A direct method based on the Clenshaw-Curtis formula for fractional optimal control problems
DOI10.3934/mcrf.2019035zbMath1439.49054OpenAlexW2967615194WikidataQ127354221 ScholiaQ127354221MaRDI QIDQ2175620
Marzieh Habibli, Mohammad Hadi Noori Skandari, Alireza Nazemi
Publication date: 29 April 2020
Published in: Mathematical Control and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/mcrf.2019035
nonlinear programmingCaputo fractional derivativefractional optimal controlClenshaw-Curtis formulaChebyshev-Gauss-lobatto points
Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37) Fractional derivatives and integrals (26A33) Discrete approximations in optimal control (49M25)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A numerical technique for solving fractional optimal control problems
- A discrete method to solve fractional optimal control problems
- The Boubaker polynomials and their application to solve fractional optimal control problems
- Smoothing approach for a class of nonsmooth optimal control problems
- Tuning algorithms for fractional order internal model controllers for time delay processes
- Spectral Methods in MATLAB
- Optimal control of discrete-time linear fractional-order systems with multiplicative noise
- A numerical solution for fractional optimal control problems via Bernoulli polynomials
- An iterative approach for solving fractional optimal control problems
- Numerical solution of 2D fractional optimal control problems by the spectral method along with Bernstein operational matrix
- The generalised isodamping approach for robust fractional PID controllers design
- Solving fractional optimal control problems within a Chebyshev–Legendre operational technique
- Improving the position control of a two degrees of freedom robotic sensing antenna using fractional-order controllers
This page was built for publication: A direct method based on the Clenshaw-Curtis formula for fractional optimal control problems