Add to ORKG[[abstract]]The paper proposes a fuzzy control method with a real-time genetic algorithm for an uncertain DC server motor with a Buck converter. The parameters of the fuzzy system are online adjusted by the real-time genetic algorithm in order to generate appropriate control input. For the purpose of on-line evaluating the stability of the closed-loop system, an energy fitness function derived from backstepping technique is involved in the genetic algorithm. According to the experimental results, the genetic fuzzy control scheme performs on-line tracking successfully.
This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodolog...
Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms ca...
This paper implements and compares Fuzzy-GA Direct Torque Control of AC drive with a fuzzy logic sta...
[[abstract]]A controller of uncertain DC server motor is presented by using the fuzzy system with a ...
The paper describes a new proposed algorithm to automatically tune a Fuzzy Logic Controller by using...
Evolutionary algorithms are applied to the on- line generation of servo-motor control systems. In th...
Performing control is necessary for processes where a variable needs to be regulated. Even though co...
Type-2 fuzzy logic systems have recently been utilized in many control processes due to their abilit...
Abstract:- This paper presents an approach for the design of fuzzy logic power system stabilizers us...
This paper examines the development of a genetic adaptive fuzzy control system for the Inverted Pend...
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy l...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
This article proposes a stable fuzzy system (FS) optimized by genetic algorithm (GA). The FS uses GA...
This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic...
Servomotor uses feedback controller to control the speed or the position, or both. Typically, the PI...
This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodolog...
Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms ca...
This paper implements and compares Fuzzy-GA Direct Torque Control of AC drive with a fuzzy logic sta...
[[abstract]]A controller of uncertain DC server motor is presented by using the fuzzy system with a ...
The paper describes a new proposed algorithm to automatically tune a Fuzzy Logic Controller by using...
Evolutionary algorithms are applied to the on- line generation of servo-motor control systems. In th...
Performing control is necessary for processes where a variable needs to be regulated. Even though co...
Type-2 fuzzy logic systems have recently been utilized in many control processes due to their abilit...
Abstract:- This paper presents an approach for the design of fuzzy logic power system stabilizers us...
This paper examines the development of a genetic adaptive fuzzy control system for the Inverted Pend...
This thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy l...
This paper provides an overview on evolutionary learning methods for the automated design and optimi...
This article proposes a stable fuzzy system (FS) optimized by genetic algorithm (GA). The FS uses GA...
This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic...
Servomotor uses feedback controller to control the speed or the position, or both. Typically, the PI...
This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodolog...
Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms ca...
This paper implements and compares Fuzzy-GA Direct Torque Control of AC drive with a fuzzy logic sta...