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Książka = Book ; KS/3/2005/R14P03
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[4], 21-30 stron ; 21 cm ; Bibliografia s. 30
Nonlinear processes are difficult to control because there can be so many variations of the nonlinear behavior. Traditionally, a nonlinear process has to be linearized first before an automatic controller can be effectively applied. This is typically achieved by adding a reverse nonlinear function to compensate for the nonlinear behavior so the overall proces input-output relationship becomes somewhat linear. The adaptive systems are best handled with methods of computational intelligence such as neural networks and fuzzy systems. This presentation will focus on severa! methods of developing close to optima! architectures and on finding efficient learning algorithms. The problem becomes even more complex if the methods of computational intelligence have to be implemented in hardware. V arious practical solutions will be presented and compared.
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
Oct 15, 2021
Feb 1, 2021
0
https://rcin.org.pl./publication/193098