A Novel Robust Decentralized Adaptive Fuzzy Control for Swarm Formation of Multiagent Systems
By B. R. Sahraei, F. Shabaninia, A. Nemati, S. Stan. 2012
119 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering, Public Health, Environmental and Occupational Health
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In Computer Networks and Communications
In Control and Systems Engineering
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Citations in the corpus
- Deep Reinforcement Learning for Swarm Systems (2018, background): “Optimization–based approaches can compute optimal control policies for tasks that can be well modeled, such as rendezvous or consensus problems [Lin et al., 2007] and formation control [Ranjbar-Sahraei et al., 2012], or to learn pursuit strategies to capture an evader [Zhou et al., 2016].”
- A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots (2014, background): “Therefore, each agent provides its own control input without considering dynamics and control inputs of other agents [9], [10].”