Distributed \(k\)-winners-take-all via multiple neural networks with inertia

Cites Work

Unnamed Item
Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment
Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems
On a conjecture concerning spanning tree invariants and loop systems
Continuous dynamics related to monotone inclusions and non-smooth optimization problems
A class of finite-time dual neural networks for solving quadratic programming problems and its \(k\)-winners-take-all application
A novel neural dynamical approach to convex quadratic program and its efficient applications
Asymptotic stabilization of inertial gradient dynamics with time-dependent viscosity
Two \(k\)-winners-take-all networks with discontinuous activation functions
Analysis and design of a distributed \(k\)-winners-take-all model
Distributed Winner-Take-All in Dynamic Networks
Stable computational dynamics for a class of circuits with O(N) interconnections capable of KWTA and rank extractions
A Second Order Dynamical System and Its Discretization for Strongly Pseudo-monotone Variational Inequalities
Adaptive Exact Penalty Design for Constrained Distributed Optimization
A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization
Convex analysis and monotone operator theory in Hilbert spaces
KI 2003: Advances in Artificial Intelligence
A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems
A second-order accelerated neurodynamic approach for distributed convex optimization

This page was built for publication: Distributed \(k\)-winners-take-all via multiple neural networks with inertia