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Iván Salgado 0001
Person information
- affiliation: National Polytechnic Institute, Mexico City, Mexico
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2020 – today
- 2024
- [c19]Ulises Villela, Alessandra Grossi, Francesca Gasparini, Iván Salgado, Mariana Ballesteros:
Multiclass classifiers for hand-gesture recognition of electromyographic signals from WyoFlex Band. CBMS 2024: 134-139 - 2023
- [j19]Caridad Mireles-Perez, Misael Sanchez, David Cruz-Ortiz
, Iván Salgado, Isaac Chairez:
Home-care nursing controlled mobile robot with vital signal monitoring. Medical Biol. Eng. Comput. 61(2): 399-420 (2023) - [c18]Luis Añorve, Manuel Mera, Héctor Ríos, Mariana Ballesteros, Iván Salgado:
Time-Varying Tracking Control of a Unicycle Mobile Robot: A Composite Lyapunov Function Approach. ICCMA 2023: 152-157 - [c17]Manuela Gomez-Correa
Adaptive Tracking Controller with Exponential Restrictions for Robotic Manipulators. ICCMA 2023: 215-220 - [c16]Ulises Villela
Neuro-Identifier for the Musculoskeletal System of the Upper-Limb to Map Electromyographic Signals to Inverse Kinematics. ICCMA 2023: 296-301 - [c15]Iván Salgado
Constrained Neuro-Identifier for Controlling the Unicycle Mobile Robot. SSCI 2023: 1280-1285 - 2022
- [j18]Dusthon Llorente-Vidrio, Mariana Ballesteros, David Cruz-Ortiz
Brain Computer Interface for Speech Synthesis Based on Multilayer Differential Neural Networks. Cybern. Syst. 53(1): 126-140 (2022) - [j17]Misael Sanchez
Output feedback robust control for teleoperated manipulator robots with different workspace. Expert Syst. Appl. 206: 117838 (2022) - [j16]Alejandro Guarneros-Sandoval
Stable learning laws design for long short-term memory identifier for uncertain discrete systems via control Lyapunov functions. Neurocomputing 491: 144-159 (2022) - [j15]Alejandro Guarneros-Sandoval
Lyapunov stable learning laws for multilayer recurrent neural networks. Neurocomputing 491: 644-657 (2022) - [j14]Dusthon Llorente-Vidrio
Deep Learning Adapted to Differential Neural Networks Used as Pattern Classification of Electrophysiological Signals. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4807-4818 (2022) - [j13]Vania Lara-Ortiz
Active Disturbance Rejection Controller for a Flexible Walking Bioinspired Inchworm Mobile Robot Actuated With Shape Memory Alloy Devices. IEEE Trans. Control. Syst. Technol. 30(4): 1790-1797 (2022) - [c14]Caridad Mireles-Perez, David Cruz-Ortiz
Backstepping second order sliding mode control for a car-like robot. CoDIT 2022: 463-467 - [c13]Alejandro Lozano, Mariana Ballesteros, David Cruz-Ortiz
Robust control for third-order electro-mechanical systems with partially unknown dynamics under state constraints. CoDIT 2022: 1037-1042 - [c12]Caridad Mireles-Perez, Manuela Gomez-Correa
First-order sliding mode control for second order systems with asymmetric constraints. ICSC 2022: 227-232 - 2021
- [j12]Misael Sanchez, A. Ruiz, David Cruz-Ortiz
Discrete event-driven control of an active orthosis regulated by electromyographic signals for Canis lupus familiaris. Intell. Serv. Robotics 14(3): 485-499 (2021) - 2020
- [j11]Hafiz Ahmed
Robust Gradient Estimator for Unknown Frequency Estimation in Noisy Environment: Application to Grid-Synchronization. IEEE Access 8: 70693-70702 (2020) - [j10]M. Sanchez-Magos, Mariana Ballesteros-Escamilla
Terminal Sliding-Mode Control of Virtual Humanoid Robot with Joint Restrictions Walking on stepping objects. Cybern. Syst. 51(4): 402-425 (2020) - [j9]Manuel Mera
Robust observer-based controller design for state constrained uncertain systems: attractive ellipsoid method. Int. J. Control 93(6): 1397-1407 (2020) - [c11]Alejandro Guarneros
Unsupervised learning for a clustering algorithm based on ellipsoidal calculus. CoDIT 2020: 124-129 - [c10]Dusthon Llorente-Vidrio, Mariana Ballesteros
Continuous electroencephalographic signal automatic classification using Deep Differential Neural Networks. CoDIT 2020: 358-363
2010 – 2019
- 2019
- [j8]Iván Salgado
Robust identification of unknown inputs in electrical stimulation of ex-vivo animal models. Biomed. Signal Process. Control. 52: 103-110 (2019) - [j7]Mariana Ballesteros-Escamilla
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. 57(9): 1843-1860 (2019) - [j6]Iván Salgado
Adaptive sliding-mode observer for second order discrete-time MIMO nonlinear systems based on recurrent neural-networks. Int. J. Mach. Learn. Cybern. 10(10): 2851-2866 (2019) - [j5]Hafiz Ahmed
Fast Estimation of Phase and Frequency for Single-Phase Grid Signal. IEEE Trans. Ind. Electron. 66(8): 6408-6411 (2019) - [c9]M. Sanchez-Magos, Mariana Ballesteros-Escamilla
Terminal sliding mode control of a virtual humanoid robot. CoDIT 2019: 726-731 - 2018
- [j4]Iván Salgado
Adaptive Unknown Input Estimation by Sliding Modes and Differential Neural Network Observer. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3499-3509 (2018) - [c8]A. Gaytán, M. Sanchez-Magos, David Cruz-Ortiz
Adaptive Proportional Derivative Controller of Cooperative Manipulators. SyRoCo 2018: 232-237 - 2017
- [c7]Iván Salgado
Active disturbance rejection control based on differential neural networks. IJCNN 2017: 4236-4243 - [c6]J. L. Garcia-Lopez, Iván Salgado
Two-layer dynamic neural field learning law basec on controlled Lyapunov functions. IJCNN 2017: 4496-4503 - 2016
- [j3]Mariel Alfaro-Ponce
Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks. Neural Process. Lett. 43(1): 133-153 (2016) - 2014
- [j2]Iván Salgado
Proportional derivative fuzzy control supplied with second order sliding mode differentiation. Eng. Appl. Artif. Intell. 35: 84-94 (2014) - 2013
- [j1]Iván Salgado
Nonlinear discrete time neural network observer. Neurocomputing 101: 73-81 (2013) - [c5]Iván Salgado
Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime. IJCNN 2013: 1-8 - 2010
- [c4]Iván Salgado
Design of mixed Luenberger and sliding continuous mode observer using sampled output information. CDC 2010: 5138-5143 - [c3]Iván Salgado, Jaime A. Moreno
Design of variable gain super-twisting observer for nonlinear systems with sampled output. CCE 2010: 153-157 - [c2]Iván Salgado
Discrete time recurrent neural network sliding mode observer. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c1]Iván Salgado
Discrete time recurrent neural network observer. IJCNN 2009: 2764-2770
Coauthor Index
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