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This article presents a new approach of systematic determination of models base for the multimodel approach. The application of this approach requires, first, to classify a numeric data by exploiting the self-adapting artificial Kohonen neural-networks. The obtained data relative to the clusters are then exploited for both structural and parametric(More)
—In this paper, we consider the control of time delay system by Proportional-Integral (PI) controller. By Using the Hermite-Biehler theorem, which is applicable to quasi-polynomials, we seek a stability region of the controller for first order delay systems. The essence of this work resides in the extension of this approach to second order delay system, in(More)
— This paper is concerned with a proportional plus derivative (PD) state feedback control problem for discrete and continuous descriptor linear systems. We aim to design a (PD) state feedback controller which guarantees the stability of closed-loop system. The existence of such a controller is determined by developing a necessary and sufficient condition in(More)
In this paper, a linear quadratic optimal control problem for linear descriptor systems is investigated. The optimal control is synthesized as derivative state feedback which guarantees that the closed loop system is stable and that minimizes quadratic criteria expressed a performance level. The steady state derivative feedback optimal gain can be computed(More)
In this paper, we propose an online continuous identification technique of first-order plus dead time (FOPDT) using typical inputs. The impulse test is assessed at the beginning to deduce the basis of the identification algorithm, due to its uncomplicated physical interpretation. The remaining typical test signals are then inferred easily. These test(More)
This paper provides a technique for admissibilization of linear descriptor systems by state derivative feedback. Sufficient conditions are derived for the closed-loop system to be admissible are given in terms of linear matrix inequalities (LMIs). So, these conditions are reliable using numerical computations. An explicit expression of the desired(More)
Neural network (NN) modelling approach is often used for non-linear system identification. Building a NN for some identification problem starts by choosing its structure and initial weights. There is no exact method to determine the optimal initialisation for a NN, but some authors have used support vector regression (SVR) to initialise a RBFNN which could(More)
The evaluation of validities is a fundamental step in the design of the multimodel approach. Indeed, it is thanks to validities that we estimate the contribution of each base-model in the reproduction of the behavior of the global process in a given operating area. These coefficients are calculated most commonly by the approach of the residues formulated by(More)
This paper adopts the adaptive neural internal model control strategy to design a control system for complex and uncertain process with delay. Because of the shortage of the classic internal model control system the performance of the control system will slip back if there exist large errors between the real plant and the model, an adaptive mechanism based(More)