International audienceThis paper proposes to shed a new light on the μ-synthesis problem using the differential evolution algorithm. This algorithm allows optimizing simultaneously the structured controller and the dynamic (or static) D-scalings, which leads to robust performance controllers. This method has been applied successfully to a classical flexible plant control problem. A comparison between the evolutionary approach and the non-smooth optimization one has been envisaged proving the high potential of the proposed method
The application of Differential Evolution (DE) to the task of PID controller optimization is explore...
The optimal control problem with phase constraints is considered. A new indirect approach of synthes...
Differential evolution (DE) algorithm has been shown to be a simple and efficient evolutionary algor...
International audienceThis paper proposes to shed a new light on the μ-synthesis problem using the d...
International audienceThis paper proposes an efficient evolutionary approach to the fixed-order and ...
International audienceThis paper proposes to revisit the μ-synthesis problem with a recent and effic...
evolutionary algorithms. The contribution describes an application of the algebraic μ-synthesis meth...
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimi...
Many methods for solving optimal control problems, whether direct or indirect, rely upon gradient in...
The Differential Evolution algorithm, like other evolutionary techniques, presents as main disadvant...
This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control pr...
Two approaches to the numerical solution of the optimal control problem are studied. The direct appr...
This paper covers the design of an Evolutionary Algorithm (EA), which should be able to synthesize a...
Abstract-Genetic algorithms provide a straightforward technique for the synthesis of optimal control...
Abstract—Differential evolution (DE) has been shown to be a simple and effective evolutionary algori...
The application of Differential Evolution (DE) to the task of PID controller optimization is explore...
The optimal control problem with phase constraints is considered. A new indirect approach of synthes...
Differential evolution (DE) algorithm has been shown to be a simple and efficient evolutionary algor...
International audienceThis paper proposes to shed a new light on the μ-synthesis problem using the d...
International audienceThis paper proposes an efficient evolutionary approach to the fixed-order and ...
International audienceThis paper proposes to revisit the μ-synthesis problem with a recent and effic...
evolutionary algorithms. The contribution describes an application of the algebraic μ-synthesis meth...
In this paper, we describe the use of an evolutionary algorithm (EA) to solve dynamic control optimi...
Many methods for solving optimal control problems, whether direct or indirect, rely upon gradient in...
The Differential Evolution algorithm, like other evolutionary techniques, presents as main disadvant...
This paper presents a nonsmooth optimization technique for solving a special mu-synthesis control pr...
Two approaches to the numerical solution of the optimal control problem are studied. The direct appr...
This paper covers the design of an Evolutionary Algorithm (EA), which should be able to synthesize a...
Abstract-Genetic algorithms provide a straightforward technique for the synthesis of optimal control...
Abstract—Differential evolution (DE) has been shown to be a simple and effective evolutionary algori...
The application of Differential Evolution (DE) to the task of PID controller optimization is explore...
The optimal control problem with phase constraints is considered. A new indirect approach of synthes...
Differential evolution (DE) algorithm has been shown to be a simple and efficient evolutionary algor...