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Dive into the research topics where Nima Yeganefar is active.

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Featured researches published by Nima Yeganefar.


Systems & Control Letters | 2008

Finite-time stability and stabilization of time-delay systems

Emmanuel Moulay; Michel Dambrine; Nima Yeganefar; Wilfrid Perruquetti

Finite-time stability and stabilization of retarded-type functional differential equations are developed. First, a theoretical result on finite-time stability inspired by the theory of differential equations, using Lyapunov functionals, is given. As it may appear not easily usable in practice, we show how to obtain finite-time stabilization of linear systems with delays in the input by using an extension of Artsteins model reduction to nonlinear feedback. With this approach, we give an explicit finite-time controller for scalar linear systems and for the chain of integrators with delays in the input.


IEEE Transactions on Automatic Control | 2013

Lyapunov Theory for 2-D Nonlinear Roesser Models: Application to Asymptotic and Exponential Stability

Nima Yeganefar; Nader Yeganefar; Mariem Ghamgui; Emmanuel Moulay

This technical note deals with a general class of discrete 2-D possibly nonlinear systems based on the Roesser model. We first motivate the introduction of Lyapunov type definitions of asymptotic and exponential stability. This will allow us to introduce and discuss several particularities that cannot be found in 1-D systems. Once this background has been carefully designed, we develop different Lyapunov theorems in order to check asymptotic and exponential stability of nonlinear 2-D systems. Finally we propose the first converse Lyapunov theorem in the case of exponential stability.


IEEE Transactions on Automatic Control | 2008

Input-to-State Stability of Time-Delay Systems: A Link With Exponential Stability

Nima Yeganefar; Pierdomenico Pepe; Michel Dambrine

The main contribution of this technical note is to establish a link between the exponential stability of an unforced system and the input-to-state stability (ISS) via the Liapunov-Krasovskii methodology. It is proved that a system which is (globally, locally) exponentially stable in the unforced case is (globally, locally) input-to-state stable when it is forced by a measurable and locally essentially bounded input, provided that the functional describing the dynamics in the unforced case is (globally, on bounded sets) Lipschitz and the functional describing the dynamics in the forced case satisfies a Lipschitz-like hypothesis with respect to the input. Moreover, a new feedback control law is provided for delay-free linearizable and stabilizable time-delay systems, whose dynamics is described by locally Lipschitz functionals, by which the closed-loop system is ISS with respect to disturbances adding to the control law, a typical problem due to actuator errors.


IEEE Transactions on Automatic Control | 2016

LMI Stability Conditions for 2D Roesser Models

Olivier Bachelier; Wojciech Paszke; Nima Yeganefar; Driss Mehdi; Abdelmadjid Cherifi

This note is devoted to the stability analysis of linear two-dimensional systems described by continuous, discrete or mixed Roesser models. Commonly used polynomial-based tests of stability are reduced to that of solving a set of linear matrix inequalities. The main contribution is that the approach is very general and the criteria, under certain hypothesis, are not conservative.


Multidimensional Systems and Signal Processing | 2013

Robust stability of hybrid Roesser models against parametric uncertainty: a general approach

Mariem Ghamgui; Nima Yeganefar; Olivier Bachelier; Driss Mehdi

This paper aims at proposing a general framework for the establishement of LMI conditions to analyse the robust stability of a singular hybrid Roesser model subject to parametric uncertainties. The uncertain parameters are involved through implicit Linear Fractional Representations (LFR). Special focus is put on the influence of the number of uncertain parameters and the dimensionality of the model. More precisely it is shown that each dimension can nearly be regarded as an uncertain parameter and the other way around. Therefore, their influence on the conservatism of the obtained condition is very similar.


Multidimensional Systems and Signal Processing | 2017

Structural stabilization of linear 2D discrete systems using equivalence transformations

Olivier Bachelier; Thomas Cluzeau; Ronan David; Nima Yeganefar

We consider stability and stabilization issues for linear two-dimensional (2D) discrete systems. We give a general definition of structural stability for all linear 2D discrete systems which coincides with the existing definitions in the particular cases of the classical Roesser and Fornasini–Marchesini discrete models. We study the preservation of the structural stability by equivalence transformations in the sense of the algebraic analysis approach to linear systems theory. This allows us to use recent works both on the stabilization of linear 2D Roesser models and on the equivalence of linear multidimensional systems in order to develop a stabilization method for linear 2D discrete Fornasini–Marchesini models.


conference on decision and control | 2007

Input-to-State Stability and exponential stability for time-delay systems: further results

Nima Yeganefar; Pierdomenico Pepe; Michel Dambrine

The main contribution of this paper is to establish a link between the exponential stability of an unforced system and the input-to-state stability (ISS) via the Liapunov-Krasovskii methodology. It is proved that a system which is (globally, locally) exponentially stable in the unforced case is (globally, locally) input-to-state stable when it is forced by a measurable and locally essentially bounded input, provided that the functional describing the dynamics in the unforced case is (globally, on bounded sets) Lipschitz and the functional describing the dynamics in the forced case satisfies a Lipschitz-like hypothesis with respect to the input. Moreover, a new feedback control law is provided for delay-free linearizable and stabilizable time-delay systems, whose dynamics is described by locally Lipschitz functionals, by which the closed loop system is ISS with respect to disturbances adding to the control law, a typical problem due to actuator errors.


IEEE Transactions on Automatic Control | 2017

On Stabilization of 2D Roesser Models

Olivier Bachelier; Nima Yeganefar; Driss Mehdi; Wojciech Paszke

This note is devoted to the stabilization of 2D Roesser models which are discrete, continuous, or mixed continuous-discrete. A recent linear matrix inequalities (LMIs) necessary and sufficient condition for stability of such models is used to derive a quasi non conservative technique for state feedback stabilization.


Circuits Systems and Signal Processing | 2015

H ∞ Performance Analysis of 2D Continuous Time-Varying Delay Systems

Mariem Ghamgui; Nima Yeganefar; Olivier Bachelier; Driss Mehdi

This paper deals with the problem of


conference on decision and control | 2011

Stability and stabilization of 2D continuous state-delayed systems

Mariem Ghamgui; Nima Yeganefar; Olivier Bachelier; Driss Mehdi

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Driss Mehdi

University of Poitiers

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Ronan David

University of Poitiers

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Wojciech Paszke

University of Zielona Góra

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Michel Dambrine

Centre national de la recherche scientifique

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