localRefs.bib

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  title={Disturbance Observer-Based Neural Network Control of a 2-DOF Helicopter System With Input Saturation and Output Constraints}, 
  year={2025},
  volume={55},
  number={5},
  pages={3152-3162},
  doi={10.1109/TSMC.2025.3538990},
  dev_link={\dtlink{x-devonthink-item://F25C38A0-8B80-49B6-8103-0C9EFB2785E0}}  
  }


@article{Esfandiari:2017aa,
title = {Adaptive near-optimal neuro controller for continuous-time nonaffine nonlinear systems with constrained input},
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pages = {195-204},
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issn = {0893-6080},
doi = {https://doi.org/10.1016/j.neunet.2017.05.013},
url = {https://www.sciencedirect.com/science/article/pii/S0893608017301363},
author = {Kasra Esfandiari and Farzaneh Abdollahi and Heidar Ali Talebi},
keywords = {Adaptive control, Optimal control, Neural networks, Nonaffine nonlinear systems},
dev_link={\dtlink{x-devonthink-item://5F48EAAA-5BDA-4938-848A-7EBF32F1AAE0}}
}

@article{Mousavinejad:2017aa,
author = {Eman Mousavinejad and Qing-Long Han and Fuwen Yang and Yong Zhu and Ljubo Vlacic},
title = {Integrated control of ground vehicles dynamics via advanced terminal sliding mode control},
journal = {Vehicle System Dynamics},
volume = {55},
number = {2},
pages = {268--294},
year = {2017},
publisher = {Taylor \& Francis},
doi = {10.1080/00423114.2016.1256489},
URL = {https://doi.org/10.1080/00423114.2016.1256489},
eprint = {https://doi.org/10.1080/00423114.2016.1256489},
dev_link = {\dtlink{x-devonthink-item://2CA4E438-20BE-4433-93B7-D2181A91C19A}}
}


@article{Liang:2020aa,
author = {Yixiao Liang and Yinong Li and Yinghong Yu and Ling Zheng},
title = {Integrated lateral control for 4WID/4WIS vehicle in high-speed condition considering the magnitude of steering},
journal = {Vehicle System Dynamics},
volume = {58},
number = {11},
pages = {1711--1735},
year = {2020},
publisher = {Taylor \& Francis},
doi = {10.1080/00423114.2019.1645343},
URL = {https://doi.org/10.1080/00423114.2019.1645343},
eprint = {https://doi.org/10.1080/00423114.2019.1645343},
dev_link = {\dtlink{x-devonthink-item://6CA4AC69-0ED4-4749-8689-4A6DB7D9087C}}
}


@INPROCEEDINGS{Guan:2024aa,
  author={Guan, Yihang and Zhou, Hongliang and He, Zhen and Liu, Haifeng},
  booktitle={2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)}, 
  title={Enhancing Yaw Tracking Stability in 4WS Vehicles: An Output Redefinition Approach to Overcoming Nonminimum-Phase Challenges}, 
  year={2024},
  volume={},
  number={},
  pages={1211-1216},
  keywords={PI control;System performance;Simulation;Force;Wheels;Focusing;Transforms;4WS;Yaw Tracking;Nonminimum-phase;Zero Dynamics;Output Redefinition},
  doi={10.1109/YAC63405.2024.10598775},
  dev_link={\dtlink{x-devonthink-item://53C06BCA-924F-4CDA-B9D2-942A04FE83FE}}
  }


@Article{Park:2025aa,
AUTHOR = {Park, Heung-Sik and Kim, Moon-Sik},
TITLE = {Development of a Path Tracker Based on a 4WS Vehicle for Low-Speed Automated Driving Systems},
JOURNAL = {Applied Sciences},
VOLUME = {15},
YEAR = {2025},
NUMBER = {6},
ARTICLE-NUMBER = {3043},
URL = {https://www.mdpi.com/2076-3417/15/6/3043},
ISSN = {2076-3417},
DOI = {10.3390/app15063043},
dev_link = {\dtlink{x-devonthink-item://ED86D511-D9CF-427F-9956-1D17A0E79D58}}
}


@article{Cheon:2024aa,
title = "Tire Normal Force Estimation Based on Integrated Suspension State Measurement",
keywords = "Gaussian road model, observability, semi-active suspension, vertical tire force observer",
author = "Dasol Cheon and Wonhyeok Choi and Kanghyun Nam and Sehoon Oh",
year = "2024",
month = jun,
doi = "10.1007/s12555-023-0768-x",
language = "English",
volume = "22",
pages = "1902--1911",
journal = "International Journal of Control, Automation and Systems",
issn = "1598-6446",
publisher = "Institute of Control, Robotics and Systems",
number = "6",
dev_link = {\dtlink{x-devonthink-item://87014DC7-BD17-4B17-9EB0-FAD966EC641A}}
}

@BOOK{Ji:2025aa,
  title     = "Constrained nonlinear control: Performance and robustness",
  author    = "Ji, Ruihang and Ge, Shuzhi Sam and Li, Dongyu",
  publisher = "Springer Nature",
  month     =  may,
  year      =  2025,
  address   = "Cham, Switzerland",
  copyright = "https://www.springernature.com/gp/researchers/text-and-data-mining",
  language  = "en",
  url = {https://doi.org/10.1007/978-981-96-2971-8},
  doi = {10.1007/978-981-96-2971-8},
  dev_link={\dtlink{x-devonthink-item://D6FA581F-DDA3-4B05-8136-D28FF4D72C8E}}
}

@ARTICLE{Yu:2022aa,
  author={Yu, Dengxiu and Long, Jia and Chen, C. L. Philip and Wang, Zhen},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, 
  title={Adaptive Swarm Control Within Saturated Input Based on Nonlinear Coupling Degree}, 
  year={2022},
  volume={52},
  number={8},
  pages={4900-4911},
  keywords={Couplings;Nonlinear dynamical systems;Topology;Directed graphs;Control systems;Adaptive systems;Optical switches;Adaptive swarm control;backstepping;input saturation;nonlinear coupling degree},
  doi={10.1109/TSMC.2021.3102587},
  dev_link={\dtlink{x-devonthink-item://CD8C5569-5AF8-4E3F-ACF5-BDBD750C37B9}}  
  }

@ARTICLE{Gao:2026aa,
  author={Gao, Hejia and Liu, Jiangxu and Yu, Zele and Sun, Changyin},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, 
  title={Reinforcement Learning-Based Adaptive Vibration Control of Flexible Two-Link Manipulator Systems With Input Saturation}, 
  year={2026},
  volume={},
  number={},
  pages={1-13},
  keywords={Robots;Vibrations;Mathematical models;Manipulator dynamics;Artificial neural networks;Artificial intelligence;Actuators;Control systems;Adaptive control;Adaptation models;Flexible manipulator;input saturation;neural network (NN);reinforcement learning (RL);vibration control},
  doi={10.1109/TSMC.2025.3648063},
  dev_link={\dtlink{x-devonthink-item://B3A498AD-FD10-478B-8097-5FF8F1A53358}}}


@article{Chen:2011aa,
title = {Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints},
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year = {2011},
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url = {https://www.sciencedirect.com/science/article/pii/S0005109811000409},
author = {Mou Chen and Shuzhi Sam Ge and Beibei Ren},
keywords = {Nonlinear systems, Input constraint, Command filter, Adaptive tracking control, Backstepping control},
dev_link = {\dtlink{x-devonthink-item://075FD9BA-EBD8-468A-BD05-F0E7E795A16D}}
}

@article{Zhao:2016aa,
author = {Zhao, Feng and Ge, Shuzhi Sam and Tu, Fangwen and Qin, Yechen and Dong, Mingming},
title = {Adaptive neural network control for active suspension system with actuator saturation},
journal = {IET Control Theory \& Applications},
volume = {10},
number = {14},
pages = {1696-1705},
doi = {https://doi.org/10.1049/iet-cta.2015.1317},
url = {https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-cta.2015.1317},
eprint = {https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2015.1317},
year = {2016},
dev_link={\dtlink{x-devonthink-item://015F783B-0501-459C-8A0F-68E9E8C61B7A}}
}
@Article{Bunch:1977aa,
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  title   = {Some stable methods for calculating inertia and solving symmetric linear systems},
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  number  = {137},
  pages   = {163--179},
  year    = {1977},
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}

@book{Nocedal:2006aa,
  added-at = {2009-08-21T12:21:08.000+0200},
  address = {New York, NY},
  author = {Nocedal, {Jorge} and Wright, {Stephen J.}},
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  ppn_gvk = {502988711},
  publisher = {Springer},
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  timestamp = {2009-08-21T12:21:09.000+0200},
  title = {Numerical optimization},
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}


@BOOK{Rajamani:2011aa,
  title     = "Vehicle dynamics and control",
  author    = "Rajamani, Rajesh",
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  edition   =  2,
  month     =  dec,
  year      =  2012,
  address   = "New York, NY",
  copyright = "https://www.springernature.com/gp/researchers/text-and-data-mining",
  language  = "en",
  doi = {10.1007/978-1-4614-1433-9},
  dev_link={\dtlink{x-devonthink-item://DABB6798-CEA4-4800-81B3-7DAC53FF1841}}
}


@book{Bernstein:2009aa,
  url = {https://doi.org/10.1515/9781400833344},
  title = {Matrix Mathematics: Theory, Facts, and Formulas (Second Edition)},
  author = {Dennis S. Bernstein and Dennis S. Bernstein},
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  doi = {doi:10.1515/9781400833344},
  isbn = {9781400833344},
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  lastchecked = {2026-01-31},
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}


@ARTICLE{Gao:2006aa,
  author={Wenzhi Gao and Selmic, R.R.},
  journal={IEEE Transactions on Neural Networks}, 
  title={Neural network control of a class of nonlinear systems with actuator saturation}, 
  year={2006},
  volume={17},
  number={1},
  pages={147-156},
  keywords={Neural networks;Nonlinear control systems;Control systems;Nonlinear systems;Actuators;Stability;Robots;Manipulator dynamics;System performance;Uncertainty;Actuator nonlinearities;Brunovsky canonical form;neural network (NN);saturation compensation;stability},
  doi={10.1109/TNN.2005.863416},
  dev_link={\dtlink{x-devonthink-item://8B546FF5-CDEB-4508-AB2A-6E7746BAF8C4}}}


@ARTICLE{Patil:2022aa,
  author={Patil, Omkar Sudhir and Le, Duc M. and Greene, Max L. and Dixon, Warren E.},
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  title={Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network}, 
  year={2022},
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  keywords={Artificial neural networks;Real-time systems;Training;Adaptive systems;Function approximation;Feedforward systems;Taylor series;Deep neural networks;deep learning;adaptive control;Lyapunov methods;nonlinear control systems},
  doi={10.1109/LCSYS.2021.3134914},
  dev_link={\dtlink{x-devonthink-item://8949154B-C7CE-4824-8F79-4F6A3826F607}}}


@InProceedings{Kidger:2020aa,
  title = 	 {{Universal Approximation with Deep Narrow Networks}},
  author =       {Kidger, Patrick and Lyons, Terry},
  booktitle = 	 {Proceedings of Thirty Third Conference on Learning Theory},
  pages = 	 {2306--2327},
  year = 	 {2020},
  editor = 	 {Abernethy, Jacob and Agarwal, Shivani},
  volume = 	 {125},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {09--12 Jul},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v125/kidger20a/kidger20a.pdf},
  url = 	 {https://proceedings.mlr.press/v125/kidger20a.html}
}


@inproceedings{
  Rolnick:2018aa,
  title={The power of deeper networks for expressing natural functions},
  author={David Rolnick and Max Tegmark},
  booktitle={International Conference on Learning Representations},
  year={2018},
  url={https://openreview.net/forum?id=SyProzZAW},
}

@ARTICLE{Barron:1993aa,
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  doi={10.1109/18.256500},
  dev_link={\dtlink{x-devonthink-item://BECDFD19-E440-4B47-9BB9-31AE364E9161}}}


@ARTICLE{Esfandiari:2015aa,
  author={Esfandiari, Kasra and Abdollahi, Farzaneh and Talebi, Heidar Ali},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={Adaptive Control of Uncertain Nonaffine Nonlinear Systems With Input Saturation Using Neural Networks}, 
  year={2015},
  volume={26},
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  pages={2311-2322},
  keywords={Nonlinear systems;Artificial neural networks;Approximation methods;Vectors;Algorithm design and analysis;Stability analysis;Adaptive control;back-propagation (BP) algorithm;input constraints;neural networks (NNs);nonaffine nonlinear systems.;Adaptive control;back-propagation (BP) algorithm;input constraints;neural networks (NNs);nonaffine nonlinear systems},
  doi={10.1109/TNNLS.2014.2378991},
  dev_link={\dtlink{x-devonthink-item://1BA41498-A298-46C6-A65E-36748F1A7B25}}}

@article{Esfandiari:2014aa,
title = {A Stable Nonlinear in Parameter Neural Network Controller for a Class of Saturated Nonlinear Systems},
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url = {https://www.sciencedirect.com/science/article/pii/S1474667016419907},
author = {K. Esfandiari and F. Abdollahi and H.A. Talebi},
keywords = {Adaptive tracking control, Back propagation algorithm, Input saturation, Neural networks, Nonlinear systems},
  dev_link={\dtlink{x-devonthink-item://92E86E60-E815-4392-8148-1402DBEE4302}}
}

@INPROCEEDINGS{Jang:2025aa,
  author={Jang, Seunghun and Ryu, Myeongseok and Choi, Kyunghwan},
  booktitle={IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society}, 
  title={Physics-Informed Online Learning of Flux Linkage Model for Synchronous Machines}, 
  year={2025},
  volume={},
  number={},
  pages={1-6},
  keywords={Couplings;Training;Learning systems;Permanent magnet machines;Adaptation models;Simulation;Optimal control;Stators;Synchronous machines;Optimization;Physics-informed learning;stator flux linkages;synchronous machines (SMs);online identification},
  doi={10.1109/IECON58223.2025.11221587},
  dev_link={\dtlink{x-devonthink-item://0E06893C-62FC-4EBF-AC6A-EB9B605F045F}}}

@INPROCEEDINGS{Ryu:2023aa,
  author={Ryu, Myeongseok and Ha, Junseo and Kim, Minji and Choi, Kyunghwan},
  booktitle={2023 International Workshop on Intelligent Systems (IWIS)}, 
  title={A Comparative Study of Reinforcement Learning and Analytical Methods for Optimal Control}, 
  year={2023},
  volume={},
  number={},
  pages={1-5},
  keywords={Conferences;Optimal control;Reinforcement learning;Games;Aerospace electronics;Natural language processing;Dynamic programming;Optimal Control;Reinforcement Learning;Dy-namic Programming;Model Predictive Control},
  doi={10.1109/IWIS58789.2023.10284677}}


@INPROCEEDINGS{Ryu:2025ab,
  author={Ryu, Myeongseok and Kim, Jiyun and Choi, Kyunghwan},
  booktitle={2025 European Control Conference (ECC)}, 
  title={Imposing a Weight Norm Constraint for Neuro-Adaptive Control}, 
  year={2025},
  volume={},
  number={},
  pages={380-385},
  keywords={Simulation;Estimation;Optimization methods;Europe;Numerical simulation;Manipulators;Stability analysis;Safety;Error correction codes;Numerical stability},
  doi={10.23919/ECC65951.2025.11186942},
  dev_link={\dtlink{x-devonthink-item://99EB23D7-BD1E-4DDB-BE0B-0F934CD92973}}}


@INPROCEEDINGS{Ryu:2025aa,
  author={Ryu, Myeongseok and Monzen, Niklas and Seitter, Pascal and Choi, Kyunghwan and Hackl, Christoph M.},
  booktitle={IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society}, 
  title={Constrained Optimization-Based Neuro-Adaptive Control (CONAC) for Synchronous Machine Drives Under Voltage Constraints}, 
  year={2025},
  volume={},
  number={},
  pages={1-7},
  keywords={Uncertain systems;Uncertainty;Artificial neural networks;Numerical simulation;Robustness;Numerical models;Synchronous machines;Voltage control;Optimization;Lagrangian functions;Synchronous Machine Drives;Constrained Optimization;Neuro-Adaptive Control},
  doi={10.1109/IECON58223.2025.11221692},
  dev_link={\dtlink{x-devonthink-item://AC8C02AE-321D-41EF-99FD-EB96DBF3F1AC}}}


@ARTICLE{He:2016aa,
  author={He, Wei and Dong, Yiting and Sun, Changyin},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems}, 
  title={Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation}, 
  year={2016},
  volume={46},
  number={3},
  pages={334-344},
  keywords={Impedance;Adaptive systems;Manipulators;Artificial neural networks;Control design;Adaptation models;Adaptive neural network (NN) control;impedance control;input saturation;learning control;nonlinear system;robot;Adaptive neural network (NN) control;impedance control;input saturation;learning control;nonlinear system;robot},
  doi={10.1109/TSMC.2015.2429555},
  dev_link={\dtlink{x-devonthink-item://3A64190F-BDF3-4086-B740-78578DBB3AA3}}}


@ARTICLE{Li:2024aa,
  title     = "Finite-time adaptive fuzzy control of nonlinear systems with actuator faults and input saturation",
  author    = "Li, Jiafeng and Ji, Ruihang and Liang, Xiaoling and Yan, Hao and Ge, Shuzhi Sam",
  journal   = "Neural Comput. Appl.",
  publisher = "Springer Science and Business Media LLC",
  volume    =  36,
  number    =  7,
  pages     = "3569--3581",
  month     =  mar,
  year      =  2024,
  copyright = "https://www.springernature.com/gp/researchers/text-and-data-mining",
  language  = "en",
  doi = {10.1007/s00521-023-09222-4},
  dev_link={\dtlink{x-devonthink-item://E427C5C9-BEC2-4CE1-915F-E1E6777440BF}}
}


@INPROCEEDINGS{Gessow:2023aa,
  author={Gessow, Samuel G. and Lopez, Brett T.},
  booktitle={2023 62nd IEEE Conference on Decision and Control (CDC)}, 
  title={Adaptive Robust Control Contraction Metrics: Transient Bounds in Adaptive Control with Unmatched Uncertainties}, 
  year={2023},
  volume={},
  number={},
  pages={3541-3546},
  keywords={Measurement;Robust control;Adaptation models;Sufficient conditions;Uncertainty;Trajectory tracking;Simulation},
  doi={10.1109/CDC49753.2023.10384247},
  dev_link={\dtlink{x-devonthink-item://C15AE9DB-7443-4AB4-9267-0CB03EFBC2AD}}}


@INPROCEEDINGS{Marani:2025aa,
  author={Marani, Yasmine and Filho, Israel and Al-Naffouri, Tareq and Laleg Kirati, Taous Meriem},
  booktitle={2025 European Control Conference (ECC)}, 
  title={Unsupervised Physics-Informed Neural Network-Based Nonlinear Observer Design for Autonomous Systems Using Contraction Analysis}, 
  year={2025},
  volume={},
  number={},
  pages={2327-2332},
  keywords={Neural networks;Noise;Measurement uncertainty;Observers;Numerical simulation;Approximation error;Stability analysis;Robustness;Noise measurement;Nonlinear systems},
  doi={10.23919/ECC65951.2025.11186841},
  dev_link={\dtlink{x-devonthink-item://60CBD77B-4E69-4EFE-B6CE-2C8522148593}}}


@inproceedings{Ames:2019aa,
	author = {Ames, Aaron D. and Coogan, Samuel and Egerstedt, Magnus and Notomista, Gennaro and Sreenath, Koushil and Tabuada, Paulo},
	booktitle = {2019 18th European Control Conference (ECC)},
	date-added = {2025-12-12 16:01:26 +0900},
	date-modified = {2025-12-12 16:01:26 +0900},
	doi = {10.23919/ECC.2019.8796030},
	pages = {3420-3431},
	title = {Control Barrier Functions: Theory and Applications},
	url = {https://doi.org/10.23919/ECC.2019.8796030},
	year = {2019},
  dev_link={\dtlink{x-devonthink-item://D56CB699-D234-4067-8D1F-63E215FA9002}}
	}

@book{Khalil:2002aa,
	address = {Upper Saddle River, NJ},
	author = {Khalil, Hassan K},
	date-added = {2025-12-12 16:01:26 +0900},
	date-modified = {2025-12-12 16:01:26 +0900},
	publisher = {Prentice-Hall},
	title = {{Nonlinear systems; 3rd ed.}},
	url = {https://cds.cern.ch/record/1173048},
	year = {2002},
	dev_link={\dtlink{x-devonthink-item://F4012004-2C2C-4882-9EF7-E886D7DA951D}}}

@ARTICLE{Liu:2023aa,
  author={Liu, Yan-Jun and Zhao, Wei and Liu, Lei and Li, Dapeng and Tong, Shaocheng and Chen, C. L. Philip},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={Adaptive Neural Network Control for a Class of Nonlinear Systems With Function Constraints on States}, 
  year={2023},
  volume={34},
  number={6},
  pages={2732-2741},
  keywords={Nonlinear systems;Time-varying systems;Artificial neural networks;Adaptive control;Backstepping;Tools;MIMO communication;Adaptive control;full state constraints;neural networks (NNs);nonlinear systems},
  doi={10.1109/TNNLS.2021.3107600},
  dev_link={\dtlink{x-devonthink-item://43AF6502-57DF-4AD8-8B69-CBAE6DE45BD2}}}

@INPROCEEDINGS{Xiao:2019aa,
  author={Xiao, Wei and Belta, Calin},
  booktitle={2019 IEEE 58th Conference on Decision and Control (CDC)}, 
  title={Control Barrier Functions for Systems with High Relative Degree}, 
  year={2019},
  volume={},
  number={},
  pages={474-479},
  keywords={Cruise control;Optimization;Lyapunov methods;Optimal control;Vehicle dynamics},
  doi={10.1109/CDC40024.2019.9029455},
  dev_link={\dtlink{x-devonthink-item://F58D3570-EBB6-46D0-8FC2-F6BED21E6348}}}

@INPROCEEDINGS{Agrawal:2021aa,
  author={Agrawal, Devansh R. and Panagou, Dimitra},
  booktitle={2021 60th IEEE Conference on Decision and Control (CDC)}, 
  title={Safe Control Synthesis via Input Constrained Control Barrier Functions}, 
  year={2021},
  volume={},
  number={},
  pages={6113-6118},
  keywords={Space vehicles;Simulation;Conferences;Robustness;Real-time systems;Safety;Numerical models},
  doi={10.1109/CDC45484.2021.9682938},
  dev_link={\dtlink{x-devonthink-item://16269409-3BB8-4584-BD0A-52A092EFAF5B}}}

@ARTICLE{Thenozhi:2022aa,
  author={Thenozhi, Suresh and Sánchez, Antonio Concha and Rodríguez-Reséndiz, Juvenal},
  journal={IEEE Transactions on Industrial Electronics}, 
  title={A Contraction Theory-Based Tracking Control Design With Friction Identification and Compensation}, 
  year={2022},
  volume={69},
  number={6},
  pages={6111-6120},
  keywords={Friction;Observers;Adaptation models;Uncertainty;Trajectory;Jacobian matrices;Estimation;Backstepping design;contraction analysis;extended state observer;friction compensation;friction identification;nonlinear least squares;tracking control},
  doi={10.1109/TIE.2021.3094456},
  dev_link={\dtlink{x-devonthink-item://9A7AFE3F-7B28-4EAE-AE0F-DDE2F3082304}}
  }


@ieeetranbstctl{IEEEexample:BSTcontrol,
	ctluse_doi = {no},
	ctluse_paper = {yes},
	ctluse_url = {no}}