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Sliding mode and active disturbance rejection compound synchronization for Hindmarsh-Rose neural networks.

, , , , and . CCIS, page 651-655. IEEE, (2014)

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Sliding mode and active disturbance rejection compound synchronization for Hindmarsh-Rose neural networks., , , , and . CCIS, page 651-655. IEEE, (2014)State of art on state estimation: Kalman filter driven by machine learning., , , , and . Annu. Rev. Control., (January 2023)Deep Fusion Predictive Modeling Based on Noise Analysis., , , , and . ICCAIS, page 135-140. IEEE, (2021)Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series., , , , , and . Entropy, 24 (3): 360 (2022)Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy., , , , , , and . Entropy, 23 (2): 219 (2021)Multi-Channel Fusion Classification Method Based on Time-Series Data., , , , and . Sensors, 21 (13): 4391 (2021)Parallel deep prediction with covariance intersection fusion on non-stationary time series., , , , , and . Knowl. Based Syst., (2021)Computation of an optimal communication schedule in a nonlinear networked control system using sum-of-squares., , , and . Syst. Control. Lett., 61 (3): 387-396 (2012)Compound Autoregressive Network for Prediction of Multivariate Time Series., , , , , and . Complex., (2019)