Finite-horizon neural network-based optimal control design for affine nonlinear continuous-time systems

The 2013 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2013.6707062 ◽

2013 ◽

Author(s):

Qiming Zhao ◽

Hao Xu ◽

Travis Dierks ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Control Design ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Neural-network-based finite horizon optimal control for partially unknown linear continuous-time systems

2015 Seventh International Conference on Advanced Computational Intelligence (ICACI) ◽

10.1109/icaci.2015.7184777 ◽

2015 ◽

Author(s):

Chao Li ◽

Hongliang Li ◽

Derong Liu

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Neural network-based finite-horizon approximately optimal control of uncertain affine nonlinear continuous-time systems

2014 American Control Conference ◽

10.1109/acc.2014.6858693 ◽

2014 ◽

Author(s):

Hao Xu ◽

Qiming Zhao ◽

Travis Dierks ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Solving Finite-Horizon HJB for Optimal Control of Continuous-Time Systems

2021 International Conference on Computer, Control and Robotics (ICCCR) ◽

10.1109/icccr49711.2021.9349412 ◽

2021 ◽

Author(s):

Ziyu Lin ◽

Jingliang Duan ◽

Shengbo Eben Li ◽

Jie Li ◽

Haitong Ma ◽

...

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Neural network-based event-triggered control design of nonlinear continuous-time systems with variable sampling

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727667 ◽

2016 ◽

Author(s):

Songlin Hu ◽

Dong Yue ◽

Xiuxia Yin ◽

Xiangpeng Xie

Keyword(s):

Neural Network ◽

Continuous Time ◽

Control Design ◽

Variable Sampling ◽

Continuous Time Systems ◽

Time Systems ◽

Event Triggered

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Distributed optimal control design for the identical continuous-time systems

2013 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2013.6720505 ◽

2013 ◽

Author(s):

Fangfang Zhang ◽

Wei Wang

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Control Design ◽

Distributed Optimal Control ◽

Continuous Time Systems ◽

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Neuro-observer based online finite-horizon optimal control for uncertain non-linear continuous-time systems

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.0966 ◽

2017 ◽

Vol 11 (3) ◽

pp. 401-410 ◽

Author(s):

Yuzhu Huang

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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Neural-network-based online optimal control for uncertain non-linear continuous-time systems with control constraints

IET Control Theory and Applications ◽

10.1049/iet-cta.2013.0472 ◽

2013 ◽

Vol 7 (17) ◽

pp. 2037-2047 ◽

Author(s):

Xiong Yang ◽

Yuzhu Huang ◽

Derong Liu

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Control Constraints ◽

Continuous Time Systems ◽

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Finite horizon minimax optimal control of nonlinear continuous time systems with stochastic uncertainty

Proceedings of the 36th IEEE Conference on Decision and Control ◽

10.1109/cdc.1997.657110 ◽

2002 ◽

Author(s):

V.A. Ugrinovskii ◽

I.R. Petersen

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Finite Horizon ◽

Stochastic Uncertainty ◽

Minimax Optimal Control ◽

Continuous Time Systems ◽

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Adaptive neural network-based optimal control of nonlinear continuous-time systems in strict-feedback form

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.2432 ◽

2013 ◽

Vol 28 (3-5) ◽

pp. 305-324 ◽

Author(s):

H. Zargarzadeh ◽

T. Dierks ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Optimal Control ◽

Continuous Time ◽

Adaptive Neural Network ◽

Feedback Form ◽

Continuous Time Systems ◽

Time Systems ◽

Strict Feedback

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Model-free Q-learning over finite horizon for uncertain linear continuous-time systems

2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) ◽

10.1109/adprl.2014.7010629 ◽

2014 ◽

Author(s):

Hao Xu ◽

S. Jagannathan

Keyword(s):

Continuous Time ◽

Finite Horizon ◽

Continuous Time Systems ◽

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