Isaac Chairez Oria

Orcid: 0000-0002-7157-2052

Affiliations:
  • National Politechnic Institute, Biotechnology Interdisciplinar Professional Unit (UPIBI - IPN), Mexico City
  • Monterrey Institute of Technology and Higher Education (Tec de Monterrey), Mexico


According to our database1, Isaac Chairez Oria authored at least 132 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Convolutional neural networks for pattern classifying based on parameterized predefined sequence of image filters.
Neural Comput. Appl., August, 2024

Assessment of machine learning strategies for simplified detection of autism spectrum disorder based on the gut microbiome composition.
Neural Comput. Appl., May, 2024

Emulator of electrocardiographically biopotentials based on a sliding mode controlled buck power converter.
J. Syst. Control. Eng., March, 2024

Extremum seeking control for the trajectory tracking of a skid steering vehicle via averaged sub-gradient integral sliding-mode theory.
Robotics Auton. Syst., 2024

Identification of Hamiltonian systems using neural networks and first integrals approaches.
Neurocomputing, 2024

Adaptive modeling of systems with uncertain dynamics via continuous long-short term memories.
Neurocomputing, 2024

Differential neural network robust constrained controller using approximate dynamic programming.
Eur. J. Control, 2024

2023
Differential Neural Networks Prediction Using Slow and Fast Hybrid Learning: Application to Prognosis of Infectionsand Deaths of COVID-19 Dynamics.
Neural Process. Lett., December, 2023

Rational Continuous Neural Network Identifier for Singular Perturbed Systems With Uncertain Dynamical Models.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Output feedback averaged sub-gradient integral sliding mode control to regulate the tridimensional autonomous motion of autonomous submersible vehicles.
J. Syst. Control. Eng., April, 2023

Home-care nursing controlled mobile robot with vital signal monitoring.
Medical Biol. Eng. Comput., February, 2023

On the dynamic neural network toolbox design for identification, estimation and control.
Kybernetes, 2023

Output feedback adaptive controller of a autonomous skid-steering mobile vehicle based on sequential super-twisting differentiators.
J. Syst. Control. Eng., 2023

Dynamic Neural Network with Guaranteed Sensitivity to External Influences.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Output feedback robust control for teleoperated manipulator robots with different workspace.
Expert Syst. Appl., November, 2022

Finite-Time Output Feedback Robust Controller Based on Tangent Barrier Lyapunov Function for Restricted State Space for Biped Robot.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Sliding-Mode Control of Full-State Constraint Nonlinear Systems: A Barrier Lyapunov Function Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Practical Realization of Implicit Homogeneous Controllers for Linearized Systems.
IEEE Trans. Ind. Electron., 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

Adaptive modeling of nonnegative environmental systems based on projectional Differential Neural Networks observer.
Neural Networks, 2022

Adaptive terminal sliding mode control of a regulated multidimensional electrospinning device for polymeric structures.
J. Syst. Control. Eng., 2022

Robust dynamic backstepping averaged sub-gradient integral sliding mode control for navigation of mobile robots.
J. Syst. Control. Eng., 2022

Safe operation for teleoperated robotic manipulators with restricted synchronization error via non-singular terminal sliding-mode control.
J. Frankl. Inst., 2022

Lyapunov stable learning laws for multilayer recurrent neural networks.
Neurocomputing, 2022

Stable learning laws design for long short-term memory identifier for uncertain discrete systems via control Lyapunov functions.
Neurocomputing, 2022

Neuro-adaptive sliding mode control for underground coal gasification energy conversion process.
Int. J. Control, 2022

Super-twisting-based sliding mode control of drum boiler energy conversion systems.
Int. J. Control, 2022

Exponential Continuous Non-Parametric Neural Identifier With Predefined Convergence Velocity.
IEEE CAA J. Autom. Sinica, 2022

Energetic optimization of an autonomous mobile socially assistive robot for autism spectrum disorder.
Frontiers Robotics AI, 2022

Simultaneous state and parameter estimation method for a conventional ozonation system.
Comput. Chem. Eng., 2022

Brain Computer Interface for Speech Synthesis Based on Multilayer Differential Neural Networks.
Cybern. Syst., 2022

Adaptive Controller Based on Barrier Lyapunov Function for a Composite Cartesian-Delta Robotic Device for Precise Time-Varying Position Tracking.
Proceedings of the 10th International Conference on Control, Mechatronics and Automation, 2022

Alternator with controllable frequency and amplitude.
Proceedings of the XXVIII International Conference on Information, 2022

Adaptive control of a biped robot mobilized by linear actuators considering articular restrictions.
Proceedings of the 8th International Conference on Control, 2022

Adaptive gain first-order sliding mode control for a millimetric electrospinning device with output constraints.
Proceedings of the 8th International Conference on Control, 2022

Adaptive extended state feedback controller for a multilink robotic manipulator with micro-metric piezoelectric grasping end-effector.
Proceedings of the 8th International Conference on Control, 2022

Backstepping second order sliding mode control for a car-like robot.
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
Output feedback robust disturbance rejection tracking control design for a bipedal robotic system with articulation constraints.
J. Syst. Control. Eng., 2021

Sliding mode control of an ozone generator based on dual AC/DC/AC power converters.
J. Syst. Control. Eng., 2021

Dynamic Motion Backstepping Control of Underwater Autonomous Vehicle Based on Averaged Sub-gradient Integral Sliding Mode Method.
J. Intell. Robotic Syst., 2021

Discrete event-driven control of an active orthosis regulated by electromyographic signals for Canis lupus familiaris.
Intell. Serv. Robotics, 2021

Tridimensional autonomous motion robust control of submersible ship based on averaged sub-gradient integral sliding mode approach.
Int. J. Syst. Sci., 2021

Differential neural network approximation of positive systems: An asymmetric barrier Lyapunov functions approach for learning laws design.
Neurocomputing, 2021

Control of a hybrid upper-limb orthosis device based on a data-driven artificial neural network classifier of electromyography signals.
Biomed. Signal Process. Control., 2021

Non-parametric identification of homogeneous dynamical systems.
Autom., 2021

Musculoskeletal Neural Network path generator for a virtual upper-limb active controlled orthosis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach.
IEEE Trans. Neural Networks Learn. Syst., 2020

Projectional Observers of Nonlinear Systems With Full-State Constraints.
IEEE Trans. Circuits Syst., 2020

Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach.
Neural Networks, 2020

Tracking control of tomographic image acquisition robotic system based on active disturbance rejection theory with adaptive gains.
J. Syst. Control. Eng., 2020

Time-varying output-based Takagi-Sugeno fuzzy controller of uncertain nonlinear systems.
Int. J. Syst. Sci., 2020

Robust optimal feedback control design for uncertain systems based on artificial neural network approximation of the Bellman's value function.
Neurocomputing, 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

Continuous and recurrent pattern dynamic neural networks recognition of electrophysiological signals.
Biomed. Signal Process. Control., 2020

Robust Gradient Estimator for Unknown Frequency Estimation in Noisy Environment: Application to Grid-Synchronization.
IEEE Access, 2020

Bioinformatics-inspired non-parametric modelling of pharmacokinetics-pharmacodynamics systems using differential neural networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Continuous electroencephalographic signal automatic classification using Deep Differential Neural Networks.
Proceedings of the 7th International Conference on Control, 2020

Extended integral sliding mode robust sub-gradient extremum seeking control for tracking trajectory of autonomous underwater vehicle.
Proceedings of the 7th International Conference on Control, 2020

Unsupervised learning for a clustering algorithm based on ellipsoidal calculus.
Proceedings of the 7th International Conference on Control, 2020

2019
Automatic detection of electrocardiographic arrhythmias by parallel continuous neural networks implemented in FPGA.
Neural Comput. Appl., 2019

Adaptive sliding-mode observer for second order discrete-time MIMO nonlinear systems based on recurrent neural-networks.
Int. J. Mach. Learn. Cybern., 2019

Automatic electroencephalographic information classifier 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

A survey on artificial neural networks application for identification and control in environmental engineering: Biological and chemical systems with uncertain models.
Annu. Rev. Control., 2019

Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Fixed-time robust output feedback control of a restricted state biped robot based on a tangent barrier Lyapunov function.
Proceedings of the 16th International Conference on Electrical Engineering, 2019

Output Adaptive Control of a Skid Steering Autonomous Vehicle.
Proceedings of the 16th International Conference on Electrical Engineering, 2019

Decentralized sliding-mode control of robotic manipulator with constraint workspace: a finite-convergent barrier Lyapunov approach.
Proceedings of the 16th International Conference on Electrical Engineering, 2019

Terminal sliding mode control of a virtual humanoid robot.
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

Multimodal molecular 3D imaging for the tumoral volumetric distribution assessment of folate-based biosensors.
Medical Biol. Eng. Comput., 2018

Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks.
Complex., 2018

Estimation of Contaminants Decomposition in Solid Phase with Ozone by Differential Neural Networks with Discontinuous Learning Law.
Proceedings of the 15th International Workshop on Variable Structure Systems, 2018

Adaptive Proportional Derivative Controller of Cooperative Manipulators.
Proceedings of the 12th IFAC Symposium on Robot Control, 2018

Adaptive sliding-mode control with integral compensation for robotic devices with state constraints.
Proceedings of the 12th IFAC Symposium on Robot Control, 2018

Residence Time Regulation in Chemical Processes: Local Optimal Control Realization by Differential Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017
Adaptive Neural Network Nonparametric Identifier With Normalized Learning Laws.
IEEE Trans. Neural Networks Learn. Syst., 2017

Takagi-Sugeno Dynamic Neuro-Fuzzy Controller of Uncertain Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2017

Windowed electroencephalographic signal classifier based on continuous neural networks with delays in the input.
Expert Syst. Appl., 2017

Active disturbance rejection control based on differential neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Two-layer dynamic neural field learning law basec on controlled Lyapunov functions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Trajectory tracking adaptive disturbance rejection controller for a tomographic robotic system.
Proceedings of the 4th International Conference on Control, 2017

Trajectory tracking disturbance rejection controller for a state constrained biped robot.
Proceedings of the 4th International Conference on Control, 2017

2016
Adaptive identifier for uncertain complex-valued discrete-time nonlinear systems based on recurrent neural networks.
Neural Process. Lett., 2016

Pattern recognition for electroencephalographic signals based on continuous neural networks.
Neural Networks, 2016

Parametric identifier of metabolic network associated to hydrogen production in <i>Escherichia coli</i> based on robust sliding-mode differentiation.
Netw. Model. Anal. Health Informatics Bioinform., 2016

Distributed parameter system identification using finite element differential neural networks.
Appl. Soft Comput., 2016

Bilateral output based control of a Master-Slave mechanical system: An Active Disturbance Rejection approach.
Proceedings of the 2016 American Control Conference, 2016

Output based backstepping control for trajectory tracking of an Autonomous Underwater Vehicle.
Proceedings of the 2016 American Control Conference, 2016

2015
Robust Trajectory Tracking of a Delta Robot Through Adaptive Active Disturbance Rejection Control.
IEEE Trans. Control. Syst. Technol., 2015

Metodología de clasificación de señales electromiográficas.
Res. Comput. Sci., 2015

2014
Adaptive Identifier for Uncertain Complex Nonlinear Systems Based on Continuous Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

Finite time convergent learning law for continuous neural networks.
Neural Networks, 2014

Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal.
Neural Networks, 2014

Multiple DNN identifier for uncertain nonlinear systems based on Takagi-Sugeno inference.
Fuzzy Sets Syst., 2014

Proportional derivative fuzzy control supplied with second order sliding mode differentiation.
Eng. Appl. Artif. Intell., 2014

Parameter identification of a permanent magnet synchronous motor.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Differential Neuro-Fuzzy Controller for Uncertain Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2013

Nonlinear discrete time neural network observer.
Neurocomputing, 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

Active Disturbance Rejection Control based on a simultaneous adaptive observer and a time varying parameter identifier.
Proceedings of the 12th European Control Conference, 2013

2012
DNN-state identification of 2D distributed parameter systems.
Int. J. Syst. Sci., 2012

Observer design for a class of hyperbolic PDE equation based on a Distributed Super Twisting Algorithm.
Proceedings of the 12th International Workshop on Variable Structure Systems, 2012

Neuro-observer based on backstepping technique for distributed parameters systems.
Proceedings of the 9th International Conference on Electrical Engineering, 2012

2010
Continuous Neural Networks Applied to identify a class of uncertain parabolic Partial differential equations.
Int. J. Model. Simul. Sci. Comput., 2010

Non-parametric Modeling of the Optical Nerve Response by Trans-corneal Stimulation Using Differential Neural Networks.
Proceedings of the 9th Mexican International Conference on Artificial Intelligence, 2010

Discrete time recurrent neural network sliding mode observer.
Proceedings of the International Joint Conference on Neural Networks, 2010

Model predictive control by differential neural networks approach.
Proceedings of the International Joint Conference on Neural Networks, 2010

Improved DNN identifier based on takagi sugeno fuzzy systems.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

Design of variable gain super-twisting observer for nonlinear systems with sampled output.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

Adaptive linearization for nonlinear systems using continuous Neural Networks.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

Robust identification of uncertain Schrödinger type complex partial differential equations.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

Wireless trans-corneal stimulus for the optical nerve based on adaptive modeling using continuous neural networks.
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
Wavelet Differential Neural Network Observer.
IEEE Trans. Neural Networks, 2009

Discrete time recurrent neural network observer.
Proceedings of the International Joint Conference on Neural Networks, 2009

Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Neural numerical modeling for uncertain distributed parameter systems.
Proceedings of the International Joint Conference on Neural Networks, 2009

Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks.
Proceedings of the Artificial Neural Networks, 2009

2008
Sliding mode neurocontrol for the class of dynamic uncertain non-linear systems.
Int. J. Control, 2008

Practical stability analysis for DNN observation.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Projectional differential neural network observer with stable adaptation weights.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2006
New Sliding-Mode Learning Law for Dynamic Neural Network Observer.
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Hepatitis C Dynamics' Estimation Process by Differential Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Switching Learning Law for Differential Neural Observer for Biodegradation Process.
Proceedings of the International Joint Conference on Neural Networks, 2006

Neuro Tracking Control for Immunotherapy Cancer Treatment.
Proceedings of the International Joint Conference on Neural Networks, 2006

Extended Kalman Filter Weights Adjustment for Neonatal Incubator Neurofuzzy Identification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Neural differential tracking control in cancer model.
Proceedings of the American Control Conference, 2006


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