On Exponential Convergence Conditions of an Extended Projection Neural Network

DOI10.1162/NECO.2008.10-06-389zbMath1168.68505OpenAlexW2029979348WikidataQ51887694 ScholiaQ51887694MaRDI QIDQ3519232

Youshen Xia, Dongyi Ye

Publication date: 13 August 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2008.10-06-389

zbMATH Keywords

constrained monotone variational inequality

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A Novel Recurrent Neural Network with Finite-Time Convergence for Linear Programming

Cites Work

• On the global output convergence of a class of recurrent neural networks with time-varying inputs
• Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications
• Dynamical systems and variational inequalities
• Engineering and Economic Applications of Complementarity Problems
• An Extended Projection Neural Network for Constrained Optimization
• Adaptive observers with arbitrary exponential rate of convergence for nonlinear systems
• Dynamic Systems, Variational Inequalities and Control Theoretic Models for Predicting Time-Varying Urban Network Flows
• Development and Analysis of a Neural Dynamical Approach to Nonlinear Programming Problems

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