Journal ArticleDOI
A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control
Tong Wang,Huijun Gao,Jianbin Qiu +2 more
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TLDR
Considering the dynamics of the overall closed-loop system, nonlinear model predictive control method is proposed to guarantee the system stability and compensate the network-induced delays and packet dropouts and to demonstrate the effectiveness of the proposed method.Abstract:
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 that the outputs of subsystems at device layer can track the decomposed setpoints. Then, the outputs and inputs of the device layer subsystems are sampled with sampling period $T_{u}$ at operation layer to form the index prediction, which is used to predict the overall performance index at lower frequency. Radial basis function NN is utilized as the prediction function due to its approximation ability. Then, considering the dynamics of the overall closed-loop system, nonlinear model predictive control method is proposed to guarantee the system stability and compensate the network-induced delays and packet dropouts. Finally, a continuous stirred tank reactor system is given in the simulation part to demonstrate the effectiveness of the proposed method.read more
Citations
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An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
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Observer-based adaptive sliding mode control for nonlinear Markovian jump systems
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Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints
TL;DR: In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state constraints, an adaptive neural network control method is investigated and it is proved that all the signals in the closed-loop system are semiglobal uniformly ultimately bounded and the output is well driven to follow the desired output.
Journal ArticleDOI
Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
TL;DR: An adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint is presented, and the simulation results reveal the effectiveness of the proposed approach.
Journal ArticleDOI
Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation
TL;DR: In this paper, a hybrid fuzzy adaptive output feedback control design approach is proposed for a class of multiinput and multioutput strict-feedback nonlinear systems with unknown time-varying delays, unmeasured states, and input saturation.
References
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Survey Constrained model predictive control: Stability and optimality
TL;DR: This review focuses on model predictive control of constrained systems, both linear and nonlinear, and distill from an extensive literature essential principles that ensure stability to present a concise characterization of most of the model predictive controllers that have been proposed in the literature.
Journal ArticleDOI
A survey of industrial model predictive control technology
S. Joe Qin,Thomas A. Badgwell +1 more
TL;DR: An overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors, is provided in this article, where a brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control and identification technology.
Nonlinear And Adaptive Control Design
TL;DR: Nonlinear Control Design: Geometric, Adaptive and Robust ... 1.2.3 Adaptive control as dynamic nonlinear feedback 1.1.4 Lyapunov-based design Adaptive Nonlinear Control.
Journal ArticleDOI
A new delay system approach to network-based control
TL;DR: A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
Journal ArticleDOI
Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses
TL;DR: In this paper, an observer-based feedback controller is designed to robustly exponentially stabilize the networked system in the sense of mean square and also achieve the prescribed Hinfin disturbance-rejection-attenuation level.