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Tracking control for polynomial fuzzy networked systems with repeated scalar nonlinearities.

, , , and . Neurocomputing, (2016)

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Polynomial-Approximation-Based Control for Nonlinear Systems., , and . CSSP, 35 (10): 3575-3594 (2016)Features of Capacitive Displacement Sensing That Provide High-Accuracy Measurements with Reduced Manufacturing Precision., , , , and . IEEE Trans. Industrial Electronics, 64 (9): 7377-7386 (2017)A Time-Grating Sensor for Displacement Measurement With Long Range and Nanometer Accuracy., , , , and . IEEE Trans. Instrum. Meas., 64 (11): 3105-3115 (2015)Tracking control for polynomial fuzzy networked systems with repeated scalar nonlinearities., , , and . Neurocomputing, (2016)Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems., , , and . IEEE Trans. Industrial Electronics, 62 (11): 7163-7170 (2015)A High-Precision Absolute Angular-Displacement Capacitive Sensor Using Three-Stage Time-Grating in Conjunction With a Remodulation Scheme., , , , and . IEEE Trans. Industrial Electronics, 66 (9): 7376-7385 (2019)Fuzzy observer-based sampled-data control for a class of pure-feedback nonlinear systems., , , and . J. Franklin Institute, 355 (14): 6416-6434 (2018)Robust finite-time state estimation of uncertain neural networks with Markovian jump parameters., , , and . Neurocomputing, (2015)Quantized control for polynomial fuzzy discrete-time systems., , , and . Complexity, 21 (2): 325-332 (2015)Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach., , , and . Complexity, 21 (2): 74-81 (2015)