Adaptive event-triggered control for nonlinear multi-agent systems with unknown control directions and actuator failures

2021 ◽  
Author(s):  
Chang-E Ren ◽  
Quanxin Fu ◽  
Jiaang Zhang ◽  
Junsheng Zhao
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Actuator Failures ◽  
Unknown Control Directions ◽  
Multi Agent ◽  
Unknown Control ◽  
Event Triggered

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

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3122
Author(s):  
Shurong Yan ◽  
Ayman A. Aly ◽  
Bassem F. Felemban ◽  
Meysam Gheisarnejad ◽  
Manwen Tian ◽  
...  
Keyword(s):  
Sufficient Conditions ◽  
Total Sample ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Actuator Failures ◽  
Approximation Errors ◽  
Multi Agent ◽  
The Stability ◽  
Type 3 ◽  
Event Triggered

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.

Sign in / Sign up

Export Citation Format

Share Document