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Sliding-Mode Fuzzy Controllers

1st ed. 2021., 2021

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Fuel-Optimal Ascent Trajectory Problem for Launch Vehicle via Theory of Functional Connections

International journal of aerospace engineering, 2021-09, Vol.2021, p.1-13

2021

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Interpolation-Based Modeling Methodology for Efficient Aeroelastic Control of a Folding Wing

International journal of aerospace engineering, 2021, Vol.2021, p.1-20

2021

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Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor

Computers and electronics in agriculture, 2015-07, Vol.115, p.78-87

2015

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Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm

IEEE transactions on cybernetics, 2013-02, Vol.43 (1), p.170-179

2013

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Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model

Sensors (Basel, Switzerland), 2016-08, Vol.16 (9), p.1406-1406

2016

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Robotics, Computer Vision and Intelligent Systems: First International Conference, ROBOVIS 2020, Virtual Event, November 4-6, 2020, and Second International Conference, ROBOVIS 2021, Virtual Event, October 27-28, 2021, Revised Selected Papers

1st Edition 2022, 2022

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Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning

Erdal Kayacan, Mojtaba Ahmadieh Khanesar

1, 2015

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Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization

IEEE access, 2020, Vol.8, p.1653-1669

2020

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An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots

Journal of intelligent & robotic systems, 2020-02, Vol.97 (2), p.387-398

2020

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Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters

Proceedings of the Institution of Mechanical Engineers. Part G, Journal of aerospace engineering, 2018-06, Vol.232 (8), p.1442-1453

2018

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Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions

IEEE/ASME transactions on mechatronics, 2017-02, Vol.22 (1), p.339-348

2017

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Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots

Robotics (Basel), 2022-10, Vol.11 (5), p.109

2022

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Can Deep Models Help a Robot to Tune Its Controller? A Step Closer to Self-Tuning Model Predictive Controllers

Electronics (Basel), 2021-09, Vol.10 (18), p.2187

2021

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Transfer learning on convolutional activation feature as applied to a building quality assessment robot

International journal of advanced robotic systems, 2017-06, Vol.14 (3), p.172988141771262

2017

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Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge

IEEE transactions on fuzzy systems, 2020-07, Vol.28 (7), p.1492-1503

2020

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Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks

International journal of aerospace engineering, 2017-01, Vol.2017, p.1-12

2017

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Learning motion primitives for planning swift maneuvers of quadrotor

Autonomous robots, 2019-10, Vol.43 (7), p.1733-1745

2019

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A constrained instantaneous learning approach for aerial package delivery robots: onboard implementation and experimental results

Autonomous robots, 2019-12, Vol.43 (8), p.2209-2228

2019

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Grey system theory-based models in time series prediction

Expert systems with applications, 2010-03, Vol.37 (2), p.1784-1789

2010

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A Fast Learning Control Strategy for Unmanned Aerial Manipulators

Journal of intelligent & robotic systems, 2019-06, Vol.94 (3-4), p.805-824

2019

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An MPC‐based position controller for a tilt‐rotor tricopter VTOL UAV

Optimal control applications & methods, 2018-01, Vol.39 (1), p.343-356

2018

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Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks-A Novel Learning Algorithm and a Comparative Study

IEEE transactions on industrial electronics (1982), 2015-03, Vol.62 (3), p.1716-1724

2015

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Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers

IEEE/ASME transactions on mechatronics, 2015-02, Vol.20 (1), p.287-298

2015

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UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, p.1158-1164

2020

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Sliding-Mode Fuzzy Controllers

Fuel-Optimal Ascent Trajectory Problem for Launch Vehicle via Theory of Functional Connections

Interpolation-Based Modeling Methodology for Efficient Aeroelastic Control of a Folding Wing

Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor

Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm

Onboard Robust Visual Tracking for UAVs Using a Reliable Global-Local Object Model

Robotics, Computer Vision and Intelligent Systems: First International Conference, ROBOVIS 2020, Virtual Event, November 4-6, 2020, and Second International Conference, ROBOVIS 2021, Virtual Event, October 27-28, 2021, Revised Selected Papers

Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning

Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization

An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots

Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters

Type-2 Fuzzy Logic Trajectory Tracking Control of Quadrotor VTOL Aircraft With Elliptic Membership Functions

Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots

Can Deep Models Help a Robot to Tune Its Controller? A Step Closer to Self-Tuning Model Predictive Controllers

Transfer learning on convolutional activation feature as applied to a building quality assessment robot

Online Deep Fuzzy Learning for Control of Nonlinear Systems Using Expert Knowledge

Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks

Learning motion primitives for planning swift maneuvers of quadrotor

A constrained instantaneous learning approach for aerial package delivery robots: onboard implementation and experimental results

Grey system theory-based models in time series prediction

A Fast Learning Control Strategy for Unmanned Aerial Manipulators

An MPC‐based position controller for a tilt‐rotor tricopter VTOL UAV

Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks-A Novel Learning Algorithm and a Comparative Study

Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers

UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance

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