Robust controller for aircraft roll control system using data flight parameters. - Adolfo Perrusquía; Carlos Tovar; Alberto Soria; Juan Carlos Martinez (CCE, 2016)

Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control. - Adolfo Perrusquía; Wen Yu 001; Alberto Soria (CoDIT, 2019)

Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers. - Adolfo Perrusquía; Wen Yu 001; Alberto Soria (CCE, 2019)

Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space. - Adolfo Perrusquía; Juan Alejandro Flores Campos; Wen Yu 001 (CCE, 2019)

Task space human-robot interaction using angular velocity Jacobian. - Adolfo Perrusquía; Wen Yu 001 (ISMR, 2019)

Position/force control of robot manipulators using reinforcement learning. - Adolfo Perrusquía; Wen Yu 001; Alberto Soria (Ind. Robot, 2019)

Slider position control for slider-crank mechanisms with Jacobian compensator. - Juan Alejandro Flores Campos; Adolfo Perrusquía (J. Syst. Control. Eng., 2019)

Redundant Robot Control Using Multi Agent Reinforcement Learning. - Adolfo Perrusquía; Wen Yu 001; Xiaoou Li (CASE, 2020)

Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. - Adolfo Perrusquía; Wen Yu 001 (IJCNN, 2020)

Robust Control in the Worst Case Using Continuous Time Reinforcement Learning. - Adolfo Perrusquía; Wen Yu 001; Xiaoou Li (SMC, 2020)

A Novel Tuning Method of PD With Gravity Compensation Controller for Robot Manipulators. - Adolfo Perrusquía; Juan Alejandro Flores Campos; Christopher René Torres-San Miguel (IEEE Access, 2020)

Task Space Position Control of Slider-Crank Mechanisms Using Simple Tuning Techniques Without Linearization Methods. - Adolfo Perrusquía; Juan Alejandro Flores Campos; Christopher R. Torres-Sanmiguel; Noé González (IEEE Access, 2020)

Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning. - Adolfo Perrusquía; Wen Yu 001 (Cybern. Syst., 2020)

Simplified Stable Admittance Control Using End-Effector Orientations. - Wen Yu 001; Adolfo Perrusquía (Int. J. Soc. Robotics, 2020)

Human-in-the-Loop Control Using Euler Angles. - Adolfo Perrusquía; Wen Yu 001 (J. Intell. Robotic Syst., 2020)

Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators. - Adolfo Perrusquía; Wen Yu 001 (CDC, 2021)

An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems. - Adolfo Perrusquía; Ruben Garrido; Wen Yu 001 (CCE, 2021)

Constant Speed Control of Slider-Crank Mechanisms: A Joint-Task Space Hybrid Control Approach. - Juan Alejandro Flores Campos; Adolfo Perrusquía; Luis Héctor Hernández-Gómez; Noé González; Alejandra Armenta-Molina (IEEE Access, 2021)

Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview. - Adolfo Perrusquía; Wen Yu 001 (Neurocomputing, 2021)

Continuous-time reinforcement learning for robust control under worst-case uncertainty. - Adolfo Perrusquía; Wen Yu 001 (Int. J. Syst. Sci., 2021)

Nonlinear control using human behavior learning. - Adolfo Perrusquía; Wen Yu 001; Xiaoou Li (Inf. Sci., 2021)

Multi-agent reinforcement learning for redundant robot control in task-space. - Adolfo Perrusquía; Wen Yu 001; Xiaoou Li (Int. J. Mach. Learn. Cybern., 2021)

Discrete-Time H2 Neural Control Using Reinforcement Learning. - Adolfo Perrusquía; Wen Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach. - Adolfo Perrusquía; Weisi Guo (CASE, 2022)

Cost Inference of Discrete-time Linear Quadratic Control Policies using Human-Behaviour Learning. - Adolfo Perrusquía; Weisi Guo (CoDIT, 2022)

Mechanical Advantage Assurance Control of Quick-return Mechanisms in Task Space. - Jocabed Mendoza; Adolfo Perrusquía; Juan Alejandro Flores Campos (CCE, 2022)

Model-free reinforcement learning from expert demonstrations: a survey. - Jorge Ramírez; Wen Yu 001; Adolfo Perrusquía (Artif. Intell. Rev., 2022)

Stable robot manipulator parameter identification: A closed-loop input error approach. - Adolfo Perrusquía; Ruben Garrido; Wen Yu 001 (Autom., 2022)

Robust state/output feedback linearization of direct drive robot manipulators: A controllability and observability analysis. - Adolfo Perrusquía (Eur. J. Control, 2022)

Human-behavior learning: A new complementary learning perspective for optimal decision making controllers. - Adolfo Perrusquía (Neurocomputing, 2022)

Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning. - Adolfo Perrusquía (Inf. Sci., 2022)

A complementary learning approach for expertise transference of human-optimized controllers. - Adolfo Perrusquía (Neural Networks, 2022)

Neural H₂ Control Using Continuous-Time Reinforcement Learning. - Adolfo Perrusquía; Wen Yu 001 (IEEE Trans. Cybern., 2022)

A Two-Stages Unsupervised/Supervised Statistical Learning Approach for Drone Behaviour Prediction. - Gurpreet Singh; Adolfo Perrusquía; Weisi Guo (CoDIT, 2023)

Multi-Spectral Fusion using Generative Adversarial Networks for UAV Detection of Wild Fires. - Tanmay Kacker; Adolfo Perrusquía; Weisi Guo (ICAIIC, 2023)

Robust Control of Linear Systems: A Min-Max Reinforcement Learning Formulation. - Juan Alejandro Flores Campos; Adolfo Perrusquía (CCE, 2023)

A Deep Mixture of Experts Network for Drone Trajectory Intent Classification and Prediction using Non-Cooperative Radar Data. - Benjamin Fraser; Adolfo Perrusquía; Dimitrios Panagiotakopoulos; Weisi Guo (SSCI, 2023)

Optimal Control of Nonlinear Systems Using Experience Inference Human-Behavior Learning. - Adolfo Perrusquía; Weisi Guo (IEEE CAA J. Autom. Sinica, 2023)

Reward inference of discrete-time expert's controllers: A complementary learning approach. - Adolfo Perrusquía; Weisi Guo (Inf. Sci., 2023)

A Closed-Loop Output Error Approach for Physics-Informed Trajectory Inference Using Online Data. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Cybern., 2023)

Closed-Loop Output Error Approaches for Drone's Physics Informed Trajectory Inference. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Autom. Control., 2023)

Physics Informed Trajectory Inference of a Class of Nonlinear Systems Using a Closed-Loop Output Error Technique. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Explaining Data-Driven Control in Autonomous Systems: A Reinforcement Learning Case Study. - Mengbang Zou; Adolfo Perrusquía; Weisi Guo (CoDIT, 2024)

A Novel Physics-Informed Recurrent Neural Network Approach for State Estimation of Autonomous Platforms. - Adolfo Perrusquía; Weisi Guo (IJCNN, 2024)

Fire Detection Automation in Search Drones Using a Modified DeepLabv3+ Approach. - Abhinav Choudhary; Adolfo Perrusquía; Saba Al-Rubaye; Weisi Guo (ISC2, 2024)

Drone Pollution Tracking in Cities Using Recurrent Proximal Policy Optimization Learning. - Andreas Eliades; Elie Thellier; Haitao Tian; Shivam Mehta; Nouf Almesafri; Hongqian Chen; Zhuangkun Wei; Adolfo Perrusquía; Cunjia Liu; Weisi Guo (ISC2, 2024)

Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction. - Yikang Wang; Adolfo Perrusquía; Dmitry I. Ignatyev (L4DC, 2024)

Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input. - Dimitrios Panagopoulos; Adolfo Perrusquía; Weisi Guo (SMC, 2024)

A Novel Distributed Authentication of Blockchain Technology Integration in IoT Services. - Avishaek Deep; Adolfo Perrusquía; Lamees Aljaburi; Saba Al-Rubaye; Weisi Guo (IEEE Access, 2024)

Explainable Interface for Human-Autonomy Teaming: A Survey. - Xiangqi Kong; Yang Xing; Antonios Tsourdos; Ziyue Wang; Weisi Guo; Adolfo Perrusquía; Andreas Wikander (CoRR, 2024)

Wildfire and smoke early detection for drone applications: A light-weight deep learning approach. - Abhinav Kumar; Adolfo Perrusquía; Saba Al-Rubaye; Weisi Guo (Eng. Appl. Artif. Intell., 2024)

Explainable data-driven Q-learning control for a class of discrete-time linear autonomous systems. - Adolfo Perrusquía; Mengbang Zou; Weisi Guo (Inf. Sci., 2024)

Prescribed Time Interception of Moving Objects' Trajectories Using Robot Manipulators. - Juan Alejandro Flores Campos; Christopher René Torres-San Miguel; Juan Carlos Paredes-Rojas; Adolfo Perrusquía (Robotics, 2024)

An Advanced Path Planning and UAV Relay System: Enhancing Connectivity in Rural Environments. - Mostafa El Debeiki; Saba Al-Rubaye; Adolfo Perrusquía; Christopher Conrad; Juan Alejandro Flores Campos (Future Internet, 2024)

Control Layer Security: A New Security Paradigm for Cooperative Autonomous Systems. - Weisi Guo; Zhuangkun Wei; Oscar Gonzalez-Villarreal; Adolfo Perrusquía; Antonios Tsourdos (IEEE Veh. Technol. Mag., 2024)

Trajectory Inference of Unknown Linear Systems Based on Partial States Measurements. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Reservoir Computing for Drone Trajectory Intent Prediction: A Physics Informed Approach. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Cybern., 2024)

Trajectory Intent Prediction of Autonomous Systems Using Dynamic Mode Decomposition. - Adolfo Perrusquía; Zhuangkun Wei; Weisi Guo (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Search and rescue operations in wildfires using unmanned aerial vehicles: A multi-agent deep reinforcement learning approach. - Maxime Collignon; Adolfo Perrusquía; Antonios Tsourdos; Weisi Guo (Neurocomputing, 2025)

Uncovering Reward Goals in Distributed Drone Swarms Using Physics-Informed Multiagent Inverse Reinforcement Learning. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Cybern., 2025)

Drone's Objective Inference Using Policy Error Inverse Reinforcement Learning. - Adolfo Perrusquía; Weisi Guo (IEEE Trans. Neural Networks Learn. Syst., 2025)

Learning What Matters Now: A Dual-Critic Context-Aware RL Framework for Priority-Driven Information Gain. - Dimitris Panagopoulos; Adolfo Perrusquía; Weisi Guo (CoRR, 2025)

LUCIFER: Language Understanding and Context-Infused Framework for Exploration and Behavior Refinement. - Dimitris Panagopoulos; Adolfo Perrusquía; Weisi Guo (CoRR, 2025)

Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks. - Deepak Kumar Panda; Adolfo Perrusquía; Weisi Guo (CoRR, 2025)

Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics. - Mengbang Zou; Yun Tang 003; Adolfo Perrusquía; Weisi Guo (CoRR, 2025)