (CCDC) since 2012, and is the Editor-in-Chief for the Journal of Control and Decision, an Editor for the International Journal of Control, Automation (IJCAS), and the Chair of the Technical Committee on Control and Decision for Cyber-Physcial Sytems, CAA. His current research interests include fault-tolerant control, fault detection and isolation, safety of cyber-physical systems, and unmanned systems. He has published 3 monographs and over 400 papers in the international journals, and is a highly cited researcher (since 2019) selected by Clarivate.

Speech Title: Obstacle/Collision Avoidance in Distributed Optimal Coordination of Multiple Euler-Lagrangian Systems

Abstract: This talk studies the problem of obstacle/collision avoidance in distributed optimal coordination (DOC) for multiple uncertain Euler-Lagrangian (EL) systems. The main challenge focuses on the co-design of obstacle avoidance mechanism and distributed optimization strategy. To address it, a secure trajectory planning method is firstly proposed based on an online projection mechanism; then a novel safety barrier function in the closed form of path integrals is constructed whch can adaptively adjust the secure trajectory tracking error to avoid the obstacles. Based on the Lyapunov method and boundedness analysis for the barrier function, it is proved that all the EL systems can simultaneously achieve the global convergence and obstacle avoidance. In order to prevent the collisions between agents, the proposed scheme is further extended to the collision-free DOC problem.


Prof. Defu Zhang

Xiamen University, China



Assoc. Prof.Ata Jahangir Moshayedi

Jiangxi University of Science and Technology, China

BIO: Dr Ata Jahangir Moshayedi, Associate professor at Jiangxi University of Science and Technology, China, PhD. In Electronic Science from Savitribai Phule Pune University, India. IEEE member, Instrument Society of India as a Life Member, Lifetime Member of Speed Society of India, member of the editorial team of various conferences and journals like; International Journal of Robotics and Control, JSME, Bulletin of Electrical Engineering and Informatics, International Journal of Physics and Robotics Applied Electronics, etc., 80 papers published in national journals and conferences, 3 books published, Owns 2 patent, 9 copyright. His research interest includes: Robotics and Automation/ Sensor modelling /Bio-inspired robot, Mobile Robot Olfaction/Plume Tracking, Embedded Systems / Machin vision-based Systems/Virtual reality, Machine vision/Artificial Intelligence 

Speech Title: Emerging Trends in Gas Sensor Modeling for Improved Sensing Capabilities From electronic nose to Gas sensor modelling 

Abstract: Since 1982, researchers have been captivated by the enigmatic olfaction system and have sought to develop a similar system. While the complexities of the olfactory system remain largely unknown to humans, significant progress has been made with the creation of Electronic Noses (Enoses). These Enoses have found diverse applications ranging from food quality testing to bomb detection, and now even extend to agricultural projects. Notably, Enoses have been employed in identifying individuals infected with the coronavirus (Covid-19). In this discourse, we will delve into the structure of Enoses and the behavior of their sensors, as well as review applications such as odor source localization and agricultural applications. Additionally, two novel models proposed by Dr. Moshayedi for the MOX gas sensor will be elaborated upon. 

*Inviting & Updating