A Discrete-Time Event-Driven Near-Optimal Second-Order SMC for Multirobotic System Formation Prone to Network Uncertainties

In this article, we propose a novel stochastic event-driven near-optimal sliding-mode controller design for addressing the consensus of a multiagent system in a network. The system is prone to external disturbances and network uncertainties, such as losses and delays of data packets. The randomness...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2023-09, Vol.34 (9), p.6354-6367
Hauptverfasser:	Nandanwar, Anuj, Dhar, Narendra Kumar, Behera, Laxmidhar, Nahavandi, Saeid, Sinha, Rajesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Consensus Control systems design Controllers Convergence delay Delays Design event-trigger Multiagent systems near-optimal neural network Neural networks Optimal control Optimization Packet loss Packets (communication) Randomness Robots Robust control Robustness Sliding mode control sliding mode control (SMC) stochastic Stochastic processes Stochasticity Surface dynamics Uncertainty Upper bounds
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