C. Treesatayapun

发表

Data‐driven optimal fault‐tolerant‐control and detection for a class of unknown nonlinear discrete‐time systems

C. Treesatayapun, 2021, Optimal Control Applications and Methods.

On-line Learning of Fuzzy Rule Emulated Networks for a Class of Unknown Nonlinear Discrete-Time Controllers with Estimated Linearization

C. Treesatayapun, 2010 .

Controlled System Using Fuzzy Input Adaptive Networks

C. Treesatayapun, 2022 .

Model Dynamics and Optimal Control for Intervention Policy of COVID-19 Epidemic with Quarantine and Immigrating Disturbances

C. Treesatayapun, 2022, Bulletin of Mathematical Biology.

Prediction of the pH effect on arsenic (V) removal by varying catalyst of magnetic xerogel monoliths based on FREN model

C. Treesatayapun, P. Gamero‐Melo, Sasirot Khamkure, 2020 .

Textural properties of Magnetic Xerogel monoliths and its Prediction of the Effect of pH on Arsenic (V) adsorption

C. Treesatayapun, P. Gamero‐Melo, Sasirot Khamkure, 2019, 2019 International Conference on Engineering, Science, and Industrial Applications (ICESI).

THICKNESS DETERMINATION OF A PLATE WITH VARYING THICKNESS USING AN ARTIFICIAL NEURAL NETWORK FOR TIME‐FREQUENCY REPRESENTATION OF LAMB WAVES

Chidentree Treesatayapun, Arturo Baltazar, A. Balvantin, 2009 .

Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination

C. Treesatayapun, 2021, Biomedical Signal Processing and Control.

Model-free discrete-time fractional fuzzy control of robotic manipulators

A. Muñoz‐Vázquez, C. Treesatayapun, 2021, J. Frankl. Inst..

Knowledge-based reinforcement learning controller with fuzzy-rule network: experimental validation

C. Treesatayapun, 2019, Neural computing & applications (Print).

Controlling and Synchronization of Chaotic System using FREN with Sliding Bounds

S. Uatrongjit, C. Treesatayapun, S. Uatrongjit, 2004, Control. Intell. Syst..

Balancing control energy and tracking error for fuzzy rule emulated adaptive controller

C. Treesatayapun, 2014, Applied Intelligence.

Tradeoff-optimal-controller based on compact fuzzy data-driven model and multi-gradient learning

C. Treesatayapun, C. Treesatayapun, 2021, Int. J. Mach. Learn. Cybern..

Tradeoff-optimal-controller based on compact fuzzy data-driven model and multi-gradient learning

C. Treesatayapun, 2021, International Journal of Machine Learning and Cybernetics.

Discrete-time adaptive controller based on IF-THEN rules database for novel architecture of ABB IRB-1400

C. Treesatayapun, C. Treesatayapun, 2020, J. Frankl. Inst..

Discrete-Time Adaptive Controller for Unfixed and Unknown Control Direction

Chidentree Treesatayapun, C. Treesatayapun, 2018, IEEE Transactions on Industrial Electronics.

Data input-output adaptive controller based on IF-THEN rules for a class of non-affine discrete-time systems: The robotic plant

Chidentree Treesatayapun, C. Treesatayapun, 2015, J. Intell. Fuzzy Syst..

Adaptive control based on IF-THEN rules for grasping force regulation with unknown contact mechanism

Chidentree Treesatayapun, C. Treesatayapun, 2014 .

Adaptive controller with fuzzy rules emulated structure and its applications

S. Uatrongjit, C. Treesatayapun, S. Uatrongjit, 2005, Eng. Appl. Artif. Intell..

Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data

C. Treesatayapun, 2023, International Journal of Machine Learning and Cybernetics.

Data-Driven Adaptive Modelling and Control for a Class of Discrete-Time Robotic Systems Based on a Generalized Jacobian Matrix Initialization

C. Treesatayapun, A. Morales-Díaz, J. S. Galindo-Valdés, 2023, Mathematics.

Adaptive control for lift-off effect of EMAT based on IF-THEN rules and ultrasound RMS value

Chidentree Treesatayapun, Arturo Baltazar, Saul Orzua, 2013, 2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE).

Fault-tolerant control based on reinforcement learning and sliding event-triggered mechanism for a class of unknown discrete-time systems

C. Treesatayapun, 2023, Nonlinear Analysis: Hybrid Systems.

A discrete-time stable controller for an omni-directional mobile robot based on an approximated model

Chidentree Treesatayapun, C. Treesatayapun, 2011 .

Fuzzy Rules Emulated Network Adaptive Controller with Unfixed Learning Rate for a Class of Unknown Discrete-time Nonlinear Systems

Chidentree Treesatayapun, C. Treesatayapun, 2010 .

Nonlinear discrete-time controller based on fuzzy-rule emulated network and shuttering condition

C. Treesatayapun, C. Treesatayapun, 2009, Applied Intelligence.

Reinforcement Fuzzy-Rule Emulated Networks and its Application on Nonlinear Discrete-Time Systems

Chidentree Treesatayapun, C. Treesatayapun, 2009, Int. J. Artif. Intell. Tools.

Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers.

Chidentree Treesatayapun, C. Treesatayapun, 2008, ISA transactions.

Prescribed performance of discrete-time controller based on the dynamic equivalent data model

Chidentree Treesatayapun, C. Treesatayapun, 2020 .

Investigation on damage identification in a pipe using torsional guided waves

C. Treesatayapun, Arturo Baltazar, E. Rojas, 2017 .

Discrete-time robust event-triggered actuator fault-tolerant control based on adaptive networks and reinforcement learning

C. Treesatayapun, 2023, Neural Networks.

Design of a Pose and Force Controller for a Robotized Ultrasonic Probe Based on Neural Networks and Stochastic Gradient Approximation

C. Treesatayapun, L. Facundo-Flores, A. Baltazar, 2021, IEEE Sensors Journal.

Data-driven identification and control based on optic tracking feedback for robotic systems

Chidentree Treesatayapun, Josué Gómez, América Morales, 2021, The International Journal of Advanced Manufacturing Technology.

Grasping force controller for parallel grip with fuzzy rules emulated networks

Chidentree Treesatayapun, C. Treesatayapun, 2013 .

Force feedback controller based on fuzzy-rules emulated networks and Hertzian contact with ultrasound

Jorge Armendariz, Chidentree Treesatayapun, Arturo Baltazar, 2012 .

Fuzzy rules emulated networks with adaptive controller for nonaffine discrete-time systems

C. Treesatayapun, 2012, Neural Computing and Applications.

Stabilized Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Networks and Time Varying Learning Rate

C. Treesatayapun, C. Treesatayapun, 2011, Int. J. Comput. Intell. Appl..

Minimized sodium nitroprusside for mean arterial pressure regulation based on fuzzy rules emulated networks

Chidentree Treesatayapun, C. Treesatayapun, 2010 .

Nonlinear discrete-time controller with unknown systems identification based on fuzzy rules emulated network

Chidentree Treesatayapun, C. Treesatayapun, 2010, Appl. Soft Comput..

The Knowledge-based Fuzzy Rules Emulated Network and its Applications on Direct Adaptive on Nonlinear Control Systems

Chidentree Treesatayapun, C. Treesatayapun, 2005, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate

C. Treesatayapun, C. Treesatayapun, 2011 .

Fuzzy-rule emulated networks, based on reinforcement learning for nonlinear discrete-time controllers.

C. Treesatayapun, 2008, ISA transactions.

Discrete‐time fractional fuzzy control of electrically driven mechanical systems

C. Treesatayapun, Aldo Jonathan Muñoz Vázquez, 2021, Asian Journal of Control.

Knowledge-based reinforcement learning controller with fuzzy-rule network: experimental validation

Chidentree Treesatayapun, C. Treesatayapun, 2019, Neural Computing and Applications.

Stabilized adaptive controller based on direct IF–THEN knowledge of electronic systems for PWM drivers

Chidentree Treesatayapun, C. Treesatayapun, 2015, Electrical Engineering.

Data‐driven model prediction and optimal control for interventional policy of a class of susceptible‐infectious‐removed dynamics with COVID‐19 data

C. Treesatayapun, 2022, Advanced Control for Applications: Engineering and Industrial Systems.

Impulsive optimal control for drug treatment of influenza A virus in the host with impulsive-axis equivalent model

C. Treesatayapun, C. Treesatayapun, 2021, Inf. Sci..