Title :
A robust nonlinear predictive control with neural network compensator
Author :
Zhu, K.Y. ; Qin, X.-F.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
A novel robust predictive control for a class of nonlinear systems is presented. System uncertainties and especially the nonlinear actors are identified by a neural network, which is then compensated in the control algorithm such that the resulting closed-loop control system is less sensitive to the nonlinearity and model uncertainties
Keywords :
closed loop systems; compensation; control system synthesis; neurocontrollers; nonlinear control systems; predictive control; robust control; closed-loop control system; model uncertainties; neural network compensator; nonlinear actors; nonlinearity; robust nonlinear predictive control; system uncertainties; Computational modeling; Control systems; Equations; Neural networks; Nonlinear control systems; Nonlinear systems; Polynomials; Predictive control; Robust control; Uncertainty;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577245
