Add to ORKGThis paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. Simulation examples are included to illustrate the performance and effectiveness of the proposed metho
This paper develops a genetic algorithm based design automation method for linear control systems. I...
This paper develops a genetic algorithm based design automation method for linear control systems. I...
This paper develops a reusable computing paradigm based on genetic algorithms to transform the "...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
The optimization of nonlinear controller parameters by Genetic Algorithm (GA) is explored in this p...
The optimization of nonlinear controller parameters by Genetic Algorithm (GA) is explored in this p...
The optimisation of nonlinear controller parameters by genetic algorithm (GA) is explored in this pa...
Based on genetic algorithms, we propose a practical design method for robust nonlinear controllers o...
This paper presents Genetic-based learning Algorithms (GA) for automatically inducing control rules ...
Both in the design of dynamical systems, ranging from control systems to state estimators as in the ...
The use of genetic algorithms and genetic programming in control engineering has started to expand i...
Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms ca...
Kajian ini mengemukakan kaedah pembelajaran rangkaian neural (NN) pelbilang lapisan dengan menggunak...
This paper develops a genetic algorithm based design automation method for linear control systems. I...
This paper develops a genetic algorithm based design automation method for linear control systems. I...
This paper develops a reusable computing paradigm based on genetic algorithms to transform the "...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
This paper introduces a new method for the control of nonlinear systems using genetic algorithms. Th...
The optimization of nonlinear controller parameters by Genetic Algorithm (GA) is explored in this p...
The optimization of nonlinear controller parameters by Genetic Algorithm (GA) is explored in this p...
The optimisation of nonlinear controller parameters by genetic algorithm (GA) is explored in this pa...
Based on genetic algorithms, we propose a practical design method for robust nonlinear controllers o...
This paper presents Genetic-based learning Algorithms (GA) for automatically inducing control rules ...
Both in the design of dynamical systems, ranging from control systems to state estimators as in the ...
The use of genetic algorithms and genetic programming in control engineering has started to expand i...
Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms ca...
Kajian ini mengemukakan kaedah pembelajaran rangkaian neural (NN) pelbilang lapisan dengan menggunak...
This paper develops a genetic algorithm based design automation method for linear control systems. I...
This paper develops a genetic algorithm based design automation method for linear control systems. I...
This paper develops a reusable computing paradigm based on genetic algorithms to transform the "...