Evaluation of Nonlinear Model-Based Predictive Control Approaches Using Derivative-Free Optimization and FCC Neural Networks

Nonlinear control methods have been researched with the objective of improving performance of control loop systems. Among such control methods, nonlinear model-based predictive control (NMPC) strategies present significant importance, mainly due to explicit performance optimization and constraint ha...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of control, automation & electrical systems automation & electrical systems, 2017-10, Vol.28 (5), p.623-634
Hauptverfasser:	Negri, Gabriel H., Cavalca, Mariana S. M., de Oliveira, José, Araújo, Celso J. F., Celiberto, Luiz A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation Artificial neural networks Computer simulation Control Control and Systems Theory Control methods Electrical Engineering Engineering Mechatronics Neural networks Nonlinear control Optimization Predictive control Robotics Robotics and Automation Wastewater treatment
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!