CNRS Laboratory of Modelisation of Information and Systems

Amiens, France

CNRS Laboratory of Modelisation of Information and Systems

Amiens, France
SEARCH FILTERS
Time filter
Source Type

Bououden S.,University of Mentouri Constantine | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Karimi H.R.,University of Agder
Mathematical Problems in Engineering | Year: 2013

Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in this paper. The unknown system dynamics and upper bounds of the minimum approximation errors are adaptively updated with stabilizing adaptive laws. The closed-loop system driven by the proposed controllers is shown to be stable with all the adaptation parameters being bounded. The performance and stability of the proposed control system are achieved analytically using the Lyapunov stability theory. Simulations show that the proposed controller performs well and exhibits good performance. © 2013 S. Bououden et al.


Abdoul Soukour A.,DSI Inc | Abdoul Soukour A.,CNRS Laboratory of Modelisation of Information and Systems | Devendeville L.,CNRS Laboratory of Modelisation of Information and Systems | Lucet C.,CNRS Laboratory of Modelisation of Information and Systems | Moukrim A.,CNRS Heuristic and Diagnostic Methods for Complex Systems
Expert Systems with Applications | Year: 2013

The staff scheduling problem is widely studied in Operational Research. Various surveys are available in the literature dealing with this problem which concerns various objectives and various constraints. In this article, we present a staff scheduling problem in airport security service. First, a modeling of the problem, and a representation of solutions are shown. The problem is solved in three steps, days-off scheduling, shift scheduling, and staff assignment. We focus on the last step, by providing a Memetic Algorithm (MA) which merged an Evolutionary Algorithm and Local Search techniques. We propose a chromosome encoding, a crossover operator and a combined neighborhood function, specially dedicated to this staff assignment problem. Besides providing better solutions than software currently used, this algorithm provides up to 50% of improvement from initial feasible solutions. © 2013 Elsevier Ltd. All rights reserved.


Mohamed K.,Industrial Process Control Unit | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Chaabane M.,Industrial Process Control Unit
International Journal of Automation and Computing | Year: 2012

This paper deals with the simultaneous estimation of states and unknown inputs for a class of Lipschitz nonlinear systems using only the measured outputs. The system is assumed to have bounded uncertainties that appear on both the state and output matrices. The observer design problem is formulated as a set of linear constraints which can be easily solved using linear matrix inequalities (LMI) technique. An application based on manipulator arm actuated by a direct current (DC) motor is presented to evaluate the performance of the proposed observer. The observer is applied to estimate both state and faults. © 2012 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.


Saifia D.,Jijel University | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Labiod S.,Jijel University | Guerra T.M.,University of Valenciennes and Hainaut‑Cambresis
International Journal of Control, Automation and Systems | Year: 2012

This paper proposes a method for designing robust H ∞ static output feedback stabilization of Takagi-Sugeno (T-S) fuzzy systems under actuator saturation. In this paper, the input saturation is represented by a polytopic model and the modeling error is assumed a norm-bounded uncertainty. A set invariance condition for robust H ∞ static output feedback system under actuator saturation is first established. Then, the estimation of the largest domain of attraction for the system is formulated and solved as a Linear Matrix Inequality (LMI) optimization problem. Two examples are used to demonstrate the effectiveness of the proposed design method. © ICROS, KIEE and Springer 2012;.


Saifia D.,Jijel University | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Labiod S.,Jijel University | Karimi H.R.,University of Agder
Mathematical Problems in Engineering | Year: 2012

This paper proposes a method for designing H ∞ fuzzy control of DC-DC converters under actuator saturation. Because linear control design methods do not take into account the nonlinearity of the system, a T-S fuzzy model and a controller design approach is used. The designed control not only handles the external disturbance but also the saturation of duty cycle. The input constraint is first transformed into a symmetric saturation which is represented by a polytopic model. Stabilization conditions for the H ∞ state feedback system of DC-DC converters under actuator saturation are established using the Lyapunov approach. The proposed method has been compared and verified with a simulation example. © 2012 D. Saifia et al.


Saifia D.,Jijel University | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Karimi H.R.,University of Agder | Labiod S.,Jijel University
Journal of the Franklin Institute | Year: 2015

Friction and disturbances of the road are the main sources of nonlinearity in the Electric Power Steering (EPS) System. Consequently, conventional linear controllers design based on a simplified linear model of the EPS system will result in poor dynamic performance or system instability. On the other hand, a brush-type DC motor is more used in EPS control with an input current that is limited in practice. The control laws designed without taking into account the saturation effect may have undesirable consequences on the system stability. In this paper, a Takagi-Sugeno (T-S) fuzzy is used to represent the nonlinear behavior of an EPS system, and stabilization conditions for nonlinear EPS system with both constrained and saturated control input cases are proposed in terms of linear matrix inequalities (LMI). Simulation results show that both the saturated and constrained controls can stabilize the resulting closed-loop EPS system and provide a stable driving in the presence of nonlinear friction, disturbance of the road and actuator saturation. © 2014 The Franklin Institute.


Aouaouda S.,Annaba University | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Khadir M.T.,Annaba University | Bouarar T.,Annaba University
Journal of Process Control | Year: 2012

This work concerns the tracking problem of uncertain Takagi-Sugeno fuzzy continuous systems with unmeasurable premise variables and affected by unknown inputs. The aim is to synthesize a fault tolerant controller (FTC) ensuring trajectory tracking of a desired reference model. To emit the original plant system, a norm bounded parametric uncertainty is employed in building the T-S model. The control scheme is based on a fuzzy observer to estimate both faults and faulty system states; a proportional integer (PI) observer to estimate constant faults is then adopted. Using descriptor redundancy property and L 2 optimization to attenuate the unknown inputs effect, a solution is proposed in terms of bilinear matrix inequalities (BMIs). The performances of the proposed approach are pointed out by accentuating on a model of wastewater treatment plant (WWTP) through numerical results. © 2012 Elsevier Ltd. All rights reserved.


Rabhi A.,CNRS Laboratory of Modelisation of Information and Systems | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Pegard C.,CNRS Laboratory of Modelisation of Information and Systems
IEEE 15th International Conference on Advanced Robotics: New Boundaries for Robotics, ICAR 2011 | Year: 2011

In this paper, we propose an algorithm based on fuzzy control to ensure the stability of the quadrotor. After giving the nonlinear model of the robot, its representation by a Takagi-Sugeno (T-S) fuzzy model is first discussed. Next, a fuzzy controller are synthesized which guarantee desired control performances. The given controller is designed using numerical tools (Linear Matrix Inequalities-LMI). The simulation results show effectiveness and robustness of the proposed method. © 2011 IEEE.


Dahmani H.,CNRS Laboratory of Modelisation of Information and Systems | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Rabhi A.,CNRS Laboratory of Modelisation of Information and Systems | El Hajjaji A.,CNRS Laboratory of Modelisation of Information and Systems
Vehicle System Dynamics | Year: 2013

This article describes a method of vehicle dynamics estimation for impending rollover detection. This method is evaluated via a professional vehicle dynamics software and then through experimental results using a real test vehicle equipped with an inertial measurement unit. The vehicle dynamic states are estimated in the presence of the road bank angle (as a disturbance in the vehicle model) using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate the rollover detection, a new method is proposed in order to compute the time-to-rollover using the load transfer ratio. The used nonlinear model is deduced from the vehicle lateral dynamics and is represented by a Takagi-Sugeno (TS) fuzzy model. This representation is used in order to take into account the nonlinearities of lateral cornering forces. The proposed TS observer is designed with unmeasurable premise variables in order to consider the non-availability of the slip angles measurement. Simulation results show that the proposed observer and rollover detection method exhibit good efficiency. © 2013 Taylor & Francis.


Dahmani H.,CNRS Laboratory of Modelisation of Information and Systems | Chadli M.,CNRS Laboratory of Modelisation of Information and Systems | Rabhi A.,CNRS Laboratory of Modelisation of Information and Systems | El Hajjaji A.,CNRS Laboratory of Modelisation of Information and Systems
Vehicle System Dynamics | Year: 2013

In this paper, a lane departure detection method is studied and evaluated via a professional vehicle dynamics software. Based on a robust fuzzy observer designed with unmeasurable premise variables with unknown inputs, the road curvature is estimated and compared with the vehicle trajectory curvature. The difference between the two curvatures is used by the proposed algorithm as the first driving risk indicator. To reduce false alarms and take into account the driver corrections, a second driving risk indicator is considered, which is based on the steering dynamics, and it gives the time to the lane keeping. The used nonlinear model deduced from the vehicle lateral dynamics and a vision system is represented by an uncertain Takagi-Sugeno fuzzy model. Taking into account the unmeasured variables, an unknown input fuzzy observer is then proposed. Synthesis conditions of the proposed fuzzy observer are formulated in terms of linear matrix inequalities using Lyapunov method. The proposed approach is evaluated under different driving scenarios using a software simulator. Simulation results show good efficiency of the proposed method. © 2013 Taylor & Francis.

Loading CNRS Laboratory of Modelisation of Information and Systems collaborators
Loading CNRS Laboratory of Modelisation of Information and Systems collaborators