Convergence Analysis and Digital Implementation of a Discrete-Time Neural Network for Model Predictive Control

In this paper, a discrete-time neural network for solving convex quadratic programming (QP) problems in constrained model predictive control (MPC) technology is investigated and implemented on a digital signal processor (DSP) device. This makes it possible to apply MPC technology to local control fo...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) 2014-12, Vol.61 (12), p.7035-7045
Hauptverfasser:	Lu, Yang, Li, Dewei, Xu, Zuhua, Xi, Yugeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Control systems Convergence Design engineering Digital Digital signal processing Digital signal processors Mathematical models Neural networks Predictive control Quadratic programming
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