Closed-loop control of nonlinear neural networks: the estimate of control time and energy cost
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Publication:2185602
DOI10.1016/j.neunet.2019.05.016zbMath1443.93056OpenAlexW2947720592WikidataQ92490577 ScholiaQ92490577MaRDI QIDQ2185602
Chongyang Chen, Song Zhu, Yongchang Wei
Publication date: 5 June 2020
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2019.05.016
Related Items (9)
Reachable set bounding for neural networks with mixed delays: reciprocally convex approach ⋮ Controller design for finite-time attractive and energy consumption of stochastic nonlinear systems ⋮ Tradeoff analysis between synchronization time and energy consumption for multi-layer networks ⋮ Trade off analysis between fixed-time stabilization and energy consumption of nonlinear neural networks ⋮ Comprehensive analysis of fixed-time stability and energy cost for delay neural networks ⋮ Hybrid deep learning controller for nonlinear systems based on adaptive learning rates ⋮ Tradeoff analysis between time cost and energy cost for fixed-time synchronization of discontinuous neural networks ⋮ Global exponential stability of delayed inertial competitive neural networks ⋮ Finite-time stabilization and energy consumption estimation for delayed neural networks with bounded activation function
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