Explicit reference governor for continuous time nonlinear systems subject to convex constraints

2015 American Control Conference (ACC) ◽

10.1109/acc.2015.7172047 ◽

2015 ◽

Author(s):

Marco M. Nicotra ◽

Emanuele Garone

Keyword(s):

Nonlinear Systems ◽

Continuous Time ◽

Convex Constraints ◽

Explicit Reference ◽

Reference Governor

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An Explicit Reference Governor for the robust constrained control of nonlinear systems

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7798479 ◽

2016 ◽

Author(s):

Marco M. Nicotra ◽

Emanuele Garone

Keyword(s):

Nonlinear Systems ◽

Constrained Control ◽

Explicit Reference ◽

Reference Governor

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The Explicit Reference Governor: A General Framework for the Closed-Form Control of Constrained Nonlinear Systems

IEEE Control Systems Magazine ◽

10.1109/mcs.2018.2830081 ◽

2018 ◽

Vol 38 (4) ◽

pp. 89-107 ◽

Author(s):

Marco M. Nicotra ◽

Emanuele Garone

Keyword(s):

Nonlinear Systems ◽

Closed Form ◽

General Framework ◽

Explicit Reference ◽

Constrained Nonlinear Systems ◽

Reference Governor

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Explicit Reference Governor for Constrained Nonlinear Systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.2015.2476195 ◽

2016 ◽

Vol 61 (5) ◽

pp. 1379-1384 ◽

Author(s):

Emanuele Garone ◽

Marco M. Nicotra

Keyword(s):

Nonlinear Systems ◽

Explicit Reference ◽

Constrained Nonlinear Systems ◽

Reference Governor

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Identification of Continuous-time Nonlinear Systems via Local Gaussian Process Models

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.1708 ◽

2014 ◽

Vol 134 (11) ◽

pp. 1708-1715

Author(s):

Tomohiro Hachino ◽

Kazuhiro Matsushita ◽

Hitoshi Takata ◽

Seiji Fukushima ◽

Yasutaka Igarashi

Keyword(s):

Nonlinear Systems ◽

Gaussian Process ◽

Continuous Time ◽

Process Models ◽

Gaussian Process Models

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Design of observers for continuous-time nonlinear systems using neural networks

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1383829 ◽

2004 ◽

Author(s):

A. Alessandri ◽

C. Cervellera ◽

A.F. Grassia ◽

M. Sanguineti

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Continuous Time

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Approximate Optimal Tracking Control of Nondifferentiable Signals for a Class of Continuous-Time Nonlinear Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3027344 ◽

2020 ◽

pp. 1-10

Author(s):

Yue Fu ◽

Chengwen Hong ◽

Jun Fu ◽

Tianyou Chai

Keyword(s):

Nonlinear Systems ◽

Continuous Time ◽

Tracking Control ◽

Optimal Tracking ◽

Optimal Tracking Control

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Continuous-time synthesizing robust sampled-data dynamic output-feedback controllers for uncertain nonlinear systems in Takagi–Sugeno form: A descriptor representation approach

Information Sciences ◽

10.1016/j.ins.2021.02.032 ◽

2021 ◽

Author(s):

Jaejun Lee ◽

Ji Hyun Moon ◽

Ho Jae Lee

Keyword(s):

Nonlinear Systems ◽

Output Feedback ◽

Continuous Time ◽

Dynamic Output Feedback ◽

Uncertain Nonlinear Systems ◽

Sampled Data ◽

Feedback Controllers ◽

Dynamic Output ◽

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Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3045087 ◽

2021 ◽

pp. 1-10

Author(s):

Tao Bian ◽

Zhong-Ping Jiang

Keyword(s):

Optimal Control ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Value Iteration ◽

Adaptive Optimal Control ◽

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Trajectory tracking control with preview action for a class of continuous-time Lur’e-type nonlinear systems

Advances in Difference Equations ◽

10.1186/s13662-020-02753-3 ◽

2020 ◽

Vol 2020 (1) ◽

Author(s):

Xiao Yu ◽

Li Li

Keyword(s):

Nonlinear Systems ◽

Trajectory Tracking ◽

Continuous Time ◽

Tracking Control ◽

Trajectory Tracking Control

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Continuous-time Predictive Control of Constrained Nonlinear Systems

Nonlinear Model Predictive Control ◽

10.1007/978-3-0348-8407-5_12 ◽

2000 ◽

pp. 205-215 ◽

Author(s):

Mark Cannon ◽

Basil Kouvaritakis

Keyword(s):

Nonlinear Systems ◽

Predictive Control ◽

Continuous Time ◽

Constrained Nonlinear Systems

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