Event-Triggered Practical Fixed-Time Fuzzy Containment Control for Stochastic Multiagent Systems
Dajie Yao, Chunxia Dou, Dong Yue, Xiangpeng Xie
Abstract
In this article, an event-triggered practical fixed-time containment control issue for stochastic nonlinear multiagent systems is addressed. The event-triggering mechanism is designed for the controller update which is reduced update frequency. In combination with the backstepping technique and fuzzy logic systems, an adaptive fuzzy containment control strategy is developed for stochastic uncertain multiagent systems. By adopting the protocol, an adaptive containment controller is devised, which can ensure that the containment errors gather to a small range in fixed time. Finally, simulation results for the practical example demonstrate the correctness of the proposed scheme.
Topics & Concepts
Containment (computer programming)CorrectnessBacksteppingComputer scienceFuzzy logicControl theory (sociology)Multi-agent systemController (irrigation)Fuzzy control systemAdaptive controlNonlinear systemEvent (particle physics)Protocol (science)Control (management)Artificial intelligenceAlgorithmPathologyPhysicsQuantum mechanicsAgronomyMedicineAlternative medicineBiologyProgramming languageDistributed Control Multi-Agent SystemsAdaptive Dynamic Programming ControlAdaptive Control of Nonlinear Systems