Fendy Santoso
Orcid: 0000-0001-8791-9527
According to our database1,
Fendy Santoso
authored at least 37 papers
between 2009 and 2024.
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Bibliography
2024
An In-Depth Examination of Artificial Intelligence-Enhanced Cybersecurity in Robotics, Autonomous Systems, and Critical Infrastructures.
IEEE Trans. Serv. Comput., 2024
Trusted Operations of a Military Ground Robot in the Face of Man-in-the-Middle Cyberattacks Using Deep Learning Convolutional Neural Networks: Real-Time Experimental Outcomes.
IEEE Trans. Dependable Secur. Comput., 2024
A ROS-Based Data-Driven Motion Self-Recognition System Using Deep-Learning Convolutional Neural Networks in a Military Unmanned Ground Vehicle.
Proceedings of the International Joint Conference on Neural Networks, 2024
Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties.
Proceedings of the European Control Conference, 2024
2023
A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties.
Robotics, April, 2023
A Data-Driven Cyber-Physical System Using Deep-Learning Convolutional Neural Networks: Study on False-Data Injection Attacks in an Unmanned Ground Vehicle Under Fault-Tolerant Conditions.
IEEE Trans. Syst. Man Cybern. Syst., 2023
2022
A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input-Multi-Output Nonlinear Uncertain Dynamical Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
2021
A Robust Hybrid of a Feedback Linearization Technique and an Interval Type-2 Fuzzy Control System for the Flapping Angle Dynamics of a Biomimetic Aircraft.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments.
IEEE Trans. Ind. Informatics, 2021
Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle.
IEEE Trans. Ind. Electron., 2021
Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing.
IEEE Trans. Ind. Electron., 2021
Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers.
IEEE Trans. Aerosp. Electron. Syst., 2021
State-of-the-Art Integrated Guidance and Control Systems in Unmanned Vehicles: A Review.
IEEE Syst. J., 2021
Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control.
IEEE Access, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
T2-ETS-IE: A Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference System With the Information Entropy-Based Pruning Technique.
IEEE Trans. Fuzzy Syst., 2020
Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020
2019
Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots.
Appl. Soft Comput., 2019
Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
An Intelligent Control of an Inverted Pendulum Based on an Adaptive Interval Type-2 Fuzzy Inference System.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
2018
IEEE Trans Autom. Sci. Eng., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the 2018 International Conference on Computer, 2018
Entropy Fuzzy System Identification for the Dynamics of the Dragonfly-like Flapping Wing Aircraft.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
Visual-Inertial Navigation Systems for Aerial Robotics: Sensor Fusion and Technology.
IEEE Trans Autom. Sci. Eng., 2017
2015
A New Framework for Rapid Wireless Tracking Verifications Based on Optimized Trajectories in Received Signal Strength Measurements.
IEEE Trans. Syst. Man Cybern. Syst., 2015
IEEE Trans. Control. Syst. Technol., 2015
Robust μ-synthesis Loop Shaping for Altitude Flight Dynamics of a Flying-Wing Airframe.
J. Intell. Robotic Syst., 2015
Range-only distributed navigation protocol for uniform coverage in wireless sensor networks.
IET Wirel. Sens. Syst., 2015
2014
Differential Maximum Ratio Combining (MRC)-Based Throughput Analysis on Dual-Fading Models of Slotted-Aloha CDMA Systems.
Int. J. Wirel. Inf. Networks, 2014
2012
PhD thesis, 2012
2011
Capture Delay Analysis on the Throughputs of Direct-Sequence Code Division Multiple Access (DS-CDMA) with Slotted-ALOHA (S-ALOHA) Systems over Nakagami/Nakagami Fading Channels.
Int. J. Wirel. Inf. Networks, 2011
Proceedings of the 74th IEEE Vehicular Technology Conference, 2011
A Decentralised Self-Dispatch Algorithm for Square-Grid Blanket Coverage Intrusion Detection Systems in Wireless Sensor Networks.
Proceedings of the 74th IEEE Vehicular Technology Conference, 2011
2009
Throughput Analysis of Adaptive Slotted-ALOHA CDMA over a Multipath Fading Channel with Capture Effects.
Int. J. Wirel. Inf. Networks, 2009