Fitness Dependent Optimizer Based Computational Technique for Solving Optimal Control Problems of Nonlinear Dynamical Systems

Fitness Dependent Optimizer Based Computational Technique for Solving Optimal Control Problems of Nonlinear Dynamical Systems

This paper presents a pragmatic approach established on the hybridization of nature-inspired optimization algorithms and Bernstein Polynomials (BPs), achieving the optimum numeric solution for Nonlinear Optimal Control Problems (NOCPs) of dynamical systems. The approximated solution for NOCPs is obt...

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Bibliographic Details
Main Authors: Ghulam Fareed Laghari, Suheel Abdullah Malik, Irfan Ahmed Khan, Amil Daraz, Salman A. AlQahtani, Hayat Ullah
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bernstein polynomials
dynamical systems
fitness dependent optimizer
genetic algorithm
nonlinear optimal control problems
optimization problem
Online Access:https://ieeexplore.ieee.org/document/10103537/

Internet

https://ieeexplore.ieee.org/document/10103537/

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