A new computational approach for optimal control problems with multiple time-delay
D Wu, Y Bai, C Yu - Automatica, 2019 - Elsevier
The control parameterization method used together with the time-scaling transformation is
an effective approach to approximating optimal control problems into optimal parameter …
an effective approach to approximating optimal control problems into optimal parameter …
Time-scaling transformation for optimal control problem with time-varying delay.
D Wu, Y Bai, F **e - Discrete & Continuous Dynamical …, 2020 - search.ebscohost.com
This paper focuses on the solution to nonlinear time-delay optimal control problems with
time-varying delay subject to canonical equality and inequality constraints. Traditional …
time-varying delay subject to canonical equality and inequality constraints. Traditional …
The approximate solution of non-linear time-delay fractional optimal control problems by embedding process
E Ziaei, MH Farahi - IMA Journal of Mathematical Control and …, 2019 - academic.oup.com
In this paper, a class of time-delay fractional optimal control problems (TDFOCPs) is studied.
Delays may appear in state or control (or both) functions. By an embedding process and …
Delays may appear in state or control (or both) functions. By an embedding process and …
A class of nonlinear optimal control problems governed by Fredholm integro-differential equations with delay
HR Marzban, M Rostami Ashani - International Journal of Control, 2020 - Taylor & Francis
This paper introduces an efficient numerical scheme for solving a significant class of
nonlinear delay optimal control problem governed by Fredholm integro-differential …
nonlinear delay optimal control problem governed by Fredholm integro-differential …
A novel approach for the numerical investigation of optimal control problems containing multiple delays
HR Marzban, H Pirmoradian - Optimal Control Applications and …, 2018 - Wiley Online Library
This paper deals with the numerical solution of optimal control problems with multiple delays
in both state and control variables. A direct approach based on a hybrid of block‐pulse …
in both state and control variables. A direct approach based on a hybrid of block‐pulse …
Hybrid functions direct approach and state feedback optimal solutions for a class of nonlinear polynomial time delay systems
MK Bouafoura, N Benhadj Braiek - Complexity, 2019 - Wiley Online Library
The aim of this paper is to determine the optimal open loop solution and a nonlinear delay‐
dependent state feedback suboptimal control for a class of nonlinear polynomial time delay …
dependent state feedback suboptimal control for a class of nonlinear polynomial time delay …
Numerical solution of time delay optimal control problems by hybrid of block-pulse functions and Bernstein polynomials
Optimal control problems for a class of time delay systems with quadratic performance index
are studied. By approximating various time functions in the systems as their truncated hybrid …
are studied. By approximating various time functions in the systems as their truncated hybrid …
The time-scaling transformation technique for optimal control problems with time-varying time-delay switched systems
N Zhang, CJ Yu, FS **e - Journal of the Operations Research Society of …, 2020 - Springer
In this paper, we consider a class of optimal control problems where the dynamical systems
are time-delay switched systems with the delay being a function of time. By applying the …
are time-delay switched systems with the delay being a function of time. By applying the …
Suboptimal control synthesis for state and input delayed quadratic systems
MK Bouafoura… - Proceedings of the …, 2022 - journals.sagepub.com
In this article a suboptimal linear-state feedback controller for multi-delay quadratic system is
investigated. Optimal state and input coefficients resulting from the expansion over a hybrid …
investigated. Optimal state and input coefficients resulting from the expansion over a hybrid …
Legendre cooperative PSO strategies for trajectory optimization
L Liu, Y Wang, F **e, J Gao - Complexity, 2018 - Wiley Online Library
Particle swarm optimization (PSO) is a population‐based stochastic optimization technique
in a smooth search space. However, in a category of trajectory optimization problem with …
in a smooth search space. However, in a category of trajectory optimization problem with …