International Journal of Control Science and Engineering

International Journal of Control Science and Engineering seeks to provide an outlet for technical papers on advances in the field of control systems and control technology. It aims at speedy, online publication of original, peer-reviewed papers in all established and newly emerging areas of control theory and applications, encompassing modeling, identification, estimation, analysis, design, implementation of control systems, and in broader and related areas of signal processing and systems and information sciences. The Journal employs a paperless, electronic submission and evaluation system to promote a rapid turnaround in the peer review process.


M. CHADLI

Editorial Board Member of International Journal of Control Science and Engineering

Associate Professor, University of Picardie Jules Verne, France

Research Areas

Analysis and Control of Singular (Switched) Systems, Analysis and Control of Fuzzy/LPV Polytopic Models, Robust Control, Fault Detection and Isolation (FDI), Fault Tolerant Control (FTC), Analysis and Control Via LMI Optimization Techniques and Lyapunov M

Education

2002Ph.D.Automatic Control from the 'Institut National Polytechnique de Lorraine' (INPL), Research Center on Automatic Control of Nancy
1999M. Sc. Industrial Automation and Control from 'Institut National des Sciences Appliquées' (INSA) of Lyon, France

Experience

2010-presentResponsible of the ERASMUS program with Adger University, Norway
2008-presentResponsible of the ERASMUS program with Tomas Bata University in Zlin, Czech Republic
2007-presentHead of the training electrical engineering Master and responsible of internships for students at the IUP GEII-UPJV, Amiens-France.
2004-2007Responsible of communication at the IUP GEII-UPJV, Amiens
2007-presentProgram Coordinator of post-graduate courses in Electrical Engineering at UPJV-MIS, Amiens, France
2004-presentAssociate Professor at UPJV-MIS, Amiens, France
2002-2004Assistant Researcher and teacher at INPL-CRAN, Nancy, France

Publications: Journals

[1]  M. Chadli and M. Darouach. "Robust admissibility of uncertain switched singular systems". International Journal of Control, accepted, Doi:10.1080/00207179.2011.615865, 2011.
[2]  M. Chadli and M. Darouach. "Novel bounded real lemma for discrete-time descriptor systems. Application to H∞ control design". Automatica, accepted, 2011.
[3]  D. Saifia, M. Chadli, S. labiod. "Robust H∞ static output feedback stabilization of T-S fuzzy systems subject to actuator saturation". International Journal of Control, Automation and Systems (Springer). accepted, 2012.
[4]  S. Bououden, M. Chadli, S. Filali, A. El Hajjaji. "Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach". International Journal of Renewable Energy (Elsevier). Vol. 37, pp. 434-439, 2012, DOI: 10.1016/j.renene.2011.06.025
[5]  I. Zelinka, M. Chadli, D. Davendra, R. Senkerik. "An investigation on evolutionary reconstruction of continuous chaotic systems". International Journal of Mathematical and Computer Modelling (Elsevier). accepted, 2011, doi:10.1016/j.mcm.2011.06.034
[6]  M. Kamel, M. Chadli, M. Chaabane "Unknown inputs observer for a class of nonlinear uncertain systems: An LMI Approach". International Journal of Automation and Computing, accepted, 2011.
[7]  D. Saifia, M. Chadli, S. labiod. "H∞ Control of Multiple Model Subject to Actuator Saturation: Application to Quarter-Car Suspension System". Journal of Analog Integrated Circuits and Signal Processing (Springer). 2011, DOI: 10.1007/s10470-011-9628-3.
[8]  M. Bouattour, M. Chadli, M. Chaabane, A. El Hajjaji. "Design of robust fault detection observer for Takagi-Sugeno models using the descriptor approach". International Journal of Control, Automation and Systems (Springer). Vol. 9, No 5, Oct. 2011.
[9]  H. Dahmani, M. Chadli, A. Rabhi, A. El Hajjaji. "Design of unknown inputs robust fuzzy observer for lane departure detection". International Journal of Vehicle Design, 2011.
[10]  M. Chadli "State and An LMI approach to Design Observer for Unknown Inputs Takagi-Sugeno Fuzzy models", Asian Journal of Control, Vol.12, No.4, 2010.
[11]  M. Bouattour, M. Chadli, M. Chaabane, A. El Hajjaji, "Robust fault tolerant control for Takagi-Sugeno system using singular approach" International Review of Automatic Control (Theory and Applications), Vol 3, No 4, July 2010.
[12]  M. Chadli, A. Akhenak, J. Ragot, D. Maquin, "State and Unknown Input Estimation for Discrete Time Multiple Model", Journal of the Franklin Institute, Vol. 346, No. 6, pp. 593-610, 2009.
[13]  M. Oudghiri, M. Chadli, A. Elhajjaji, "Robust observer-based fault tolerant control for vehicle lateral dynamics", International journal of vehicle design (IJVD), Vol. 48, No. 3/4, 2008.
[14]  M. Chadli, A. Akhenak, D. Maquin, J. Ragot,"Fuzzy Observer for Fault Detection and Reconstruction of Unknown Input Fuzzy models" International Journal of Modelling, Identification and Control, Vol. 3, No. 2, pp. 193-200, 2008.
[15]  M. Chadli, A. Akhenak, J. Ragot, D. Maquin, "On the Design of Observer for Unknown Inputs Fuzzy Models". International Journal of Automation and Control, Vol. 2, No. 1, pp. 113-125, 2008.
[16]  A. Hocine, M. Chadli, D. Maquin, J. Ragot,"A discrete-time sliding window observer for markovian switching system", Control and Intelligent Systems, Vol. 3, No. 2 (No 201-1917), 2008.
[17]  M. Chadli, A. Elhajjaji, "Robust Output Fuzzy Control for Vehicle Lateral Dynamic Stability Improvement". International Journal of Modelling, Identification and Control. Vol. 3, No. 3, 2008.
[18]  M. Chadli, P. Borne, "Design of Robust Static Output Controller for Uncertain Fuzzy Model: an LMI Formulation". Studies in Informatics and Control, 16 (4), pp. 421-430, 2007.
[19]  M. Chadli, A. Elhajjaji, "Moment robust fuzzy observer-based control for improving driving stability", Int. J. of Vehicle Autonomous Systems, Vol. 5, No.3/4, pp. 326-344, 2007.

Publications: Books/Book Chapters

[1]  M. Chadli, "Chaotic systems reconstruction". Evolutionary algorithms and chaotic systems. Studies in Computational Intelligence, ISBN: 978-3-642-10706-1, Vol. 267, Springer-Verlag, Berlin, 560 p., Hardcover. 2010.