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Adolfo Perrusquía
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Cited by
Year
Identification and Optimal Control of Nonlinear Systems Using Recurrent Neural Networks and Reinforcement Learning: An Overview
A Perrusquía, W Yu
Neurocomputing 438, 145-154, 2021
922021
Multi-agent reinforcement learning for redundant robot control in task-space
A Perrusquía, W Yu, X Li
International Journal of Machine Learning and Cybernetics 12, 231-241, 2021
602021
Position/force control of robot manipulators using reinforcement learning
A Perrusquía, W Yu, A Soria
Industrial Robot: the international journal of robotics research and …, 2019
602019
Model-free reinforcement learning from expert demonstrations: a survey
J Ramírez, W Yu, A Perrusquía
Artificial Intelligence Review 55 (4), 3213-3241, 2022
592022
Simplified stable admittance control using end-effector orientations
W Yu, A Perrusquía
International Journal of Social Robotics 12, 1061-1073, 2020
462020
Neural H₂ Control Using Continuous-Time Reinforcement Learning
A Perrusquía, W Yu
IEEE Transactions on Cybernetics 52 (6), 4485-4494, 2020
342020
Robust control under worst‐case uncertainty for unknown nonlinear systems using modified reinforcement learning
A Perrusquía, W Yu
International Journal of Robust and Nonlinear Control, 2020
332020
Human-in-the-loop control using euler angles
A Perrusquía, W Yu
Journal of Intelligent & Robotic Systems 97, 271-285, 2020
292020
Discrete-Time H2 Neural Control Using Reinforcement Learning
A Perrusquia, W Yu
IEEE Transactions on Neural Networks and Learning Systems 32 (11), 4879-4889, 2020
272020
A novel tuning method of PD with gravity compensation controller for robot manipulators
A Perrusquía, JA Flores-Campos, CR Torres-San-Miguel
IEEE Access 8, 114773-114783, 2020
272020
Stable admittance control without inverse kinematics
A Perrusquía, W Yu, A Soria, R Lozano
IFAC-PapersOnLine 50 (1), 15835-15840, 2017
232017
Stable robot manipulator parameter identification: A closed-loop input error approach
A Perrusquía, R Garrido, W Yu
Automatica 141, 110294, 2022
222022
Task space position control of slider-crank mechanisms using simple tuning techniques without linearization methods
A Perrusquia, JA Flores-Campos, CR Torres-Sanmiguel, N Gonzalez
IEEE Access 8, 58435-58442, 2020
222020
Continuous-time reinforcement learning for robust control under worst-case uncertainty
A Perrusquía, W Yu
International Journal of Systems Science 52 (4), 770-784, 2021
212021
Robust state/output feedback linearization of direct drive robot manipulators: A controllability and observability analysis
A Perrusquía
European Journal of Control 64, 100612, 2022
192022
Nonlinear control using human behavior learning
A Perrusquía, W Yu, X Li
Information Sciences 569, 358-375, 2021
192021
Robot position/force control in unknown environment using hybrid reinforcement learning
A Perrusquía, W Yu
Cybernetics and systems 51 (4), 542-560, 2020
192020
Large space dimension reinforcement learning for robot position/force discrete control
A Perrusquía, W Yu, A Soria
2019 6th International Conference on Control, Decision and Information …, 2019
162019
Constant speed control of slider-crank mechanisms: A joint-task space hybrid control approach
JA Flores-Campos, A Perrusquía, LH Hernández-Gómez, N González, ...
IEEE Access 9, 65676-65687, 2021
152021
Solution of the linear quadratic regulator problem of black box linear systems using reinforcement learning
A Perrusquía
Information Sciences 595, 364-377, 2022
142022
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Articles 1–20