Reinforcement learning-based nonlinear tracking control system design via LDI approach with application to trolley system

Neural Computing and Applications ◽

10.1007/s00521-021-05909-8 ◽

2021 ◽

Author(s):

Yidong Tu ◽

Haiyang Fang ◽

Yanyan Yin ◽

Shuping He

Keyword(s):

Control System ◽

Reinforcement Learning ◽

System Design ◽

Tracking Control ◽

Control System Design ◽

Nonlinear Tracking

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Reliable tracking control system design against actuator failures

10.1109/sice.1997.624902 ◽

2002 ◽

Author(s):

Qing Zhao ◽

Jin Jiang

Keyword(s):

Control System ◽

System Design ◽

Tracking Control ◽

Control System Design ◽

Actuator Failures

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Active exoskeleton tracking control system design via singular perturbation technique

2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON) ◽

10.1109/sibircon.2015.7361866 ◽

2015 ◽

Author(s):

Valery D. Yurkevich

Keyword(s):

Control System ◽

Singular Perturbation ◽

System Design ◽

Tracking Control ◽

Perturbation Technique ◽

Control System Design ◽

Singular Perturbation Technique

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Adaptive trajectory tracking control system design for hypersonic vehicles with parametric uncertainty

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410014527251 ◽

2014 ◽

Vol 229 (1) ◽

pp. 119-134 ◽

Author(s):

Zhen Liu ◽

Xiangmin Tan ◽

Ruyi Yuan ◽

Guoliang Fan ◽

Jianqiang Yi

Keyword(s):

Control System ◽

System Design ◽

Trajectory Tracking ◽

Tracking Control ◽

Parametric Uncertainty ◽

Control System Design ◽

Hypersonic Vehicles ◽

Trajectory Tracking Control

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A Study on a Vision-Based Target Tracking Control System Design

Journal of Power System Engineering ◽

10.9726/kspse.2021.25.1.013 ◽

2021 ◽

Vol 25 (1) ◽

pp. 13-22

Author(s):

Thinh Huynh ◽

Hwan-Cheol Park ◽

Dong-Hun Lee ◽

Young-Bok Kim

Keyword(s):

Control System ◽

System Design ◽

Target Tracking ◽

Tracking Control ◽

Control System Design

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B108 Adaptive trajectory tracking control System Design for a quadrotor with an Inner-Loop PFC

The Proceedings of the Symposium on the Motion and Vibration Control ◽

10.1299/jsmemovic.2015.14.105 ◽

2015 ◽

Vol 2015.14 (0) ◽

pp. 105-110

Author(s):

Ikuro Mizumoto ◽

Takuto Nakamura ◽

Makoto Kumon

Keyword(s):

Control System ◽

System Design ◽

Trajectory Tracking ◽

Tracking Control ◽

Control System Design ◽

Trajectory Tracking Control

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Passive fault-tolerant control system design with tracking control against major system faults: Application to a canonical tank level system

Communication and Computing Systems ◽

10.1201/9780429444272-15 ◽

2019 ◽

pp. 98-104

Author(s):

H.R. Patel ◽

V.A. Shah

Keyword(s):

Control System ◽

System Design ◽

Tracking Control ◽

Fault Tolerant ◽

Fault Tolerant Control ◽

Control System Design ◽

Level System ◽

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Robust tracking control system design for a nonlinear IPMC using neural network-based sliding mode approach

International Journal of Advanced Mechatronic Systems ◽

10.1504/ijamechs.2015.074783 ◽

2015 ◽

Vol 6 (6) ◽

pp. 269 ◽

Author(s):

Aihui Wang ◽

Qiang Zhang ◽

Dongyun Wang

Keyword(s):

Neural Network ◽

Control System ◽

System Design ◽

Tracking Control ◽

Sliding Mode ◽

Control System Design ◽

Robust Tracking ◽

Robust Tracking Control

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A Study on the Optimal Tracking Control System Design for Automatic Ship Berthing

Journal of the Korea Society For Power System Engineering ◽

10.9726/kspse.2018.22.4.072 ◽

2018 ◽

Vol 22 (4) ◽

pp. 72-80 ◽

Author(s):

Kyong-Hyon Kim ◽

Byong-Gak Kim ◽

Young-Bok Kim

Keyword(s):

Control System ◽

System Design ◽

Tracking Control ◽

Control System Design ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

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Flight Attitude Simulator Control System Design based on Model-free Reinforcement Learning Method

2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) ◽

10.1109/imcec46724.2019.8983893 ◽

2019 ◽

Author(s):

Yingqi Zuo ◽

Kai Deng ◽

Yefeng Yang ◽

Tao Huang

Keyword(s):

Control System ◽

Reinforcement Learning ◽

System Design ◽

Control System Design ◽

Learning Method ◽

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Reinforcement learning based closed‐loop reference model adaptive flight control system design

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.3181 ◽

2020 ◽

Author(s):

Burak Yuksek ◽

Gokhan Inalhan

Keyword(s):

Control System ◽

Reinforcement Learning ◽

System Design ◽

Flight Control ◽

Closed Loop ◽

Reference Model ◽

Control System Design ◽

Flight Control System ◽

Adaptive Flight Control

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