A New Method for Generating Nonlinear Correction Models of Dynamic Objects Based on Semantic Genetic Programming
| Autor: | Alexander I. Galushkin, Łukasz Bartczuk |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Computer science Linear model Genetic programming 02 engineering and technology Fuzzy control system Object (computer science) Nonlinear system 020901 industrial engineering & automation Operator (computer programming) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Gene expression programming Algorithm |
| Zdroj: | Artificial Intelligence and Soft Computing ISBN: 9783319393834 ICAISC (2) |
| DOI: | 10.1007/978-3-319-39384-1_22 |
| Popis: | The purpose of nonlinear correction modelling of dynamic object is to use an approximated linear model of an object and determine corrections of this model in an appropriate way, taking into account the specificity of modelled nonlinearity. In this paper a new method for generating the coefficients of correction matrices is proposed. This method uses a mathematical formulas determined automatically by the Gene Expression Programming algorithm extended by semantic operator. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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