Work

Radial Basis Neural Network for the Solution of Optimal Control Problems Via Simulink

Year: 2024

Type: article

Abstract: This study uses radial basis neural network to solve optimum control problems via simulink. Using Pontryaginí's principle, the optimal control problem's optimum system is constructed. MATLAB is used to simulate the optimality system and generate the simulink architecture for the trial value. A radial basis neural network is then used to train the system and produce the optimal solution. This approach's effectiveness is evaluated using a few control problems, and it is shown to be effective because of the reliable, accurate, and consistent results that are produced. The performance of this strategy is superior to that of other approaches.

Source: Turkish Journal of Computer and Mathematics Education (TURCOMAT)

DOI: 10.61841/turcomat.v15i2.14728

Authors: Samuel Adamu, OJO OLAMIPOSI Aduroja, Adewole M. Ajileye

Institutions: Nigerian Army University Biu, University of Ilesa

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4402133822

FWCI: 0.304

Cites: 20

Cited by: 2

Related to: 10