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A Survey of Path Following Control Strategies for UAVs Focused on Quadrotors

Journal of intelligent & robotic systems, 2020-05, Vol.98 (2), p.241-265

2020

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Deep reinforcement learning for quadrotor path following with adaptive velocity

Autonomous robots, 2021, Vol.45 (1), p.119-134

2021

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Quadrotor Path Following and Reactive Obstacle Avoidance with Deep Reinforcement Learning

Journal of intelligent & robotic systems, 2021-12, Vol.103 (4), Article 62

2021

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Design of State-Feedback Controllers for Linear Parameter Varying Systems Subject to Time-Varying Input Saturation

Applied sciences, 2019-09, Vol.9 (17), p.3606

2019

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Optimal state observation using quadratic boundedness: Application to UAV disturbance estimation

International journal of applied mathematics and computer science, 2019-03, Vol.29 (1), p.99-109

2019

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Position-heading quadrotor control using LPV techniques

IET control theory & applications, 2019-04, Vol.13 (6), p.783-794

2019

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Design of shifting state‐feedback controllers for constrained feedback linearized systems: Application to quadrotor attitude control

International journal of robust and nonlinear control, 2024-03, Vol.34 (4), p.2614-2638

2024

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Blinking supervision in a working environment

Journal of biomedical optics, 2016-02, Vol.21 (2), p.025005-025005

2016

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Real-Time Non-Intrusive Assessment of Viewing Distance during Computer Use

Optometry and vision science, 2016-12, Vol.93 (12), p.1525-1531

2016

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Reinforcement Learning versus Model Predictive Control on greenhouse climate control

Computers and electronics in agriculture, 2023-12, Vol.215, p.108372, Article 108372

2023

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Design of shifting state-feedback controllers for LPV systems subject to time-varying saturations via parameter-dependent Lyapunov functions

ISA transactions, 2022-07, Vol.126, p.213-225

2022

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Modelling and adaptive backstepping control for TX-1570 UAV path tracking

Aerospace science and technology, 2014-12, Vol.39, p.342-351

2014

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Deep Reinforcement Learning for Quadrotor Path Following and Obstacle Avoidance

Deep Learning for Unmanned Systems, 2021, p.563-633

2021

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A Zonotopic FDI Approach with LPV-based EKF in Autonomous Vehicles⁎⁎This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SaCoAV (ref. PID2020-114244RB-I00). It is also partially funded by Renault Group through the Industrial Doctorate ”Safety of Autonomous Vehicles” (ref. C12507)

IFAC-PapersOnLine, 2024, Vol.58 (4), p.443-448

2024

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A Zonotopic FDI Approach with LPV-based EKF in Autonomous Vehicles

IFAC-PapersOnLine, 2024, Vol.58 (4), p.443-448

2024

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Estimating External Disturbances in UAVs Using Linear and Spin Momenta

2018 Annual American Control Conference (ACC), 2018, p.4317-4323

2018

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Design of switching state-feedback controllers for linear systems subject to asymmetric saturations

IFAC-PapersOnLine, 2023-01, Vol.56 (2), p.3265-3270

2023

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Design of shifting output-feedback controllers for LPV systems subject to time-varying saturations

IFAC-PapersOnLine, 2022, Vol.55 (35), p.13-18

2022

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Shifting H Linear Parameter Varying State-Feedback Controllers Subject to Time-Varying Input Saturations

IFAC-PapersOnLine, 2020, Vol.53 (2), p.7338-7343

2020

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A Deep Reinforcement Learning Approach for Path Following on a Quadrotor

2020 European Control Conference (ECC), 2020, p.1092-1098

2020

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Shifting H∞ Linear Parameter Varying State-Feedback Controllers Subject to Time-Varying Input Saturations⁎⁎This work has been partially funded by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SCAV (ref. MINECO DPI2017-88403-R) and the SMART project (ref. nQ EFA 153/16 Interreg Cooperation Program POCTEFA 2014-2020). This work has also been partially funded by AGAUR of Generalitat de Catalunya through the Advanced Control Systems (SA

IFAC-PapersOnLine, 2020, Vol.53 (2), p.7338-7343

2020

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Coaxial UAV helicopter control laboratory design

2012 20th Mediterranean Conference on Control & Automation (MED), 2012, p.1591-1596

Morcego, B.

2012

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Modelling and control of a coaxial helicopter UAV in an indoor laboratory

2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 2016, p.117-124

2016

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Path-Flyer: A Benchmark of Quadrotor Path Following Algorithms

2019 IEEE 15th International Conference on Control and Automation (ICCA), 2019, p.633-638

2019

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MIGA, A Software Tool for Nonlinear System Modelling with Modular Neural Networks

Applied intelligence (Dordrecht, Netherlands), 2004-01, Vol.20 (1), p.37-45

2004

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A Survey of Path Following Control Strategies for UAVs Focused on Quadrotors

Deep reinforcement learning for quadrotor path following with adaptive velocity

Quadrotor Path Following and Reactive Obstacle Avoidance with Deep Reinforcement Learning

Design of State-Feedback Controllers for Linear Parameter Varying Systems Subject to Time-Varying Input Saturation

Optimal state observation using quadratic boundedness: Application to UAV disturbance estimation

Position-heading quadrotor control using LPV techniques

Design of shifting state‐feedback controllers for constrained feedback linearized systems: Application to quadrotor attitude control

Blinking supervision in a working environment

Real-Time Non-Intrusive Assessment of Viewing Distance during Computer Use

Reinforcement Learning versus Model Predictive Control on greenhouse climate control

Design of shifting state-feedback controllers for LPV systems subject to time-varying saturations via parameter-dependent Lyapunov functions

Modelling and adaptive backstepping control for TX-1570 UAV path tracking

Deep Reinforcement Learning for Quadrotor Path Following and Obstacle Avoidance

A Zonotopic FDI Approach with LPV-based EKF in Autonomous Vehicles

Estimating External Disturbances in UAVs Using Linear and Spin Momenta

Design of switching state-feedback controllers for linear systems subject to asymmetric saturations

Design of shifting output-feedback controllers for LPV systems subject to time-varying saturations

Shifting H Linear Parameter Varying State-Feedback Controllers Subject to Time-Varying Input Saturations

A Deep Reinforcement Learning Approach for Path Following on a Quadrotor

Coaxial UAV helicopter control laboratory design

Modelling and control of a coaxial helicopter UAV in an indoor laboratory

Path-Flyer: A Benchmark of Quadrotor Path Following Algorithms

MIGA, A Software Tool for Nonlinear System Modelling with Modular Neural Networks

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