Synthesis of a multivariable nonlinear predictive control based on 2nd order MISO-GOB-Volterra model

2021 ◽  
Author(s):  
Tarek Garna ◽  
Hassani Messaoud
Keyword(s):  
Predictive Control ◽  
Volterra Model ◽  
Nonlinear Predictive Control

Constrained predictive control of a SISO nonlinear system based on third-order S-PARAFAC Volterra models

2016 ◽  
Vol 39 (6) ◽  
pp. 907-920 ◽  
Author(s):  
Anis Khouaja ◽  
Tarek Garna ◽  
José Ragot ◽  
Hassani Messaoud
Keyword(s):  
Predictive Control ◽  
Tensor Decomposition ◽  
Nonlinear Process ◽  
Volterra Model ◽  
Continuous Stirred Tank Reactor ◽  
Third Order ◽  
Control Approach ◽  
Nonlinear Predictive Control ◽  
Proposed Model ◽  
Linear And Nonlinear Constraints

This paper is concerned with the identification and nonlinear predictive control approach for a nonlinear process based on a third-order reduced complexity, discrete-time Volterra model called the third-order S-PARAFAC Volterra model. The proposed model is given using the PARAFAC tensor decomposition that provides a parametric reduction compared with the conventional Volterra model. In addition, the symmetry property of the Volterra kernels allows us to further reduce the complexity of the model. These properties allow synthesizing a nonlinear model-based predictive control (NMBPC). Then we construct the general form of a new predictor and we propose an optimization algorithm formulated as a quadratic programming (QP) algorithm under linear and nonlinear constraints. The performance of the proposed third-order S-PARAFAC Volterra model and the developed NMBPC algorithm are illustrated on a numerical simulation and validated on a benchmark such as a continuous stirred-tank reactor system.

scholarly journals Optimal Harvesting Effort for Nonlinear Predictive Control Model for a Single Species Fishery

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Messaoud Bounkhel ◽  
Lotfi Tadj
Keyword(s):  
Predictive Control ◽  
Renewable Resource ◽  
Single Species ◽  
State Equation ◽  
Control Model ◽  
Optimal Harvesting ◽  
Solution Approach ◽  
Nonlinear Predictive Control ◽  
Nonlinear State ◽  
Resource System

We use nonlinear model predictive control to find the optimal harvesting effort of a renewable resource system with a nonlinear state equation that maximizes a nonlinear profit function. A solution approach is proposed and discussed and satisfactory numerical illustrations are provided.

A STABILISING NONLINEAR PREDICTIVE CONTROL STRATEGY

2007 ◽  
Vol 40 (12) ◽  
pp. 216-221 ◽  
Author(s):  
Smaranda Cristea ◽  
César de Prada
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Nonlinear Predictive Control

A Nonlinear Predictive Control for Optimal Grade Transition of Polymerization Reactors

2000 ◽  
Vol 33 (10) ◽  
pp. 701-706 ◽  
Author(s):  
Y. Wang ◽  
M. Ohshima ◽  
H. Seki ◽  
S. Ooyama ◽  
K. Akamatsu ◽  
...  
Keyword(s):  
Predictive Control ◽  
Grade Transition ◽  
Nonlinear Predictive Control
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