Distributed Pinning-Control Flocking Algorithms for Complex Networked Systems

Project: Research

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Description

This proposal aims to design some effective distributed flocking algorithms for pinning control of complex networked systems of multiple autonomous agents. First, the pinning control approach initiated by the Principal Investigator will be incorporated into the conventional flocking algorithms to choose a suitable fraction of pinned agents called informed agents such that the whole network of mobile systems can reach a predesigned flocking pattern, for which both rigorous mathematical analysis and numerical simulations will be performed. Then, some fundamental problems in pinning control of such flocking systems will be investigated, such as what which portion of informed agents should be chosen towards efficient flocking, and what kind of pinning controllers should be designed? Also, as an efficient approach, some observer-based pinning controllers will be designed using only local and partial state information of some agents for practical situations where other information may not be available. Moreover, based on adaptive strategies, several distributed adaptive laws will be designed without requiring global network information to relax some existing conservative conditions for flocking. Finally, the designed algorithms will be extended to studying more practical and yet more challenging flocking systems with time delays, switching topologies, communication noises, and intermittent measurements. The approach and methodology are based on algebraic graph theory, dynamical systems theory and automatic control theory.

Detail(s)

Project number9041658
Grant typeGRF
StatusFinished
Effective start/end date1/10/1110/08/15