Approximate solutions of fuzzy optimal control problems using sigmoid-weighted neural networks

DOI10.1007/S00500-020-05534-YzbMath1498.93390OpenAlexW3124365225MaRDI QIDQ2099937

Saeed Panahian Fard, Jafar Pouramini, Rahim Pourabbas

Publication date: 21 November 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-020-05534-y

zbMATH Keywords

approximate solutionssystem of ordinary differential equationsfuzzy Hamiltonian control systemfuzzy optimal control problemsigmoid-weighted neural networks

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (2)

An application of control theory for imperfect production problem with carbon emission investment policy in interval environment ⋮ An investigation of approximate solutions for second order ordinary differential equations using sigmoid-weighted neural networks

Cites Work

• Unnamed Item
• The universal approximation capabilities of double \(2\pi\)-periodic approximate identity neural networks
• Optimal control based on the variational iteration method
• A necessary condition of Pontryagin type for fuzzy control systems
• Fuzzy optimal control
• An approximate method for solving a class of nonlinear optimal control problems
• A Novel Successive Approximation Method for Solving a Class of Optimal Control Problems

This page was built for publication: Approximate solutions of fuzzy optimal control problems using sigmoid-weighted neural networks