A New Event-Triggered Type-3 Fuzzy Control System for Multi-Agent Systems: Optimal Economic Efficient Approach for Actuator Activating

This study presents a new approach for multi-agent systems (MASs). The agent dynamics are approximated by the suggested type-3 (T3) fuzzy logic system (FLS). Some sufficient conditions based on the event-triggered scheme are presented to ensure the stability under less activation of the actuators. N...

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Bibliographic Details
Published in:Electronics (Basel) 2021-12, Vol.10 (24), p.3122
Main Authors: Yan, Shurong, Aly, Ayman A., Felemban, Bassem F., Gheisarnejad, Meysam, Tian, Manwen, Khooban, Mohammad Hassan, Mohammadzadeh, Ardashir, Mobayen, Saleh
Format: Article
Language:English
Subjects:
Actuators
Aircraft
Approximation
Artificial intelligence
Compensators
Controllers
Denial of service attacks
Efficiency
Fuzzy control
Fuzzy logic
Fuzzy sets
Literature reviews
Methods
Multiagent systems
Perturbation
Reagents
Stability
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Summary:This study presents a new approach for multi-agent systems (MASs). The agent dynamics are approximated by the suggested type-3 (T3) fuzzy logic system (FLS). Some sufficient conditions based on the event-triggered scheme are presented to ensure the stability under less activation of the actuators. New tuning rules are obtained for T3-FLSs form the stability and robustness examination. The effect of perturbations, actuator failures and approximation errors are compensated by the designed adaptive compensators. Simulation results show that the output of all agents well converged to the leader agent under disturbances and faulty conditions. Additionally, it is shown that the suggested event-triggered scheme is effective and the actuators are updated about 20–40% of total sample times.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10243122