Adolfo Perrusquía
Orcid: 0000-0003-2290-1160
According to our database1,
Adolfo Perrusquía
authored at least 56 papers
between 2016 and 2024.
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Bibliography
2024
IEEE Trans. Syst. Man Cybern. Syst., December, 2024
Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach.
IEEE Trans. Cybern., September, 2024
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
IEEE Veh. Technol. Mag., March, 2024
An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments.
Future Internet, March, 2024
Prescribed Time Interception of Moving Objects' Trajectories Using Robot Manipulators.
Robotics, 2024
Explainable data-driven Q-learning control for a class of discrete-time linear autonomous systems.
Inf. Sci., 2024
Wildfire and smoke early detection for drone applications: A light-weight deep learning approach.
Eng. Appl. Artif. Intell., 2024
Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input.
CoRR, 2024
A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services.
IEEE Access, 2024
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms.
Proceedings of the International Joint Conference on Neural Networks, 2024
Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study.
Proceedings of the 10th International Conference on Control, 2024
2023
Physics Informed Trajectory Inference of a Class of Nonlinear Systems Using a Closed-Loop Output Error Technique.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference.
IEEE Trans. Autom. Control., December, 2023
A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data.
IEEE Trans. Cybern., March, 2023
Reward inference of discrete-time expert's controllers: A complementary learning approach.
Inf. Sci., 2023
Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning.
IEEE CAA J. Autom. Sinica, 2023
A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the 20th International Conference on Electrical Engineering, 2023
Multi-Spectral Fusion using Generative Adversarial Networks for UAV Detection of Wild Fires.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023
A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction.
Proceedings of the 9th International Conference on Control, 2023
2022
IEEE Trans. Cybern., 2022
A complementary learning approach for expertise transference of human-optimized controllers.
Neural Networks, 2022
Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning.
Inf. Sci., 2022
Human-behavior learning: A new complementary learning perspective for optimal decision making controllers.
Neurocomputing, 2022
Robust state/output feedback linearization of direct drive robot manipulators: A controllability and observability analysis.
Eur. J. Control, 2022
Stable robot manipulator parameter identification: A closed-loop input error approach.
Autom., 2022
Artif. Intell. Rev., 2022
Proceedings of the 19th International Conference on Electrical Engineering, 2022
Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning.
Proceedings of the 8th International Conference on Control, 2022
Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Int. J. Mach. Learn. Cybern., 2021
Continuous-time reinforcement learning for robust control under worst-case uncertainty.
Int. J. Syst. Sci., 2021
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview.
Neurocomputing, 2021
Constant Speed Control of Slider-Crank Mechanisms: A Joint-Task Space Hybrid Control Approach.
IEEE Access, 2021
An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems.
Proceedings of the 18th International Conference on Electrical Engineering, 2021
Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Int. J. Soc. Robotics, 2020
Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning.
Cybern. Syst., 2020
Task Space Position Control of Slider-Crank Mechanisms Using Simple Tuning Techniques Without Linearization Methods.
IEEE Access, 2020
A Novel Tuning Method of PD With Gravity Compensation Controller for Robot Manipulators.
IEEE Access, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
2019
J. Syst. Control. Eng., 2019
Ind. Robot, 2019
Proceedings of the International Symposium on Medical Robotics, 2019
Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space.
Proceedings of the 16th International Conference on Electrical Engineering, 2019
Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers.
Proceedings of the 16th International Conference on Electrical Engineering, 2019
Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control.
Proceedings of the 6th International Conference on Control, 2019
2016
Proceedings of the 13th International Conference on Electrical Engineering, 2016