Semi-Global Output Consensus for Discrete-Time Switching Networked Systems Subject to Input Saturation and External Disturbances

The semi-global output consensus problem for multiagent systems depicted by discrete-time dynamics subject to external disturbances and input saturation over switching networks is investigated in this paper. Assume that only a small part of subsystems have directly received the output of the exosyst...

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Bibliographic Details
Published in:IEEE transactions on cybernetics Vol. 49; no. 11; pp. 3934 - 3945
Main Authors: Su, Housheng, Ye, Yanyan, Qiu, Yuan, Cao, Yang, Chen, Michael Z. Q.
Format: Journal Article
Language:English
Published: United States IEEE 01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Actuators
Algorithms
Biological system modeling
Computer simulation
Consensus algorithm
Discrete time systems
Disturbances
External disturbances
input saturation
Multi-agent systems
Multiagent systems
multiagent systems (MASs)
output consensus
Riccati equation
Saturation
State feedback
Subsystems
Switches
switching networks
Switching theory
Synchronism
Synchronization
ISSN:2168-2267, 2168-2275, 2168-2275
Online Access:Get full text
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Summary:The semi-global output consensus problem for multiagent systems depicted by discrete-time dynamics subject to external disturbances and input saturation over switching networks is investigated in this paper. Assume that only a small part of subsystems have directly received the output of the exosystem. The distributed consensus algorithms are proposed by adopting the low-gain state feedback and the modified algebraic Riccati equation. Then, the outputs of all subsystems can reach synchronization asymptotically with those of the exosystem by using the proposed consensus protocols on some preconditions. Both the connected switching networks and the jointly connected switching networks are considered for the semi-global output consensus problem, respectively. Some numerical simulation results are shown to validate the theoretical analysis.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2018.2859436