Reconfigurable Takagi-Sugeno Fuzzy Logic Control for a Class of Nonlinear System considering Communication Time Delays on Peripheral Elements
AbstractNowadays the study of faults and their consequences becomes an issue into highly safety critical computer network systems. How to bound the effects of a fault and how to tackle them into a dynamic system is still an open field. In here an approach to tackle this problem is presented. The use of Takagi-Sugeno fuzzy logic structure is given in order to accomplish two challenges, the presence of local faults and the respective time delays within a realtime distributed system. This approach is pursued as reconfigurable strategy according to communication time delays within a real-time distributed system. This approach is pursued as reconfigurable strategy according to communication delays.
 Masten, M. K., Electronics: The intelligence in Intelligent Control IFAC Symposium on Intelligent Components and Instrument for Control Applications, Annecy, France, pp. 1-11, 1997.
 Nilsson, J., Real-Time Control with Delays, PhD. Thesis, Department of Automatic Control, Lund Institute of Technology, Sweden, 1998.
 Wu N., Reliability of Reconfigurable Control Systems: A Fuzzy Set Theoretic Perspective, Proceedings of the 36 th Conference on Decision & Control, IEEE, TP15 5:10, pp. 3352- 3356, San- Diego, USA, 1997.
 Jiang J., and Zhao Q.,Reconfigurable Control Based on Imprecise Fault Identification, Proocedings of the American Control Conference, IEEE, pp. 114-118, San Diego, June, 1999.
 Izadi-Zamanabadi R. and Blanke M.,A Ship Propulsion System as a Benchmark for Fault- Tolerant Control,Control Engineering Practice, Vol. 7, pp. 227-239, 1999.
 Blanke, M., Kinnaert M., Lunze J., and Staroswiecki M.,Diagnosis and Fault Tolerant Control, Springer, 2003.
 Benítez-Pérez, H., and García-Nocetti, F., Reconfigurable Distributed Control, Springer Verlag, 2005.
 Benítez-Pérez, H., and García-Nocetti, F., Reconfigurable Distributed Control based upon Smart Peripheral Elements, European Control Conference; ECC01, Porto, Portugal, pp. 3534- 3539, 2001
 Benítez-Pérez, H., Smart Distributed Systems, PhD. Thesis AC & SE Dept. University of Sheffield, UK, 1999.
 Driankov, D., Hellendoorn, H., Reinfrank, M., An Introduction to Fuzzy Logic Control, Springer- Verlag, 1994.
 Benítez-Pérez, H., Cárdenas-Flores F., García-Nocetti, F., An Implementation of Reconfigurable Network Control based upon Automata Proposal for three Conveyor Belt Case of Study, International Journal of Computers, Communications & Control, vol. II(2007), No. 4, pp 314-327, 2007.
 Benítez-Pérez, H., Real-time distributed control: A fuzzy an model predictive control approach for a nonlinear problem, Nonlinear Analysis Hybrid Systems, 2 (2008), pp. 474-490, 2008.
 Qui-ones-Reyes P., Benítez-Pérez, H., Cárdenas-Flores F., García-Nocetti, F. An approximation for reconfigurable fuzzy Takagi-Sugeno networked control, IEEE Potentials, vol. 27, No. 6, pp. 38-44, 2008.
 Liu, J.,Real-Time Systems, Prentice Hall, 2000.
 Krishna C. M. and Shin K. G., Real-Time Systems, Mc. Graw Hill, New York, USA, 1997.
 Lian F. Moyne J. and Tilbury D., Network Design Consideration for Distributed Control Systems, IEEE Transactions on Control Systems Technology, Vol. 10, No. 2, pp. 297-307, March 2002.
 Yi, Z., and Heng, P.; Stability of Fuzzy Control Systems with Bounded Uncertain Delays; IEEE Transactions on Fuzzy Systems, vol. 10, No.1, pp. 92-97, 2002.
 Dardinier-Maron V., Hamelin F., and Noure H.; A Fault-Tolerant Control Design Against Major Actuator Failures: Application to a Three-Tank Systemďż˝; IEEE 38th Conference on Decision and Control, pp: 3569-3574, 1999.
 Mathworks; System Identification Toolbox Users Guide; MATLAB, 1998.
 Cervin, A., Henriksson, D., Lincoln, B., Eker, J., and Arzďn, K.; How Does Control Timing Affect Performance?; IEEE Control Systems Magazine, Vol. 23, pp. 16-30, 2003
 Benítez-Pérez, H., and García-Nocetti, F.,Reconfigurable Takagi-Sugeno Fuzzy Logic Control for a Class of Nonlinear System considering Communication Time Delays on Peripheral Elements, Submitted to American Control Conference 2006.
 Zadeh L. A., A theory of commonsense knowledge, Aspects of Vagueness, H.J. Skala, S. Termini and E. Trillas (eds.), 257-296. Dordrecht: Reidel, 1984.
 Zadeh L. A., Fuzzy probabilities, Information Processing and Management 19, 148-153, 1984.
 Zadeh L. A., The Role of Fuzzy Logic in Modeling, Identification and Control, Modeling Identification and Control, 15(3):191-203, 1994.
 Zadeh L. A., Fuzzy Logic and the Calculus of Fuzzy If-Then Rules, Proceedings of SYNAPSE'91, Tokyo, Japan, 1991.
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