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Robust sensor fault estimation for descriptor-LPV systems with unmeasurable gain scheduling functions: Application to an anaerobic bioreactor

., Guerra, T.M., Babuˆska, R. and De Schutter, B. (2011). Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, Studies in Fuzziness and Soft Computing, Vol. 262, Springer, Berlin/Heidelberg. Lofberg, J. (2004). A toolbox for modeling and optimization in MATLAB, Proceedings of the Computer Aided Control System Design Conference, Taipei, Taiwan, pp. 284-289. López-Estrada, F.-R., Ponsart, J., Theilliol, D. and Astorga-Zaragoza, C.-M. (2013). Fault estimation observer design for descriptor-LPV systems with

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Verification Techniques for Sensitivity Analysis and Design of Controllers for Nonlinear Dynamic Systems with Uncertainties

definiteness and stability of interval matrices, SIAM Journal on Matrix Analysis and Applications   15 (1): 175-184. Rump, S. M. (2007). IntLab, Version 5.4, available at: Sienel, W., Bünte, T. and Ackermann, J. (1996). PARADISE—Parametric robust analysis and design interactive software environment: A Matlab-based robust control toolbox, Proceedings of the 1996 IEEE International Symposium on Computer-Aided Control System Design, Dearborn, MI, USA , pp. 380

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Marine Search and Rescue of UAV in Long-Distance Security Modeling Simulation

(12):218-219. 20. WANG Tingting,QIANChengshan,ZHANGYonghong ,etal.Attitude Control System Design for Tilting Fixedwing Unmanned Aerial Vehicle. Computer Measurement & Control , 2017, 25(2):64-66. 21. Almazyad A S, Seddiq Y M, Alotaibi A M, et al. A Proposed Scalable Design and Simulation of Wireless Sensor Network-Based Long-Distance Water Pipeline Leakage Monitoring System. Sensors, 2014, 14(2):3557-3577. 22. Guan Y L, Hou Y X, Jia H G, et al. Dynamic Modeling and Simulation of UAV Ground Maneuvers. BinggongXuebao/ acta Armamentarii, 2014, 35

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An Influence of Strategic Awareness on Management Control: Evidence from Polish Micro, Small and Medium-sized Enterprises

-231. Burns, Jr. and Waterhouse, J.H. (1975). Budgetary control and organisational structure. Journal of Accounting Research. Autumn: 177-203. Chapman, C.S. and Chua, W.F. (2000). Technology, organisational form and accounting, 25th anniversary conference: Accounting, Organisations and Society. Oxford: Pergamon. Chenhall, R.H. (2003). Management control systems design within its organisational context: findings from contingency-based research and directions for the future. Accounting, Organisations and Society, 28: 127

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Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

-11. Takagi, T. and Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man, and Cybernetics—Part B   17 (2): 116-132. Tanaka, K. and Wang, H. (2001). Fuzzy Control System Design and Analysis: A Linear Matrix Inequality Approach , John Wiley and Sons, New York, NY. Vachtsevanos, G., Lewis, F. and Roemer, F. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems , John Wiley and Sons Ltd., Hoboken, NJ

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An Lmi–Based Heuristic Algorithm for Vertex Reduction in LPV Systems

). Automated generation and assessment of affine LPV models, 45th IEEE Conference on Decision and Control, San Diego, CA, USA , pp. 6690–6695. Kwiatkowski, A. and Werner, H. (2008). PCA-based parameter set mappings for LPV models with fewer parameters and less overbounding, IEEE Transactions on Control Systems Technology 16 (4): 781–788. Lofberg, J. (2004). YALMIP: A toolbox for modeling and optimization in MATLAB, IEEE International Symposium on Computer Aided Control Systems Design, New Orleans, LA, USA , pp. 284–289. López-Estrada, F.-R., Ponsart, J

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H_/H fault detection observer design for a polytopic LPV system using the relative degree

descriptor systems, International Journal of Robust and Nonlinear Control 25(5): 673-688. Rodrigues, M., Hamdi, H., Braiek, N.B. and Theilliol, D. (2014). Observer-based fault tolerant control design for a class of LPV descriptor systems, Journal of the Franklin Institute 351(6): 3104-3125. Tanaka, K. and Wang, H.O. (2001). Fuzzy Control Systems Design and Analysis, John Wiley & Son, New York, NY. Vanek, B., Edelmayer, A., Szabo, Z. and Bokor, J. (2014). Bridging the gap between theory and practice in LPV fault detection for

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Dynamic Positioning System for a Ship on Harbour Manoeuvring with Different Observers. Experimental Results

References 1. Strand J. P.: Nonlinear position control systems design for marine vessels , Ph.D. Tesis, Norwegian University Science and Technology, Deptment of Engineering Cybernetics, Trondheim, Norway, 1999. 2. Lindegaard K.-P.: Acceleration Feedback in Dynamic Positioning , Ph.D. Tesis, Norwegian University Science and Technology, Deptment of Engineering Cybernetics, Trondheim, Norway, 2003. 3. Fossen T.I., 1994. Guidance and control of ocean vehicles , John Wiley and Sons, Chichester, UK, 1994. 4. Amerongen J.V.: Adaptive Steering of Ships

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Models and Algorithms for the Reconfiguration of Virtual Enterprise Information System Structure

control: survey,” IFAC SAFEPROCESS’97, Hull, UK, vol.2, p.1033+, August 1997 [16] S. M. Joshi, “Design of failure accommodating multiloop LQG type controllers,” IEEE Trans.Automat.Cont., vol.32, no.8, 1987. [17] R. Veillette, I. Medanic, and W. Perkins, “Design of reliable control systems,” IEEE Trans.Automat.Cont., vol.37, no.3, p.290+, 1992 [18] Q. Zhao and J. Jiang, “Reliable state feedback control system design against actuator failures,” Automatica, vol.43, no.10, p.1267+, 1998. [19] J. S. Eterno, J. L

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Fault diagnosis in a networked control system under communication constraints: A quadrotor application

.-P., Theilliol, D., Cocquempot, V., Ponsart, J.-C. and Aubrun, C. (2011). Fault tolerance in networked control systems under intermittent observations, International Journal of Applied Mathematics and Computer Science 21(4): 639-648, DOI: 10.2478/v10006-011-0050-x. Gertler, J. (1998). Fault Detection and Diagnosis in Engineering Systems, CRC, New York, NY. Goodwin, G., Haimovich, H., Quevedo, D. and Welsh, J. (2004). A moving horizon approach to networked control system design, IEEE Transactions on Automatic Control 49(9): 1427

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