Open Access
Constrained Predictive Control using Fuzzy Models
Jairo Espinosa,Joos Vandewalle +1 more
- 01 Jan 1999
pp 649-654
6
TL;DR: New ideas about the estimation of the parameters needed to construct the QP are presented, making the solution of this QP very close to the \optimal" solution of the original Non-linear Quadratic Optimization problem.
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Abstract: Simulation and The scientiic responsibility is assumed by its authors. Abstract The current paper presents two algorithms to solve the problem of Nonlinear Predic-tive Control in the presence of constraints. In this case the nonlinear mols are fuzzy systems. Both algorithms reduce the original and complex nonlinear quadratic optimization problem into a Quadratic Program (QP). The rst algorithm exploits the structure of the Takagi Sugeno fuzzy models and the second is a generic algorithm applicable to any kind of nonlinear model. The paper presents new ideas about the estimation of the parameters needed to construct the QP, making the solution of this QP very close to the \optimal" solution of the original Non-linear Quadratic Optimization problem.
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Citations
The use of convex programming on fuzzy model based predictive control
Jairo Espinosa,Joos Vandewalle +1 more
- 01 Jan 1999
TL;DR: The paper shows how the Takagi-Sugeno description of a fuzzy model can be very efficient to formulate the uncertainties and explains how a robust model predictive control strategy can be formulated by using this formulation.
5
Nonlinear predictive control using fuzzy models and semidefinite programming
Jairo Espinosa,Joos Vandewalle +1 more
- 01 Jan 1999
TL;DR: The paper presents the first steps towards a theory to build robust nonlinear predictive control based on fuzzy models to write the predictive control problem as a robust optimization problem and apply semidefinite programming to solve the optimization in an efficient way.
3
GPCs en espacio de estados para el control de sistemas no lineales.
Salcedo Romero de Ávila,José Vicente +1 more
- 06 May 2011
TL;DR: In this article, a metodologia de diseno robusto for the modelo CARIMA in the version entrada/salida (E/S) is presented.
GPC mediante descomposición en valores singulares (SVD). Análisis de componentes principales (PCA) y criterios de selección.
Javier Sanchís Saez
- 06 May 2011
TL;DR: In this paper, a model predictive control (MPC) is defined as a set of ideas or caracteristicas for the desarrollo of estrategias de control that, aplicadas in un mayor or menor grado, dan lugar a diferentes tipos of controladores with estructuras similares.
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