Iván Salgado
Orcid: 0000-0002-3854-7031Affiliations:
- National Polytechnic Institute, Mexico City, Mexico
According to our database1,
Iván Salgado
authored at least 37 papers
between 2009 and 2023.
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Bibliography
2023
Medical Biol. Eng. Comput., February, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Neuro-Identifier for the Musculoskeletal System of the Upper-Limb to Map Electromyographic Signals to Inverse Kinematics.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
Time-Varying Tracking Control of a Unicycle Mobile Robot: A Composite Lyapunov Function Approach.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
2022
Output feedback robust control for teleoperated manipulator robots with different workspace.
Expert Syst. Appl., November, 2022
Active Disturbance Rejection Controller for a Flexible Walking Bioinspired Inchworm Mobile Robot Actuated With Shape Memory Alloy Devices.
IEEE Trans. Control. Syst. Technol., 2022
Deep Learning Adapted to Differential Neural Networks Used as Pattern Classification of Electrophysiological Signals.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neurocomputing, 2022
Stable learning laws design for long short-term memory identifier for uncertain discrete systems via control Lyapunov functions.
Neurocomputing, 2022
Brain Computer Interface for Speech Synthesis Based on Multilayer Differential Neural Networks.
Cybern. Syst., 2022
First-order sliding mode control for second order systems with asymmetric constraints.
Proceedings of the 10th International Conference on Systems and Control, 2022
Proceedings of the 8th International Conference on Control, 2022
Robust control for third-order electro-mechanical systems with partially unknown dynamics under state constraints.
Proceedings of the 8th International Conference on Control, 2022
2021
Discrete event-driven control of an active orthosis regulated by electromyographic signals for Canis lupus familiaris.
Intell. Serv. Robotics, 2021
2020
Robust observer-based controller design for state constrained uncertain systems: attractive ellipsoid method.
Int. J. Control, 2020
Terminal Sliding-Mode Control of Virtual Humanoid Robot with Joint Restrictions Walking on stepping objects.
Cybern. Syst., 2020
Robust Gradient Estimator for Unknown Frequency Estimation in Noisy Environment: Application to Grid-Synchronization.
IEEE Access, 2020
Continuous electroencephalographic signal automatic classification using Deep Differential Neural Networks.
Proceedings of the 7th International Conference on Control, 2020
Proceedings of the 7th International Conference on Control, 2020
2019
IEEE Trans. Ind. Electron., 2019
Adaptive sliding-mode observer for second order discrete-time MIMO nonlinear systems based on recurrent neural-networks.
Int. J. Mach. Learn. Cybern., 2019
Hybrid position/force output feedback second-order sliding mode control for a prototype of an active orthosis used in back-assisted mobilization.
Medical Biol. Eng. Comput., 2019
Robust identification of unknown inputs in electrical stimulation of ex-vivo animal models.
Biomed. Signal Process. Control., 2019
Proceedings of the 6th International Conference on Control, 2019
2018
Adaptive Unknown Input Estimation by Sliding Modes and Differential Neural Network Observer.
IEEE Trans. Neural Networks Learn. Syst., 2018
Proceedings of the 12th IFAC Symposium on Robot Control, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks.
Neural Process. Lett., 2016
2014
Proportional derivative fuzzy control supplied with second order sliding mode differentiation.
Eng. Appl. Artif. Intell., 2014
2013
Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Design of variable gain super-twisting observer for nonlinear systems with sampled output.
Proceedings of the 7th International Conference on Electrical Engineering, 2010
Design of mixed Luenberger and sliding continuous mode observer using sampled output information.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Proceedings of the International Joint Conference on Neural Networks, 2009