Abstrac:.- In this work, an approach based on Genetic Programming is proposed for the input-output systems identification problem. Laguerre's functions and the ARX method have been commonly used to solve the systems identification problem. Recently, approaches based on Artificial Neural Networks have been used to solve this problem. Genetic Programming is an Evolutionary Computation technique based on the evolution of mathematical symbols (constant, functions, variables, operators, etc.). To achieve the identification, a set of analysis trees is used to describe the different models (individuals) that our approach proposes during its execution. At the end of the evolutionary process, an input-output model of the system is propo ed by o...
. This paper proposes a method which identifies unknown systems using fuzzy-rule based models(fuzzy ...
Genetic programming can be used for structural optimisation. Combined with a hybrid simplex/simulate...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...
In recent years, applied researchers have become increasingly interested in Adaptive Search (AS), te...
A problem of structural-parametric control systems identification is considered. The method of genet...
In order to use existing identification tools effectively, a user must make critical choices a prior...
In recent years, applied researchers have become increasingly interested in Adaptive Search (AS), te...
The nonlinear systems identification method described in the paper is based on genetic programming, ...
Linear in parameter models are quite widespread in process engineering, e.g. NAARX, polynomial ARMA ...
Genetic programming can be used to eveolve an algebraic expression as part of an equation representi...
This paper presents an investigation into the development of system identification using the artific...
This paper points out how combined Genetic Programming techniques can be applied to the identificati...
Genetic programming (GP) is applied to a multobjective optimisation problem and the advantages of ...
This paper develops a genetic algorithm based technique that may be used to identify multivariable s...
The main objective of this paper is to investigate efficiency and correctness of different real-code...
. This paper proposes a method which identifies unknown systems using fuzzy-rule based models(fuzzy ...
Genetic programming can be used for structural optimisation. Combined with a hybrid simplex/simulate...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...
In recent years, applied researchers have become increasingly interested in Adaptive Search (AS), te...
A problem of structural-parametric control systems identification is considered. The method of genet...
In order to use existing identification tools effectively, a user must make critical choices a prior...
In recent years, applied researchers have become increasingly interested in Adaptive Search (AS), te...
The nonlinear systems identification method described in the paper is based on genetic programming, ...
Linear in parameter models are quite widespread in process engineering, e.g. NAARX, polynomial ARMA ...
Genetic programming can be used to eveolve an algebraic expression as part of an equation representi...
This paper presents an investigation into the development of system identification using the artific...
This paper points out how combined Genetic Programming techniques can be applied to the identificati...
Genetic programming (GP) is applied to a multobjective optimisation problem and the advantages of ...
This paper develops a genetic algorithm based technique that may be used to identify multivariable s...
The main objective of this paper is to investigate efficiency and correctness of different real-code...
. This paper proposes a method which identifies unknown systems using fuzzy-rule based models(fuzzy ...
Genetic programming can be used for structural optimisation. Combined with a hybrid simplex/simulate...
: The recently developed genetic programming paradigm provides a way to genetically breed a computer...