A varying-parameter fixed-time gradient-based dynamic network for convex optimization
From MaRDI portal
Publication:6091316
DOI10.1016/j.neunet.2023.08.047zbMath1528.90062OpenAlexW4386475655MaRDI QIDQ6091316
No author found.
Publication date: 24 November 2023
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2023.08.047
activation functionfixed-time convergenceunbounded noisegradient-based dynamic networktime-varying scaling parameter
Cites Work
- Neural network for constrained nonsmooth optimization using Tikhonov regularization
- A class of finite-time dual neural networks for solving quadratic programming problems and its \(k\)-winners-take-all application
- ``Neural computation of decisions in optimization problems
- Exact penalty functions in proximal bundle methods for constrained convex nondifferentiable minimization
- Neural network for nonsmooth pseudoconvex optimization with general convex constraints
- Tilt Stability of a Local Minimum
- A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality
- Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
- Positive Definite Matrices
- Varying-parameter Zhang neural network for approximating some expressions involving outer inverses
- Recurrent neural networks for nonlinear output regulation
- Distributed Continuous-Time Algorithm for Time-Varying Optimization With Affine Formation Constraints
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item