Dynamical pattern recognition for sampling sequences based on deterministic learning and structural stability

Rapid dynamical pattern recognition for sampling sequences

(2021) Weiming Wu et al.   Science China-Information Sciences

Multi-hierarchy interaction control of a redundant robot using impedance learning

(2020) Yiming Jiang et al.   MECHATRONICS

Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion

(2020) Yiming Jiang et al.   IEEE Transactions on Neural Networks and Learning Systems

Deterministic Learning from Sampling Data

(2019) Weiming Wu et al.   NEUROCOMPUTING

A wavelet broad learning adaptive filter for forecasting and cancelling the physiological tremor in teleoperation

(2019) Jiatai Lin et al.   NEUROCOMPUTING

Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems

(2019) Yuzhu Guo et al.   NEUROCOMPUTING

Selective ensemble of multiple local model learning for nonlinear and nonstationary systems

(2019) Tong Liu et al.   NEUROCOMPUTING

Small Fault Detection of Discrete-Time Nonlinear Uncertain Systems

(2019) Jingting Zhang et al.   IEEE Transactions on Cybernetics

Multiobjective Learning in the Model Space for Time Series Classification

(2018) Zhichen Gong et al.   IEEE Transactions on Cybernetics

Small Fault Detection for a Class of Closed-Loop Systems via Deterministic Learning

(2018) Tianrui Chen et al.   IEEE Transactions on Cybernetics

Order-preserving Optimal Transport for Distances between Sequences

(2018) Bing Su et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning

(2017) Muqing Deng et al.   PATTERN RECOGNITION

A multiwavelet-based time-varying model identification approach for time–frequency analysis of EEG signals

(2016) Yang Li et al.   NEUROCOMPUTING

Modeling of nonlinear dynamical systems based on deterministic learning and structural stability

(2016) Danfeng Chen et al.   Science China-Information Sciences

A Fast Adaptive Tunable RBF Network For Nonstationary Systems

(2016) Hao Chen et al.   IEEE Transactions on Cybernetics

Gradient Radial Basis Function Based Varying-Coefficient Autoregressive Model for Nonlinear and Nonstationary Time Series

(2015) Min Gan et al.   IEEE SIGNAL PROCESSING LETTERS

Classification of neurodegenerative diseases using gait dynamics via deterministic learning

(2015) Wei Zeng et al.   INFORMATION SCIENCES

Small oscillation fault detection for a class of nonlinear systems with output measurements using deterministic learning

(2015) Tianrui Chen et al.   SYSTEMS & CONTROL LETTERS

Silhouette-based gait recognition via deterministic learning

(2014) Wei Zeng et al.   PATTERN RECOGNITION

Rapid Oscillation Fault Detection and Isolation for Distributed Systems via Deterministic Learning

(2014)   IEEE Transactions on Neural Networks and Learning Systems

Design and performance analysis of deterministic learning of sampled-data nonlinear systems

(2013) ChengZhi Yuan et al.   Science China-Information Sciences

Model-Based Human Gait Recognition Via Deterministic Learning

(2013) Wei Zeng et al.   Cognitive Computation

Human gait recognition via deterministic learning

(2012) Wei Zeng et al.   NEURAL NETWORKS

Rapid Detection of Small Oscillation Faults via Deterministic Learning

(2011) Cong Wang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS