Nonlinear Interacting System with Neuro-PID Controller

In this paper, a control methodology for nonlinear interacting system is developed, in which the PID controller is implemented by neural networks trained by mean square error (MSE) criterion. The mean square error can be estimated recursively by utilizing receding horizon window technique. The measu...

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Bibliographische Detailangaben

Veröffentlicht in:	Applied Mechanics and Materials 2014-06, Vol.573 (Advancements in Automation and Control Technologies), p.229-234
Hauptverfasser:	Ravi, V.R., T, Thyagarajan, Darsana, U.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Control systems Dynamical systems Dynamics Errors Mean square values Nonlinear dynamics Nonlinearity
Online-Zugang:	Volltext
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