A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control

• Published in: IEEE transaction on neural networks and learning systems Vol. 27; no. 2; pp. 416 - 425
• Main Authors: Wang, Tong, Gao, Huijun, Qiu, Jianbin
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive neural networks (NNs); Adaptive systems; Artificial neural networks; Computer simulation; Delays; Devices; Dynamical systems; Indexes; industrial processes; Mathematical models; multirate sampling; networked control systems (NCSs); Neural networks; Nonlinear dynamics; nonlinear model predictive control (NMPC); Nonlinear systems; Nonlinearity; Performance analysis; Process control; Sampling; Systems stability; nonlinear model predictive control (NMPC); multirate sampling; Adaptive neural networks (NNs); networked control systems (NCSs); industrial processes

This paper investigates the multirate networked industrial process control problem in double-layer architecture. First, the output tracking problem for sampled-data nonlinear plant at device layer with sampling period T d is investigated using adaptive neural network (NN) control, and it is shown th...