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Peak-to-peak fuzzy filtering of nonlinear discrete-time systems with markov communication protocol.

, , and . Inf. Sci., (2022)

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A discrete-Time sliding Window observer for Markovian Switching System: an LMI Approach., , , and . Control. Intell. Syst., (2008)Relaxed stability conditions for Takagi-Sugeno fuzzy systems., , and . SMC, page 3514-3519. IEEE, (2000)State and unknown input estimation for discrete time multiple model., , , and . J. Frankl. Inst., 346 (6): 593-610 (2009)Unknown inputs observer for a class of nonlinear uncertain systems: An LMI approach., , and . Int. J. Autom. Comput., 9 (3): 331-336 (2012)Finite frequency observer design for T-S fuzzy systems with unknown inputs: an LMI approach., , and . Int. J. Model. Identif. Control., 29 (2): 109-117 (2018)Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study., , , , , and . NOSTRADAMUS, volume 210 of Advances in Intelligent Systems and Computing, page 61-75. Springer, (2013)Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis., , and . Complex System Modelling and Control Through Intelligent Soft Computations, volume 319 of Studies in Fuzziness and Soft Computing, Springer, (2015)Further Enhancement on Robust $H_ınfty$ Control Design for Discrete-Time Singular Systems., and . IEEE Trans. Automat. Contr., 59 (2): 494-499 (2014)Further Enhancement on Robust H∞ Control Design for Discrete-Time Singular Systems., and . IEEE Trans. Automat. Contr., 59 (2): 494-499 (2014)Adaptive fuzzy observer based non-quadratic control for nonlinear system subject to actuator faults and saturation., , , and . J. Frankl. Inst., 360 (8): 5411-5441 (2023)