Add to ORKGIn this paper we consider a modification of the standard type extremum seeking control for nonlinear systems. This method modifies amount of control by adding a PID acceleration term behind of an Low-pass filter. Parameters included in this PID-type Accelerator are suboptimally selected by using Genetic Algorithm(GA). Simulation results show that this modified extremum seeking control enables its operation to reach the maximum point swiftly
Natural evolution is mimicked by Genetic Algorithms (GAs) which is a stochastic global search method...
In this paper we consider a modification of standard type extremum seeking control for nonlinear ada...
In many applications, there is a variable that indicates the overall performance and that must be ma...
In this paper we consider a modification of the standard type extremum seeking control for nonlinear...
In this paper we consider a modification of the standard extremum seeking control for nonlinear syst...
This paper is concerned with an application of an extremum seeking control to electric power systems...
Extremum seeking control tracks a varying maximum or minimum in a performance function such as a cos...
In this paper we consider a modification of standard type extremum seeking control for nonlinear ada...
The work in this thesis describes our attempts for theoretical advancements to and the experimental ...
This paper presents an extension to the classical gradient-based extremum seeking control for the ca...
In this paper, we are concerned with the design and its simulation studies of a modified extremum se...
Abstract — We present a systematic approach for design of extremum seeking (ES) controllers for a cl...
In this paper we are concerned with a modified extremum seeking control for nonlinear systems. A sta...
Genetic Algorithms (GAs) are innovative search algorithms which imitate the principles of natural ev...
In many control applications, it is desirable to optimize the steady-state output of a plant, despit...
Natural evolution is mimicked by Genetic Algorithms (GAs) which is a stochastic global search method...
In this paper we consider a modification of standard type extremum seeking control for nonlinear ada...
In many applications, there is a variable that indicates the overall performance and that must be ma...
In this paper we consider a modification of the standard type extremum seeking control for nonlinear...
In this paper we consider a modification of the standard extremum seeking control for nonlinear syst...
This paper is concerned with an application of an extremum seeking control to electric power systems...
Extremum seeking control tracks a varying maximum or minimum in a performance function such as a cos...
In this paper we consider a modification of standard type extremum seeking control for nonlinear ada...
The work in this thesis describes our attempts for theoretical advancements to and the experimental ...
This paper presents an extension to the classical gradient-based extremum seeking control for the ca...
In this paper, we are concerned with the design and its simulation studies of a modified extremum se...
Abstract — We present a systematic approach for design of extremum seeking (ES) controllers for a cl...
In this paper we are concerned with a modified extremum seeking control for nonlinear systems. A sta...
Genetic Algorithms (GAs) are innovative search algorithms which imitate the principles of natural ev...
In many control applications, it is desirable to optimize the steady-state output of a plant, despit...
Natural evolution is mimicked by Genetic Algorithms (GAs) which is a stochastic global search method...
In this paper we consider a modification of standard type extremum seeking control for nonlinear ada...
In many applications, there is a variable that indicates the overall performance and that must be ma...