Publications

J44. V. Sonntag, A. Perrusquía, A. Tsourdos, W. Guo, "A COLREGs compliance reinforcement learning approach for USV manoeuvring in track-following and collision avoidance problems", Ocean Engineering, vol. 316, 2025. Q1 [link]

J43. A. Perrusquía, W. Guo, "Uncovering Reward Goals in Distributed Drone Swarms using Physics-informed Multiagent Inverse Reinforcement Learning", IEEE Transactions on Cybernetics, vol. 55, no. 1, 2025. [link]

J42. J. Mugabe, M. Wisniewski, A. Perrusquía, W. Guo, "Enhancing situational awareness of helicopter pilots in unmanned aerial vehicle-congested environments using an Airborne Visual Artificial Intelligence Approach", Sensors, vol. 24, no. 23, 2024. Q1 [link]

J41. A.M. Ali, A. Perrusquía, W. Guo, A. Tsourdos, "Flight plan optimisation of Unmanned Aerial Vehicles with Minimised  Radar Observability using Action Shaping Proximal Policy Optimisation", Drones, vol. 8, 2024. Q1 [link]

J40. J.A. Flores-Campos, C.R. Torres-San-Miguel, J.C. Paredes-Rojas, A. Perrusquía, "Prescribed Time Interception of Moving Objects' Trajectories using Robot Manipulators", Robotics, vol. 13, 2024. Q1 [link]

J39. A. Perrusquía, Z. Wei, W. Guo, "Trajectory Intent Prediction of Autonomous Systems using Dynamic Mode Decomposition", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024. Q1 [link]

J38. A. Kumar, A. Perrusquía, S. Al-Rubaye, W. Guo, "Wildfire and Smoke Early Detection for Drone Applications: A Light-Weight Deep Learning Approach", Engineering Applications  of Artificial Intelligence, 2024. Q1 [link].

J37. E. Bildik, A. Tsourdos, A. Perrusquía, G. Inalhan,"Decoys Deployment for Missile Interception: A Multi-Agent Reinforcement Learning Approach", Aerospace, vol. 11, no. 8, 2024. Q2 [link]. 

J36. A. Perrusquía, W. Guo, "Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach", IEEE Transactions on Cybernetics, 2024. Q1 [link]

J35. M. El Debeiki, S. Al-Rubaye, A. Perrusquía, C. Conrad, J.A. Flores-Campos, "An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments", Future Internet, 2024. Q1 [link]

J34. A. Perrusquía, W. Guo, B. Fraser, Z. Wei, "Uncovering Drone Intentions using Control Physics Informed Machine Learning", Nature Communications Engineering, vol. 3, no. 1, 2024. [link]

J33. A. Deep, A. Perrusquía, L. Aljaburi, S. Al-Rubaye, W. Guo, "A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services", IEEE Access, 2024.  Q1 [link]

J32.  A. Perrusquía, W. Guo, "Trajectory  Inference of Unknown Linear Systems based on Partial States Measurements", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023. Q1. [link]

J31. A. Perrusquía, W. Guo, "Drone's Objective Inference using Policy Error Inverse Reinforcement Learning", IEEE Transactions on Neural Networks and Learning Systems, 2023. Q1 [link]

J30. A. Perrusquía, W. Guo, "Physics Informed Trajectory Inference of a Class of Nonlinear Systems using a Closed-Loop Output Error Technique", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023. Q1. [link]

J29. W. Guo, Z. Wei, O. Gonzalez-Villareal, A. Perrusquía, A. Tsourdos, "Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems", IEEE Vehicular Technology Magazine, 2023. Q1. [link]

J28. A. Perrusquía, W. Guo, "Reward Inference of Discrete-time Expert's Controllers: A Complementary Learning Approach", Information Sciences, vol. 631, pp. 396-411, 2023. Q1. [link]

J27. A. Perrusquía, W. Guo, "Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference", IEEE Transactions on Automatic Control, 2023. Q1 [link]

J26. A. Perrusquía, W. Guo, "Hippocampus Experience Inference for Safety Critical Control of Unknown Multi-Agent Linear Systems", ISA Transactions, 2023. Q1 [link]

J25.  A. Perrusquía, W. Guo, "A Closed-Loop Output Error Approach for Physics Informed Trajectory Inference using Online Data", IEEE Transactions on Cybernetics, vol. 53, no. 3, pp. 1379-1391, 2023. Q1 [link]

J24. A. Perrusquía, W. Guo, "Optimal Control of Nonlinear Systems using Experience Inference Human-Behavior Learning", IEEE/CAA Automatica Sinica, vol. 10, no. 1, pp. 90-102, 2023. Q1 [link ]

J23. A. Perrusquía, W. Yu, "Neural H2 Control Using Continuous-Time Reinforcement Learning", IEEE Transactions on Cybernetics, vol. 52, no. 6,  pp. 4485-4494, 2022.  Q1 [link]

J22.  A. Perrusquía, R. Garrido, W. Yu, "Stable robot manipulator parameter identification: A closed-loop input error approach", Automatica, vol. 141, 2022. Q1 [link]

J21. A. Perrusquía, "Human-Behavior Learning: A new Complementary Learning perspective for Optimal Decision Making Controllers", Neurocomputing, vol. 489, pp. 157-166, 2022. Q1 [link]

J20. A. Perrusquía, "Solution of the Linear Quadratic Regulator Problem of Black Box Linear Systems using Reinforcement Learning" Information Sciences, vol. 595, pp. 364-377, 2022. IF 8.1 Q1 [link] 

J19. A. Perrusquía, "Robust State/Output Feedback linearization of direct drive robot manipulators: a controllability and observability analysis", European Journal of Control, vol. 64, no. 2022. Q1  [link]

J18. A. Perrusquía, J.A. Flores Campos, W. Yu, "Optimal sliding mode control for cutting tasks of quick-return mechanisms", ISA Transactions, vol. 122, pp. 88-95, 2022. Q1 [link]

J17. A. Perrusquía, "A complementary learning approach for expertise transference of human-optimized controllers", Neural Networks, vol. 145, pp. 33-41, 2022. Q1, [link]

J16. J. Ramírez, W. Yu, A. Perrusquía, "Model-free reinforcement learning from expert demonstrations: A survey", Artificial Intelligence Review, vol. 55, pp. 3213-3241, 2022. Q1 [link]

J15. A. Perrusquía, W. Yu, X. Li, "Nonlinear control using human behavior learning", Information Sciences, vol. 569, pp. 358-375, 2021. Q1 [link]

J14.  A. Perrusquía, W. Yu, "Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview", Neurocomputing, vol. 438, pp. 145-154, 2021. Q1 [link]

J13. J.A. Flores Campos, A. Perrusquía, L.H. Hernández-Gómez, N. González, "Constant speed control of slider-crank mechanisms: A joint-task space hybrid control approach", IEEE Access, vol. 9, pp. 65676-65687, 2021. Q1 [link]

J12. A. Perrusquía, W. Yu, "Continuous-time reinforcement learning for robust control under worst-case uncertainty", International Journal of Systems Science, vol. 52, no. 4, pp. 770-784, 2021. Q1 [link] 

J11. A. Perrusquía, W. Yu, X. Li, "Multi-agent reinforcement learning for redundant robot control in task-space", International Journal of Machine Learning and Cybernetics, vol. 12, no. 1, pp. 231-241, 2021. Q1 [link] 

J10. W. Yu, A. Perrusquía, "Simplified stable admittance control using end-effector orientations", International Journal of Social Robotics, vol. 12, no. 5, pp. 1061-1073, 2020. Q1 [link]

J9. A. Perrusquía, W. Yu, "Discrete-time H2 neural control using reinforcement learning", IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 11, pp. 4879-4889, 2020. Q1 [link]. 

J8. A. Perrusquía, J.A. Flores Campos, C. R. Torres-SanMiguel, "A novel tuning method of PD with gravity compensation controller for robot manipulators", IEEE Access, vol. 8, pp.114773-114783, 2020. Q1 [link]

J7. A. Perrusquía, W. Yu, "Robot position/force control in unknown environment using Hybrid Reinforcement Learning" Cybernetics and Systems, vol. 51, no. 4, pp. 542-560, 2020. Q2 [link]

J6. A. Perrusquía, J.A. Flores Campos, C. R. Torres-SanMiguel, N. González, "Task space position control of slider-crank mechanisms using simple tuning techniques without linearization methods" IEEE Access, vol. 8, pp. 58435-58442, 2020. Q1 [link]

J5. A. Perrusquía, W. Yu, "Human-in-the-loop control using Euler angles", Journal of Intelligent & Robotic Systems, vol. 97, no. 2, pp. 271-285, 2020. Q1 [link]

J4. A. Perrusquía, W. Yu, "Robust control under worst-case uncertainty for unknown nonlinear systems using modified reinforcement learning" International Journal of Robust and Nonlinear Control, vol. 30, no. 7, pp. 2920-2936, 2020. Q1 [link ]

J3. J.A. Flores Campos, A. Perrusquía, "Slider position control for slider-crank mechanisms with Jacobian compensator", Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 233, no. 10, pp. 1413-1421, 2019. Q2 [link]

J2. A. Perrusquía, W. Yu, "Position/force control of robot manipulators using reinforcement learning", Industrial Robot: the International Journal of Robotics Research and Application, vol. 46, no. 2, pp. 267-280, 2019. Q2 [link]

J1.  J.A. Flores Campos, J.A. Perrusquía  Guzmán, J.A. Beltrán  Fernández, L.H. Hernández Gómez, "Sliding Mode Control of a water-displacement mechanism applied to the orientation of a parabolic-trough solar concentrator", Defect and Difussion Forum, vol. 370, pp. 90-97, 2017. Q4 [link]

C36. Y. Yang, A. Perrusquía, W. Guo,  "Inferring Wind Velocity from Informal Environmental Objects using Optical Flow Informed Recurrent Neural Networks", 11th International Conference on Control, Decision and Information Technologies (CoDIT'25), 2025 [To appear]

C35. A. Perrusquía, W. Guo,  "Physics-Informed State Observer for Unknown Linear Autonomous Systems with Noisy Measurements",  11th International Conference on Control, Decision and Information Technologies (CoDIT'25), 2025 [To appear]

C34. R. Fernandes, A. Perrusquía, W. Guo, "Drones Identification and Classification using Fingerprint in Spectrograms", 11th International Conference on Control, Decision and Information Technologies (CoDIT'25), 2025 [To appear]

C33. R. Martinez, L.A. Marquez-Martinez, A. Perrusquía, "Near Optimal Reinforcement Learning Control of Linear Time-Delay Systems", 15th IFAC International Workshop on Adaptive and Learning Control Systems (ALCOS 2025),  2025 [To appear]

C32.  E. Thellier, A. Perrusquía, A. Tsourdos, "Instance-Specific Heuristic Learning for Scalable UAV Path Planning",  AIAA Aviation Forum, 2025 [To appear]

C31. K. Tamanakijprasart, A. Perrusquía, S. Mondal, A. Tsourdos, "Autonomous Path Selection of Unmaneed Aerial Vehicle in Dynamic Environment Using Reinforcement Learning", IAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 2025 [link]

C30. K. Kunchitigara, A. Perrusquía, A. Tsourdos, D. Ignatyev, "Integrating Explainable AI into Two-Tier ML Models for Trustworthy Aircraft Landing Gear Fault Diagnosis", AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 2025 [link]. 

C29.  A. Eliades, E. Thellier, H. Tian, S. Mehta, N. Almesafri, H. Chen, Z. Wei, A. Perrusquía, C. Liu, W. Guo, "Drone Pollution Tracking in Cities using Recurrent Proximal Policy Optimization Learning", IEEE International Smart Cities Conference, 2024. Best paper [To appear]

C28. A. Kumar, A. Perrusquía, S. Al-Rubaye, W. Guo, "Fire Detection Automation in Search Drones using a Modified DeepLabv3+ Approach", IEEE International Smart Cities Conference, 2024 [To appear]

C27. D. Panagopoulos, A. Perrusquía, W. Guo, "Selective Exploration and Information Gathering in Search and Rescue  using Hierarchical Learning Guided by Natural Language Input", IEEE International Conference on Systems, Man and Cybernetics (SMC24), 2024 [link] 

C26. Y. Wang, A. Perrusquía, D. Ignatyev, "Towards Bio-Inspired Control of Aerial Vehicle: Distributed Aerodynamic Parameters for State Prediction", Proceedings of Machine Learning Research (PMLR), vol. 242, pp. 1096-1106, 2024 [link]

C25. A. Perrusquía, W. Guo, "A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms", IEEE International Joint Conference on Neural Networks (IJCNN), 2024 [link]

C24. M. Zou, A. Perrusquía, W. Guo, "Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study", 10th International Conference on Control, Decision and Information Technologies (CoDIT'24), 2024 [link]

C23. E. Bildik, A. Tsourdos, A. Perrusquía, G. Inalhan, "Swarm Decoys Deployment for Missile Deceive using Multi-Agent Reinforcement Learning", International Conference on Unmanned Aircraft Systems (ICUAS'24), 2024 [link] 

C22. C. Gruffeille, A. Perrusquía, A. Tsourdos, W. Guo,"Disaster Area Coverage Optimisation using Reinforcement Learning", International Conference on Unmanned Aircraft Systems (ICUAS'24), 2024 [link] 

C21. K. Kunchitigara, A. Perrusquía, A. Tsourdos, D. Ignatyev, "Advancing Fault Diagnosis in Aircraft Landing Gear: An innovative two-tier machine learning approach with intelligent sensor data management", AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 2024. [link]

C20. B. Fraser, A. Perrusquía, D. Panagiotakopoulos, W. Guo, "A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data", IEEE Symposium Series on Computational Intelligence (SSCI'23), 2023. [link]

C19. J.A. Flores-Campos, A. Perrusquía, "Robust Control of Linear Systems: A Min-Max Reinforcement Learning Formulation", 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'23), 2023. [link]

C18. B. Fraser, A. Perrusquía, D. Panagiotakopoulos, W. Guo, "Hybrid Deep Neural Networks for Drone High Level Intent Classification using Non-Cooperative Radar Data", Proc. of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME'23), 2023. [link]

C17. G. Singh, A. Perrusquía, W. Guo, "A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction", 9th International Conference on Control, Decision and Information Technologies (CoDIT'23), 2023. [link]

C16. T. Kacker, W. Guo, A. Perrusquía, "Multi-Spectral Fusion using Generative Adversarial Networks for UAV Detection of Wild Fires", IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC'23), 2023. [link]

c15. J. Mendoza, A. Perrusquía, J.A. Flores-Campos, "Mechanical Advantage Assurance Control of Quick-return Mechanisms in Task Space", 19th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'22), 2022. [link]

c14. A. Perrusquía, W. Guo, "Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach", IEEE 18th International Conference on Automation Science and Engineering (CASE'22), 2022. [link]

C13. A. Perrusquía, W. Guo, "Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning", 8th International Conference on Control, Decision and Information Technologies (CoDIT'22), 2022. [link]

C12. A. Perrusquía, W. Yu, "Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators", IEEE Conference on Decision and Control (CDC'21), pp. 57-62, 2021. [link]

C11. A. Perrusquía, R. Garrido, W. Yu, "An Input error method for parameter identification of a class of Euler-Lagrange Systems", 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'21), 2021. [link]

C10. A. Perrusquía, W. Yu, X. Li, "Robust control in the worst case using continuous time Reinforcement Learning", IEEE International Conference on Systems, Man, and Cybernetics (SMC'20), 2020. [link]

C9. A. Perrusquía, W. Yu, X. Li, "Redundant robot control using multi agent reinforcement learning", 16th International Conference on Automation Science and Engineering (CASE'20), 2020. [link]

C8. A. Perrusquía, W. Yu, "Neural H2 control using Reinforcement Learning for Unknown Nonlinear Systems", International Joint Conference on Neural Networks (IJCNN), 2020.  [link]

C7. A. Perrusquía, W. Yu, X. Li, "Impedance Control without environment model by reinforcement learning", 10th International Conference on Intelligent Control and Information Processing (ICICIP'19), pp. 59-63, 2019. [link]  

C6. A. Perrusquía, J.A. Flores Campos, W. Yu, "Simple optimal tracking control for a class of closed-chain mechanisms in task space", 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'19), 2019. [link]

C5. A. Perrusquía, W. Yu, A. Soria, "Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and model-free controllers", 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'19), 2019. [link]

C4. A. Perrusquía, W. Yu, A. Soria, "Large space dimension reinforcement learning for robot position/force discrete control", 6th International Conference on Control, Decision and Information Technologies (CoDIT'19), pp. 91-96, 2019. [link] 

C3. A. Perrusquía, W. Yu, "Task space human-robot interaction using angular velocity Jacobian", 2019 International Symposium on Medical Robotics (ISMR'19), pp. 1-7, 2019. [link]

C2. A. Perrusquía, W. Yu, A. Soria, R. Lozano, "Stable admittance control without inverse kinematics", IFAC-PapersOnline, vol. 50, no. 1, pp. 15835-15840. [link]

C1. A. Perrusquía , C. Tovar, A. Soria, J.C. Martínez, "Robust controller for aircraft roll control system using data flight parameters", 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE'16), 2016. [link]