Distributed Optimal Steady-State Regulation for High-Order Multiagent Systems With External Disturbances

In this paper, a distributed optimal steady-state regulation problem is formulated and investigated for heterogeneous linear multiagent systems subject to external disturbances. We aim to steer this high-order multiagent network to a prescribed steady-state determined as the optimal solution of a re...

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Published inIEEE transactions on systems, man, and cybernetics. Systems Vol. 50; no. 11; pp. 4828 - 4835
Main Author Tang, Yutao
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Cost function
Disturbance rejection
Disturbances
embedded control
Heuristic algorithms
high-order dynamics
Linear systems
Multi-agent systems
Multiagent systems
optimal steady-state regulation
Output feedback
Resource allocation
Resource management
Silicon
State regulation
Steady state
Online AccessGet full text
ISSN2168-2216
2168-2232
DOI10.1109/TSMC.2018.2866902

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Abstract In this paper, a distributed optimal steady-state regulation problem is formulated and investigated for heterogeneous linear multiagent systems subject to external disturbances. We aim to steer this high-order multiagent network to a prescribed steady-state determined as the optimal solution of a resource allocation problem in a distributed way. To solve this problem, we employ an embedded control design and convert the formulated problem to two simpler subproblems. Then, both state-feedback and output feedback controls are presented under mild assumptions to solve this problem with disturbance rejection. Moreover, we extend these results to the case with only real-time gradient information by high-gain control techniques. Finally, the numerical simulations verify their effectiveness.
AbstractList In this paper, a distributed optimal steady-state regulation problem is formulated and investigated for heterogeneous linear multiagent systems subject to external disturbances. We aim to steer this high-order multiagent network to a prescribed steady-state determined as the optimal solution of a resource allocation problem in a distributed way. To solve this problem, we employ an embedded control design and convert the formulated problem to two simpler subproblems. Then, both state-feedback and output feedback controls are presented under mild assumptions to solve this problem with disturbance rejection. Moreover, we extend these results to the case with only real-time gradient information by high-gain control techniques. Finally, the numerical simulations verify their effectiveness.
Author Tang, Yutao
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SubjectTerms Cost function
Disturbance rejection
Disturbances
embedded control
Heuristic algorithms
high-order dynamics
Linear systems
Multi-agent systems
Multiagent systems
optimal steady-state regulation
Output feedback
Resource allocation
Resource management
Silicon
State regulation
Steady state
Title Distributed Optimal Steady-State Regulation for High-Order Multiagent Systems With External Disturbances
URI https://ieeexplore.ieee.org/document/8457477
https://www.proquest.com/docview/2451192589
Volume 50
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