Adaptive Fault-Tolerant Control for Consensus of Nonlinear Fractional-Order Multi-Agent Systems with Diffusion
Yuqian Yang, Qingwen Qi, Jingyao Hu, Jiashu Dai, Chengdong Yang
Abstract
This paper mainly studies fault-tolerant control for a class of semi-linear fractional-order multi-agent systems with diffusion characteristics, where the actuator fault is considered. The adaptive fault-tolerant control protocol based on the adjacency relationship of agents is firstly designed, which can adjust the coupling gain online through the adaptive mechanism. Using the Lyapunov stability theory, the adaptive fault-tolerant control protocol can drive the agents to achieve consensus for leader-following and leaderless cases. Finally, the simulation experiment is carried out, showing the effectiveness of the proposed theory.
Topics & Concepts
Control theory (sociology)Fault toleranceNonlinear systemMulti-agent systemActuatorComputer scienceLyapunov stabilityAdaptive controlProtocol (science)Fault (geology)Adjacency listControl (management)Distributed computingAlgorithmArtificial intelligencePhysicsAlternative medicineSeismologyPathologyQuantum mechanicsGeologyMedicineDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationNonlinear Dynamics and Pattern Formation