Finite-Time Output Synchronization for Output-Coupled Reaction-Diffusion Neural Networks With Directed Topology
Qian Qiu, Housheng Su
Abstract
For output-coupled reaction-diffusion neural networks (RDNNs), the finite-time output synchronization (FTOS) issue is researched under directed topology in this paper. By virtue of the Lyapunov approach, inequality skills and important lemmas, the feedback control protocol is designed to obtain the FTOS criterion for coupled RDNNs with output coupling. Furthermore, to ensure that the output-coupled RDNNs realize output synchronization in finite time, a novel adaptive coupling weights control strategy and output feedback controller are proposed. Finally, the relevant simulation results are presented to demonstrate the correctness of our obtained theorems respectively.
Topics & Concepts
Control theory (sociology)Synchronization (alternating current)CorrectnessArtificial neural networkTopology (electrical circuits)Controller (irrigation)Computer scienceCoupling (piping)Network topologyAdaptive controlMathematicsControl (management)AlgorithmEngineeringMechanical engineeringOperating systemBiologyArtificial intelligenceCombinatoricsMachine learningAgronomyNeural Networks Stability and SynchronizationNeural Networks and ApplicationsAdvanced Memory and Neural Computing