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Publications (8)
In this paper, a new robust model predictive control (RMPC) is proposed for uncertain nonlinear systems. The nonlinear behavior is described by uncertain piecewise affine models, where the parametric uncertainties are considered time varying with norm-bounded structure. The proposed control scheme consists of two steps. First, a proportional gain o...
This paper concerns the identification of a transesterification reactor using PWARX (PieceWise AutoRegressive eXogenous) hybrid systems. The OBE (Outer Bounding Ellipsoid) algorithm is then applied in order to estimate the parameters for each sub-system. This algorithm is used for system identification when bounded disturbances are present. This pa...
In this paper, the problem of hybrid model predictive control (HMPC) strategy based on fuzzy supervisor for piecewise autoregressive with exogenous input (PWARX) models is addressed. We first represent the nonlinear behavior of the system with a PWARX model. Then, we transform the obtained PWARX model into a mixed logical dynamic (MLD) model in ord...
Dans ce travail, on s’intéresse à la stratégie de commande prédictive MPC (Model Predictive Control) appliquée aux systèmes hybrides. C’est une méthode qui a connu un grand succès pour la commande des procédés industriels et largement appliquée avec des dynamiques linéaires ou non linéaires [55, 100]. Sa popularité est liée à la capacité d’exiger d...
This work focus on practical implementation of remote control. Adaptive and internal model control (IMC) strategies have been adopted. Thus, the adaptive auto-adjustable controller is based on pole placement control method and the hierarchical identification strategy. Bluetooth has been used as wireless communication protocol. Practical results for...
This paper deals with the problem of nonlinear systems control. In fact, we propose an alternative solution based on Piecewise AutoRegressive with eXogenous input (PWARX)
model, Hybrid Model Predictive Control (HMPC) strategy and fuzzy supervisor. The contribution consists in introducing a fuzzy supervisor allowing the online readjustment of the HM...
In this paper, a nonlinear hybrid system predictive control approach is developped. Hybrid process identification is based on PieceWise AutoRegressive eXogenous (PWARX) models. The identificaion problem deals with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. Model Predictive Control (MPC) strategy is based on Mixe...
