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61

Impedance-Based Gaussian Processes for Modeling Human Motor Behavior in Physical and Non-Physical Interaction.
Medina, Jose R. ; Borner, Hendrik ; Endo, Satoshi ; et al.
IEEE Transactions on Biomedical Engineering. Sep2019, Vol. 66 Issue 9, p2499-2511. 13p.

HUMAN behavior models GAUSSIAN processes HUMAN behavior MECHANICAL impedance HUMAN-robot interaction SURGICAL robots
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62

Sparse online Gaussian process regression-based robust nonlinear dynamic inversion for multirotor with forward flight ground effect
Lee, Jayden Dongwoo ; Kim, Youngjae ; Kim, Lamsu ; et al.
In Aerospace Science and Technology July 2025 162

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63

A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking.
Buelta, Almudena ; Olivares, Alberto ; Staffetti, Ernesto ; et al.
IEEE Transactions on Aerospace & Electronic Systems. Dec2021, Vol. 57 Issue 6, p3962-3973. 12p.

AIR filters ITERATIVE learning contr... GAUSSIAN processes KRIGING MACHINE learning KALMAN filtering
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64

Machine learning-based predictive modelling of wine fermentation dynamics using temperature control data
Sanchez-Roca, Angel ; Jiménez-Macías, Emilio ; Latorre-Biel, Juan-Ignacio ; et al.
In Journal of Food Engineering June 2026 412

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65

Kalman Filtering for Discrete-Time Linear Systems with Infinite-Dimensional Observations
Varley, Maxwell M. ; Molloy, Timothy L. ; Nair, Girish N.
2022 American Control Conference (ACC) Control Conference (ACC), 2022 American. :296-303 Jun, 2022

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66

Discrepancy Modeling Framework: Learning Missing Physics, Modeling Systematic Residuals, and Disambiguating between Deterministic and Random Effects.
Ebers, Megan R. ; Steele, Katherine M. ; Kutz, J. Nathan
SIAM Journal on Applied Dynamical Systems. 2024, Vol. 23 Issue 1, p440-469. 30p.

KRIGING PHYSICAL sciences PHYSICS SIGNAL-to-noise ratio DYNAMICAL systems STATISTICAL learning
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67

Output-driven robust adaptive trajectory tracking using gaussian processes with safety and stability guarantees
Tang, Meiqi ; Fu, Junjie
In Journal of the Franklin Institute 15 January 2026 363(2)

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68

Voltage Regulation in Polymer Electrolyte Fuel Cell Systems Using Gaussian Process Model Predictive Control
Li, Xiufei ; Yang, Miao ; Zhang, Miao ; et al.
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Intelligent Robots and Systems (IROS), 2024 IEEE/RSJ International Conference on. :11456-11461 Oct, 2024

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69

State estimation for nonlinear dynamic systems using Gaussian processes and pre-computed local linear models
Xiaoke Yang ; Bo Peng ; Hang Zhou ; et al.
2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) Guidance, Navigation and Control Conference (CGNCC), 2016 IEEE Chinese. :1963-1968 Aug, 2016

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70

Learning-Enhanced Active Vehicle Suspension Control Using Preview-augmented Model Predictive Control and Gaussian Process
Mazouchi, Majid ; Li, Zhaojian ; Srivastava, Vaibhav ; et al.
In IFAC PapersOnLine 2024 58(28):246-251

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71

Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform*
Hesse, M. ; Timmermann, J. ; Trachtler, A.
2023 European Control Conference (ECC) Control Conference (ECC), 2023 European. :1-8 Jun, 2023

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72

Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG.
Zeng, Yan ; Yang, JianTao ; Peng, Cheng ; et al.
IEEE Transactions on Biomedical Engineering. Sep2019, Vol. 66 Issue 9, p2556-2565. 10p.

MATHEMATICAL models GAUSSIAN processes LEARNING ELECTROMYOGRAPHY MOTION SIGNAL-to-noise ratio …
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73

Accounting for modelling errors in model-based diagnosis by using Gaussian process models
Dolenc, Bostjan ; Stepancic, Martin ; Juricic, Dani ; et al.
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol) Control and Fault-Tolerant Systems (SysTol), 2016 3rd Conference on. :525-530 Sep, 2016

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74

Computationally Tractable Gaussian Process-based Stochastic Predictive Control Using Backoffs
Xie, Mengxu ; Ma, Tong
In IFAC PapersOnLine 2024 58(18):232-237

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75

A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables
Mitrentsis, Georgios ; Lens, Hendrik
In Electric Power Systems Research October 2022 211

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77

Gaussian Process based Feedforward Control for Nonlinear Systems with Flexible Tasks: With Application to a Printer with Friction
van Meer, Max ; Poot, Maurice ; Portegies, Jim ; et al.
In IFAC PapersOnLine 2022 55(37):241-246

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78

Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Su, Shaoshu ; Hao, Ce ; Weaver, Catherine ; et al.
In IFAC PapersOnLine 2023 56(2):7940-7947

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79

Feature selection and Gaussian Process regression for personalized thermal comfort prediction.
Guenther, Janine ; Sawodny, Oliver
Building & Environment. Jan2019, Vol. 148, p448-458. 11p.

Ventilation Air conditioning Thermal comfort Feature selection Gaussian processes
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80

Physics-informed recurrent neural network modeling for predictive control of nonlinear processes
Zheng, Yingzhe ; Hu, Cheng ; Wang, Xiaonan ; et al.
In Journal of Process Control August 2023 128

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