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https://doi.org/10.1109/hpcc.2...
Article . 2011 . Peer-reviewed
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Cooperative Federated Control with Application to Tracking Control

Authors: Frank T. Ferrese; Qing Dong; Kristen Bradshaw; Stephen Chaves; Saroj Biswas; Li Bai 0002;

Cooperative Federated Control with Application to Tracking Control

Abstract

Large-scale systems refer to systems that consist of many interdependent local systems. Conventional centralized control schemes are not suitable for such large-scale systems due to global dynamic behavior complexity and computational difficulties. This paper introduces a general framework of agent based federated control motivated by the political structure where partially self-governing states are united by a federal government. Likewise, a multi-agent based federated control system is composed of local autonomous subsystems that cooperate to provide an overall system behavior. Formation stability and trajectory tracking control of a group of autonomous agents is designed based on this concept. Decentralized cooperative federated controllers are developed for each individual agent. Simulations show that the overall system is globally asymptotically stable to track a time-varying trajectory with a pre-designated formation for a group of nonlinear dynamic agents.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Top 10%