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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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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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 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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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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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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Finite horizon optimal tracking control of partially unknown linear continuous-time systems using policy iteration

IET Control Theory and Applications ◽

10.1049/iet-cta.2014.1325 ◽

2015 ◽

Vol 9 (12) ◽

pp. 1791-1801 ◽

Author(s):

Chao Li ◽

Derong Liu ◽

Hongliang Li

Keyword(s):

Continuous Time ◽

Tracking Control ◽

Policy Iteration ◽

Finite Horizon ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

Continuous Time Systems ◽

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Optimal control for uncertain random continuous-time systems

Optimization ◽

10.1080/02331934.2021.2017429 ◽

2021 ◽

pp. 1-44

Author(s):

Xin Chen ◽

Yuanguo Zhu ◽

Bo Li

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Continuous Time Systems ◽

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ℒ/sub ∞/-optimal control of SISO continuous time systems and its rational approximations

Proceedings of 1994 33rd IEEE Conference on Decision and Control ◽

10.1109/cdc.1994.411049 ◽

2002 ◽

Author(s):

Z.-Q. Wang ◽

M. Sznaier

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Rational Approximations ◽

Continuous Time Systems ◽

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Adaptive H>inf<2>/inf<optimal control based on Smith predictor for continuous-time systems with unknown time delay

2005 International Conference on Control and Automation ◽

10.1109/icca.2005.1528109 ◽

2005 ◽

Author(s):

X.M. Ren ◽

A.B. Rad ◽

W.L. Lo ◽

P.T. Chan

Keyword(s):

Optimal Control ◽

Continuous Time ◽

Smith Predictor ◽

Continuous Time Systems ◽

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