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A Novel Driver Abnormal Behavior Recognition and Analysis Strategy and Its Application in a Practical Vehicle.
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- Symmetry (20738994), 2022, v. 14, n. 10, p. N.PAG, doi. 10.3390/sym14101956
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A Novel Anti-Saturation Model-Free Adaptive Control Algorithm and Its Application in the Electric Vehicle Braking Energy Recovery System.
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- Symmetry (20738994), 2022, v. 14, n. 3, p. 580, doi. 10.3390/sym14030580
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- Article
SIMULATION OF PEDESTRIAN DYNAMIC USING A VECTOR FLOOR FIELD MODEL.
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- International Journal of Modern Physics C: Computational Physics & Physical Computation, 2013, v. 24, n. 4, p. -1, doi. 10.1142/S012918311350023X
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A Novel Data-Driven Terminal Iterative Learning Control with Iteration Prediction Algorithm for a Class of Discrete-Time Nonlinear Systems.
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- Journal of Applied Mathematics, 2014, p. 1, doi. 10.1155/2014/307809
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- Article
Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition.
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- Journal of Applied Mathematics, 2014, p. 1, doi. 10.1155/2014/191256
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- Article
High-order data-driven optimal TILC approach for fed-batch processes.
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- Canadian Journal of Chemical Engineering, 2015, v. 93, n. 8, p. 1455, doi. 10.1002/cjce.22232
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A data-driven approach for trajectory-based aircraft operation with controlled time of arrival and along-track wind effects.
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- Transactions of the Institute of Measurement & Control, 2020, v. 42, n. 12, p. 2166, doi. 10.1177/0142331220909004
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- Article
The model-free adaptive cross-coupled control for two-dimensional linear motor.
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- Transactions of the Institute of Measurement & Control, 2020, v. 42, n. 5, p. 1059, doi. 10.1177/0142331219881830
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Data-driven multi-inverter cooperative control for voltage tracking and current sharing in islanded AC microgrids.
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- Transactions of the Institute of Measurement & Control, 2019, v. 41, n. 11, p. 3145, doi. 10.1177/0142331218818653
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Data-driven predictive iterative learning control for a class of multiple-input and multiple-output nonlinear systems.
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- Transactions of the Institute of Measurement & Control, 2016, v. 38, n. 3, p. 266, doi. 10.1177/0142331215592692
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Iterative learning control for train trajectory tracking under speed constrains with iteration-varying parameter.
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- Transactions of the Institute of Measurement & Control, 2015, v. 37, n. 4, p. 485, doi. 10.1177/0142331214543095
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Robust point‐to‐point iterative learning control for high speed trains with model uncertainty and wind gust.
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- Asian Journal of Control, 2022, v. 24, n. 6, p. 3522, doi. 10.1002/asjc.2745
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- Article
Model Free Adaptive Control for a Class of Nonlinear Systems Using Quantized Information.
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- Asian Journal of Control, 2018, v. 20, n. 2, p. 962, doi. 10.1002/asjc.1610
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- Article
Computationally‐Light Non‐Lifted Data‐Driven Norm‐Optimal Iterative Learning Control.
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- Asian Journal of Control, 2018, v. 20, n. 1, p. 115, doi. 10.1002/asjc.1569
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Adaptive Iterative Learning Control Based High Speed Train Operation Tracking Under Iteration-Varying Parameter and Measurement Noise.
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- Asian Journal of Control, 2015, v. 17, n. 5, p. 1779, doi. 10.1002/asjc.1093
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Optimal Terminal Iterative Learning Control for the Automatic Train Stop System.
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- Asian Journal of Control, 2015, v. 17, n. 5, p. 1992, doi. 10.1002/asjc.1065
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Adaptive Terminal ILC for Iteration-varying Target Points.
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- Asian Journal of Control, 2015, v. 17, n. 3, p. 952, doi. 10.1002/asjc.943
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Synchronization of Interconnected Multi-valued Logical Networks.
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- Asian Journal of Control, 2014, v. 16, n. 6, p. 1659, doi. 10.1002/asjc.835
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An ILC scheme for a class of nonlinear continuous-time systems with time-iteration-varying parameters subject to second-order internal model.
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- Asian Journal of Control, 2011, v. 13, n. 1, p. 126, doi. 10.1002/asjc.320
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Charge Transfer Salt and Graphene Heterostructure‐Based Micro‐Supercapacitors with Alternating Current Line‐Filtering Performance.
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- Small, 2019, v. 15, n. 48, p. N.PAG, doi. 10.1002/smll.201901494
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Prescribed performance‐based resilient model‐free adaptive control for CPSs against aperiodic DoS attacks.
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- International Journal of Robust & Nonlinear Control, 2024, v. 34, n. 5, p. 3335, doi. 10.1002/rnc.7139
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Robust model‐free adaptive longitudinal flight control for a flapping wing micro air vehicle with wind disturbances.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 17, p. 10425, doi. 10.1002/rnc.6527
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Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 14, p. 8731, doi. 10.1002/rnc.6846
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Data‐driven set‐point tuning of model‐free adaptive control.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 13, p. 7667, doi. 10.1002/rnc.6788
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Finite time adaptive learning for tracking control of constraint nonlinear systems via command filtered output feedback.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 7, p. 4076, doi. 10.1002/rnc.6375
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Data learning‐based model‐free adaptive control and application to an NAO robot.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 4, p. 2722, doi. 10.1002/rnc.6537
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Model‐free adaptive and iterative learning composite control for subway train under actuator faults.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 3, p. 1772, doi. 10.1002/rnc.6447
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Stabilizing regions of PID controller for a class of unknown nonlinear non‐affine discrete‐time systems.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 18, p. 9421, doi. 10.1002/rnc.6016
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Data‐driven iterative learning control using a uniform quantizer with an encoding–decoding mechanism.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 7, p. 4336, doi. 10.1002/rnc.6027
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Event‐triggered prescribed performance adaptive fuzzy asymptotic tracking of nonstrict‐feedback nonlinear systems.
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- International Journal of Robust & Nonlinear Control, 2021, v. 31, n. 12, p. 5776, doi. 10.1002/rnc.5569
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Finite time asymmetric bipartite consensus for multi‐agent systems based on iterative learning control.
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- International Journal of Robust & Nonlinear Control, 2021, v. 31, n. 12, p. 5708, doi. 10.1002/rnc.5568
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Model‐free adaptive control for a class of nonlinear systems with uniform quantizer.
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- International Journal of Robust & Nonlinear Control, 2020, v. 30, n. 16, p. 6383, doi. 10.1002/rnc.5107
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Model‐free adaptive formation control for unknown multiinput‐multioutput nonlinear heterogeneous discrete‐time multiagent systems with bounded disturbance.
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- International Journal of Robust & Nonlinear Control, 2020, v. 30, n. 15, p. 6330, doi. 10.1002/rnc.5097
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Compensation‐based data‐driven ILC with input and output package dropouts.
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- International Journal of Robust & Nonlinear Control, 2020, v. 30, n. 3, p. 950, doi. 10.1002/rnc.4795
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Formation control for a class of nonlinear multiagent systems using model‐free adaptive iterative learning.
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- International Journal of Robust & Nonlinear Control, 2018, v. 28, n. 4, p. 1402, doi. 10.1002/rnc.3961
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Data-driven high-order terminal iterative learning control with a faster convergence speed.
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- International Journal of Robust & Nonlinear Control, 2018, v. 28, n. 1, p. 103, doi. 10.1002/rnc.3861
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An iterative learning control design approach for networked control systems with data dropouts.
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- International Journal of Robust & Nonlinear Control, 2016, v. 26, n. 1, p. 91, doi. 10.1002/rnc.3300
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Adaptive fixed‐time tracking control for stochastic pure‐feedback nonlinear systems.
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- International Journal of Adaptive Control & Signal Processing, 2021, v. 35, n. 9, p. 1712, doi. 10.1002/acs.3285
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Singular linear quadratic optimal control for singular stochastic discrete-time systems.
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- Optimal Control - Applications & Methods, 2013, v. 34, n. 5, p. 505, doi. 10.1002/oca.2033
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Model-Free Adaptive Direct Torque Control for the Speed Regulation of Asynchronous Motors.
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- Processes, 2020, v. 8, n. 3, p. 333, doi. 10.3390/pr8030333
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Stability analysis of quantized iterative learning control systems using lifting representation.
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- International Journal of Adaptive Control & Signal Processing, 2017, v. 31, n. 9, p. 1327, doi. 10.1002/acs.2767
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Adaptive iterative learning reliable control for a class of non-linearly parameterised systems with unknown state delays and input saturation.
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- IET Control Theory & Applications (Wiley-Blackwell), 2016, v. 10, n. 17, p. 2160, doi. 10.1049/iet-cta.2016.0209
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Adaptive iterative learning reliable control for a class of non‐linearly parameterised systems with unknown state delays and input saturation.
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- IET Control Theory & Applications (Wiley-Blackwell), 2016, v. 10, n. 17, p. 2160, doi. 10.1049/iet-cta.2016.0209
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Local learning‐based model‐free adaptive predictive control for adjustment of oxygen concentration in syngas manufacturing industry.
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- IET Control Theory & Applications (Wiley-Blackwell), 2016, v. 10, n. 13, p. 1384, doi. 10.1049/iet-cta.2015.0835
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Iterative learning control for discrete‐time systems with quantised measurements.
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- IET Control Theory & Applications (Wiley-Blackwell), 2015, v. 9, n. 10, p. 1455, doi. 10.1049/iet-cta.2014.1056
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Controller dynamic linearisation‐based model‐free adaptive control framework for a class of non‐linear system.
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- IET Control Theory & Applications (Wiley-Blackwell), 2015, v. 9, n. 7, p. 1162, doi. 10.1049/iet-cta.2014.0743
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- Article
Data‐driven terminal iterative learning control with high‐order learning law for a class of non‐linear discrete‐time multiple‐input–multiple output systems.
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- IET Control Theory & Applications (Wiley-Blackwell), 2015, v. 9, n. 7, p. 1075, doi. 10.1049/iet-cta.2014.0754
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Stabilisation of a class of two‐dimensional nonlinear systems with intermittent measurements.
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- IET Control Theory & Applications (Wiley-Blackwell), 2014, v. 8, n. 15, p. 1596, doi. 10.1049/iet-cta.2014.0170
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Iterative learning control for a class of non-linear switched systems.
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- IET Control Theory & Applications (Wiley-Blackwell), 2013, v. 7, n. 3, p. 470, doi. 10.1049/iet-cta.2012.0714
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Iterative learning control for a class of non‐linear switched systems.
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- IET Control Theory & Applications (Wiley-Blackwell), 2013, v. 7, n. 3, p. 470, doi. 10.1049/iet-cta.2012.0714
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