Findings This review presents an evolvement trend of interaction control theories and technologies over time. In addition, it highlights the pros and cons of each control approaches with addressing how the flaws of one control approach were compensated by emerging another control methods. Originality/...
Multi-agent reinforcement learning: A selective overview of theories and algorithms. In Handbook of Reinforcement Learning and Control (eds Vamvoudakis, K. G. et al.) 321–384 (2021). Qin, J., Chow, Y., Yang, J. & Rajagopal, R. Distributed online modified greedy algorithm for networked...
This survey study analyzes the driving and braking control logic algorithms in electric vehicles (EVs) to enhance energy efficiency and speed control. It explores their applications with Smart Grids and Sustainable Energy systems, emphasizing the potential impact of integrating EVs with renewable energy ...
(6) Computer Vision and Parten Reignitions (7) Data Mining and Data Processing (8) Control Theories and Applications (9) Research and Application of Humanoid Robots (10) Innovation of Robotics ●CFP Topics ARTIFICIAL INTELLIGENCE Algorithms; Artificial Intelligence Tools & Applications; Bioinformatics...
The coverage control theories and algorithms can result in not only network resources' optimial allocation but also efficient sensing and collecting of the environmental information, and communicating with neighboring nodes by wireless sensor networks. In this paper, the coverage control problem is ...
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Chapter © 2021 Reinforcement Learning Chapter © 2020 High-accuracy model-based reinforcement learning, a survey Article 04 February 2023 Keywords Reinforcement Learning Optimal Control Engineering Application Arti...
In recent years, the traditional control and graph theories have been exploited to determine the linear controllability of complex networks1,2,3,4,5,6,7,8,9. The efforts have led to a quantitative understanding of the interplay between controllability and network structure. In particular, in the...
CiteScore 1.7 (2023) Most research and experiments in the fields of science, engineering and social studies have spent significant efforts to find rules from various complicated phenomena by observations, recorded data, logic derivations and so on. The rules are normally summarised as concise and qu...
Among numerous control theories used to solve particular problems are: nonlinear control, robust control, adaptive control, Lyapunov techniques, observer design, model predictive control, neural control, sliding mode control, signal filtration and processing, fault diagnosis, and fault tolerant control....
Control Systems using MATLAB assignments involve the practical application of control theory to design, analyze, and simulate dynamic systems. This course equips students with the skills to create algorithms using MATLAB software, enabling them to address control-related challenges and model system ...