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ORCIDAdolfo Perrusquía
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2020 – today
- 2024
[j32]Avishaek Deep, Adolfo Perrusquía
, Lamees Aljaburi, Saba Al-Rubaye, Weisi Guo:
A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services. IEEE Access 12: 9550-9562 (2024)- [j31]Abhinav Kumar, Adolfo Perrusquía, Saba Al-Rubaye, Weisi Guo:
Wildfire and smoke early detection for drone applications: A light-weight deep learning approach. Eng. Appl. Artif. Intell. 136: 108977 (2024) - [j30]Mostafa El Debeiki, Saba Al-Rubaye, Adolfo Perrusquía, Christopher Conrad, Juan Alejandro Flores Campos:
An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments. Future Internet 16(3): 89 (2024) - [j29]Adolfo Perrusquía, Mengbang Zou, Weisi Guo:
Explainable data-driven Q-learning control for a class of discrete-time linear autonomous systems. Inf. Sci. 682: 121283 (2024) - [j28]Adolfo Perrusquía, Weisi Guo:
Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach. IEEE Trans. Cybern. 54(9): 4939-4948 (2024) - [j27]Adolfo Perrusquía, Weisi Guo:
Trajectory Inference of Unknown Linear Systems Based on Partial States Measurements. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2276-2286 (2024) - [j26]Weisi Guo, Zhuangkun Wei, Oscar Gonzalez-Villarreal, Adolfo Perrusquía, Antonios Tsourdos:
Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems. IEEE Veh. Technol. Mag. 19(1): 93-102 (2024) - [c20]Mengbang Zou, Adolfo Perrusquía, Weisi Guo:
Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study. CoDIT 2024: 73-78 - [c19]Adolfo Perrusquía, Weisi Guo:
A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms. IJCNN 2024: 1-7 - [c18]Yikang Wang, Adolfo Perrusquía, Dmitry I. Ignatyev:
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction. L4DC 2024: 1096-1106 - [i2]Xiangqi Kong, Yang Xing, Antonios Tsourdos, Ziyue Wang, Weisi Guo, Adolfo Perrusquía, Andreas Wikander:
Explainable Interface for Human-Autonomy Teaming: A Survey. CoRR abs/2405.02583 (2024) - [i1]Dimitrios Panagopoulos, Adolfo Perrusquía, Weisi Guo:
Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input. CoRR abs/2409.13445 (2024) - 2023
- [j25]Adolfo Perrusquía, Weisi Guo:
Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning. IEEE CAA J. Autom. Sinica 10(1): 90-102 (2023) - [j24]Adolfo Perrusquía, Weisi Guo:
Reward inference of discrete-time expert's controllers: A complementary learning approach. Inf. Sci. 631: 396-411 (2023) - [j23]Adolfo Perrusquía, Weisi Guo:
Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference. IEEE Trans. Autom. Control. 68(12): 7824-7831 (2023) - [j22]Adolfo Perrusquía, Weisi Guo:
A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data. IEEE Trans. Cybern. 53(3): 1379-1391 (2023) - [j21]Adolfo Perrusquía, Weisi Guo:
Physics Informed Trajectory Inference of a Class of Nonlinear Systems Using a Closed-Loop Output Error Technique. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7583-7594 (2023) - [c17]Gurpreet Singh, Adolfo Perrusquía, Weisi Guo:
A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction. CoDIT 2023: 1-6 - [c16]Tanmay Kacker, Adolfo Perrusquía, Weisi Guo:
Multi-Spectral Fusion using Generative Adversarial Networks for UAV Detection of Wild Fires. ICAIIC 2023: 182-187 - [c15]Juan Alejandro Flores Campos, Adolfo Perrusquía:
Robust Control of Linear Systems: A Min-Max Reinforcement Learning Formulation. CCE 2023: 1-6 - [c14]Benjamin Fraser, Adolfo Perrusquía, Dimitrios Panagiotakopoulos, Weisi Guo:
A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data. SSCI 2023: 1-6 - 2022
- [j20]Jorge Ramírez, Wen Yu, Adolfo Perrusquía:
Model-free reinforcement learning from expert demonstrations: a survey. Artif. Intell. Rev. 55(4): 3213-3241 (2022) - [j19]Adolfo Perrusquía, Ruben Garrido, Wen Yu:
Stable robot manipulator parameter identification: A closed-loop input error approach. Autom. 141: 110294 (2022) - [j18]Adolfo Perrusquía:
Robust state/output feedback linearization of direct drive robot manipulators: A controllability and observability analysis. Eur. J. Control 64: 100612 (2022) - [j17]Adolfo Perrusquía:
Human-behavior learning: A new complementary learning perspective for optimal decision making controllers. Neurocomputing 489: 157-166 (2022) - [j16]Adolfo Perrusquía:
Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning. Inf. Sci. 595: 364-377 (2022) - [j15]Adolfo Perrusquía:
A complementary learning approach for expertise transference of human-optimized controllers. Neural Networks 145: 33-41 (2022) - [j14]Adolfo Perrusquía, Wen Yu:
Neural H₂ Control Using Continuous-Time Reinforcement Learning. IEEE Trans. Cybern. 52(6): 4485-4494 (2022) - [c13]Adolfo Perrusquía, Weisi Guo:
Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach. CASE 2022: 1545-1550 - [c12]Adolfo Perrusquía, Weisi Guo:
Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning. CoDIT 2022: 165-170 - [c11]Jocabed Mendoza, Adolfo Perrusquía, Juan Alejandro Flores Campos:
Mechanical Advantage Assurance Control of Quick-return Mechanisms in Task Space. CCE 2022: 1-6 - 2021
- [j13]Juan Alejandro Flores Campos, Adolfo Perrusquía, Luis Héctor Hernández-Gómez, Noé González, Alejandra Armenta-Molina:
Constant Speed Control of Slider-Crank Mechanisms: A Joint-Task Space Hybrid Control Approach. IEEE Access 9: 65676-65687 (2021) - [j12]Adolfo Perrusquía, Wen Yu:
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview. Neurocomputing 438: 145-154 (2021) - [j11]Adolfo Perrusquía, Wen Yu:
Continuous-time reinforcement learning for robust control under worst-case uncertainty. Int. J. Syst. Sci. 52(4): 770-784 (2021) - [j10]Adolfo Perrusquía, Wen Yu, Xiaoou Li:
Nonlinear control using human behavior learning. Inf. Sci. 569: 358-375 (2021) - [j9]Adolfo Perrusquía, Wen Yu, Xiaoou Li:
Multi-agent reinforcement learning for redundant robot control in task-space. Int. J. Mach. Learn. Cybern. 12(1): 231-241 (2021) - [j8]Adolfo Perrusquía, Wen Yu:
Discrete-Time H2 Neural Control Using Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4879-4889 (2021) - [c10]Adolfo Perrusquía, Wen Yu:
Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators. CDC 2021: 57-62 - [c9]Adolfo Perrusquía, Ruben Garrido, Wen Yu:
An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems. CCE 2021: 1-6 - 2020
- [j7]Adolfo Perrusquía, Juan Alejandro Flores Campos, Christopher R. Torres-Sanmiguel, Noé González:
Task Space Position Control of Slider-Crank Mechanisms Using Simple Tuning Techniques Without Linearization Methods. IEEE Access 8: 58435-58442 (2020) - [j6]Adolfo Perrusquía, Juan Alejandro Flores Campos, Christopher René Torres-San Miguel:
A Novel Tuning Method of PD With Gravity Compensation Controller for Robot Manipulators. IEEE Access 8: 114773-114783 (2020) - [j5]Adolfo Perrusquía, Wen Yu:
Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning. Cybern. Syst. 51(4): 542-560 (2020) - [j4]Wen Yu, Adolfo Perrusquía:
Simplified Stable Admittance Control Using End-Effector Orientations. Int. J. Soc. Robotics 12(5): 1061-1073 (2020) - [j3]Adolfo Perrusquía, Wen Yu:
Human-in-the-Loop Control Using Euler Angles. J. Intell. Robotic Syst. 97(2): 271-285 (2020) - [c8]Adolfo Perrusquía, Wen Yu, Xiaoou Li:
Redundant Robot Control Using Multi Agent Reinforcement Learning. CASE 2020: 1650-1655 - [c7]Adolfo Perrusquía, Wen Yu:
Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. IJCNN 2020: 1-7 - [c6]Adolfo Perrusquía, Wen Yu, Xiaoou Li:
Robust Control in the Worst Case Using Continuous Time Reinforcement Learning. SMC 2020: 1951-1954
2010 – 2019
- 2019
- [j2]Adolfo Perrusquía, Wen Yu, Alberto Soria:
Position/force control of robot manipulators using reinforcement learning. Ind. Robot 46(2): 267-280 (2019) - [j1]Juan Alejandro Flores Campos, Adolfo Perrusquía:
Slider position control for slider-crank mechanisms with Jacobian compensator. J. Syst. Control. Eng. 233(10) (2019) - [c5]Adolfo Perrusquía, Wen Yu, Alberto Soria:
Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control. CoDIT 2019: 91-96 - [c4]Adolfo Perrusquía, Wen Yu, Alberto Soria:
Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers. CCE 2019: 1-6 - [c3]Adolfo Perrusquía, Juan Alejandro Flores Campos, Wen Yu:
Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space. CCE 2019: 1-6 - [c2]Adolfo Perrusquía, Wen Yu:
Task space human-robot interaction using angular velocity Jacobian. ISMR 2019: 1-7 - 2016
- [c1]Adolfo Perrusquía, Carlos Tovar, Alberto Soria, Juan Carlos Martinez:
Robust controller for aircraft roll control system using data flight parameters. CCE 2016: 1-5
Coauthor Index
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last updated on 2024-11-14 00:50 CET by the dblp team
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