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- Title
Control Design for Artificial Swarm Mechanical Systems: Dynamics, Uncertainty, and Constraint.
- Authors
Zhao, Xiaomin; Chen, Ye‐Hwa; Zhao, Han; Dong, Fangfang
- Abstract
Abstract: We consider an artificial swarm system consisting of multiple agents. The agents influence each other through the attraction/repulsion, which is related to the relative positions among them. Here the collective behavior of the agents mimics some biological swarm systems. The dynamic model for each agent is built by taking the uncertainty into account. Based on the dynamic model, we propose three types adaptive robust controls, including switching type, non‐switching type and fractional type, for each agent. The control design weaves together several intrinsic features of kinematics, dynamics, d'Alembert's principle, constraint, and uncertainty.
- Subjects
SWARM intelligence; MULTIAGENT systems; PARTICLE swarm optimization; ROBUST control; CONTROL theory (Engineering)
- Publication
Asian Journal of Control, 2018, Vol 20, Issue 5, p2042
- ISSN
1561-8625
- Publication type
Article
- DOI
10.1002/asjc.1688