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Parallel Model Predictive Control of Nonlinear Time-delay Systems Based on Recurrent Neural Network

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2 Author(s)
Dongqing Wang ; Qingdao Univ., Qingdao ; Shuhua Xu

With regards to the nonlinear time-delay systems, d-step-ahead predictive model of neural network predictive control is adopted. This paper realizes the RTRL (real time recurrent learning) algorithm of parallel model of neural network predictive control for nonlinear time-delay systems for the first time. It describes advantages of RTRL algorithm of parallel model, compared with BP algorithm of series-parallel model. Simulation verified that RTRL algorithm of parallel model is better than BP algorithm of series-parallel model in performance and in disturbance rejection.

Published in:

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Date of Conference:

6-8 April 2008