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Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2011-02, Vol.41 (1), p.14-25

2011

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Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses

Automatica (Oxford), 2012-06, Vol.48 (6), p.1017-1030

2012

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Putting 'quality' in qualitative research: a guide to grounded theory for mental health nurses

Journal of psychiatric and mental health nursing, 2015-12, Vol.22 (10), p.821-828

Lewis, L. F.

2015

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Open-loop versus closed-loop control of MEMS devices: choices and issues

Journal of micromechanics and microengineering, 2005-10, Vol.15 (10), p.1917-1924

2005

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Robust backstepping control of nonlinear systems using neural networks

IEEE transactions on systems, man and cybernetics. Part A, Systems and humans, 2000-11, Vol.30 (6), p.753-766

2000

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Neural-network predictive control for nonlinear dynamic systems with time-delay

IEEE transactions on neural networks, 2003-03, Vol.14 (2), p.377-389

2003

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A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems

Automatica (Oxford), 2013-01, Vol.49 (1), p.82-92

2013

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H Static Output-Feedback Control Design for Discrete-Time Systems Using Reinforcement Learning

IEEE transaction on neural networks and learning systems, 2020-02, Vol.31 (2), p.396-406

2020

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Adaptive optimal control for continuous-time linear systems based on policy iteration

Automatica (Oxford), 2009-02, Vol.45 (2), p.477-484

2009

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Feedback linearization using neural networks

Automatica (Oxford), 1995-11, Vol.31 (11), p.1659-1664

1995

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Robust backstepping control of induction motors using neural networks

IEEE transactions on neural networks, 2000-09, Vol.11 (5), p.1178-1187

2000

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Two-time scale fuzzy logic controller of flexible link robot arm

Fuzzy sets and systems, 2003-10, Vol.139 (1), p.125-149

2003

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Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2038-2041

2018

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Multi-frequency disturbance rejection via blending control technique for hard disk drives

Automatica (Oxford), 2009-10, Vol.45 (10), p.2244-2249

2009

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Model-free H ∞ control design for unknown linear discrete-time systems via Q-learning with LMI

Automatica (Oxford), 2010-08, Vol.46 (8), p.1320-1326

2010

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Discrete-time neural net controller for a class of nonlinear dynamical systems

IEEE transactions on automatic control, 1996-11, Vol.41 (11), p.1693-1699

1996

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The lateral instability problem in electrostatic comb drive actuators: modeling and feedback control

Journal of micromechanics and microengineering, 2006-07, Vol.16 (7), p.1233-1241

2006

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Deadzone compensation in motion control systems using adaptive fuzzy logic control

IEEE transactions on control systems technology, 1999-11, Vol.7 (6), p.731-742

1999

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Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control

IEEE transaction on neural networks and learning systems, 2017-03, Vol.28 (3), p.494-499

2017

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Robust backstepping control of a class of nonlinear systems using fuzzy logic

Information sciences, 2000, Vol.123 (3), p.223-240

2000

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Identification of nonlinear dynamical systems using multilayered neural networks

Automatica (Oxford), 1996-12, Vol.32 (12), p.1707-1712

1996

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Implementation of a neural network tracking controller for a single flexible link: comparison with PD and PID controllers

IEEE transactions on industrial electronics (1982), 1998-04, Vol.45 (2), p.307-318

1998

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A tutorial on the geometric analysis of linear time-invariant implicit systems

Automatica (Oxford), 1992, Vol.28 (1), p.119-137

Lewis, F.L.

1992

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CMAC neural networks for control of nonlinear dynamical systems: Structure, stability and passivity

Automatica (Oxford), 1997-04, Vol.33 (4), p.635-641

1997

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Deadzone compensation in motion control systems using neural networks

IEEE transactions on automatic control, 2000-04, Vol.45 (4), p.602-613

2000

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Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data

Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses

Putting 'quality' in qualitative research: a guide to grounded theory for mental health nurses

Open-loop versus closed-loop control of MEMS devices: choices and issues

Robust backstepping control of nonlinear systems using neural networks

Neural-network predictive control for nonlinear dynamic systems with time-delay

A novel actor–critic–identifier architecture for approximate optimal control of uncertain nonlinear systems

H Static Output-Feedback Control Design for Discrete-Time Systems Using Reinforcement Learning

Adaptive optimal control for continuous-time linear systems based on policy iteration

Feedback linearization using neural networks

Robust backstepping control of induction motors using neural networks

Two-time scale fuzzy logic controller of flexible link robot arm

Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming

Multi-frequency disturbance rejection via blending control technique for hard disk drives

Model-free H ∞ control design for unknown linear discrete-time systems via Q-learning with LMI

Discrete-time neural net controller for a class of nonlinear dynamical systems

The lateral instability problem in electrostatic comb drive actuators: modeling and feedback control

Deadzone compensation in motion control systems using adaptive fuzzy logic control

Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control

Robust backstepping control of a class of nonlinear systems using fuzzy logic

Identification of nonlinear dynamical systems using multilayered neural networks

Implementation of a neural network tracking controller for a single flexible link: comparison with PD and PID controllers

A tutorial on the geometric analysis of linear time-invariant implicit systems

CMAC neural networks for control of nonlinear dynamical systems: Structure, stability and passivity

Deadzone compensation in motion control systems using neural networks

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