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Neural network-based model reference adaptive control of active power filter based on sliding mode approach., , and . IECON, page 31-36. IEEE, (2015)Adaptive T-S fuzzy sliding mode control of MEMS gyroscope., , and . FUZZ-IEEE, page 359-364. IEEE, (2014)Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator., and . IEEE Trans. Syst. Man Cybern. Part B, 42 (6): 1599-1607 (2012)Model reference adaptive fuzzy control of a shunt active power filter., and . J. Intell. Fuzzy Syst., 28 (1): 485-494 (2015)Non-fragile exponential state estimation for continuous-time fuzzy stochastic neural networks with time-varying delays., , and . J. Intell. Fuzzy Syst., 30 (5): 2915-2926 (2016)Quantized \(H_\) Filtering for Continuous-Time Nonhomogeneous Markov Jump Systems., , , and . Circuits Syst. Signal Process., 39 (8): 3833-3857 (2020)Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure., , and . IEEE Trans. Neural Networks Learn. Syst., 31 (4): 1297-1309 (2020)\(H_\) filter design for delayed static neural networks with Markovian switching and randomly occurred nonlinearity., , , , and . Int. J. Machine Learning & Cybernetics, 9 (6): 903-915 (2018)Adaptive Second-Order Sliding Mode Fuzzy Control Based on Linear Feedback Strategy for Three-Phase Active Power Filter., and . IEEE Access, (2018)Optimum ship pilot plan based on the ED-DPSO algorithm., , and . ICIT, page 1357-1361. IEEE, (2016)