Fuzzy graphic rule network and its application on water bath temperature control system. - C. Treesatayapun; S. Uatrongjit; Kajornsak Kantapanit (ACC, 2002)

Control system using fuzzified input neural network. - C. Treesatayapun; S. Uatrongjit; K. Likit-Anurucks; Kajornsak Kantapanit (APCCAS (2), 2002)

Controlled nonlinear systems using fuzzy input adaptive networks. - C. Treesatayapun; W. Silpsrikul; B. Phithakwong; Kajornsak Kantapanit (ICARCV, 2002)

Controlling drug infusion biological systems FREN with sliding bounds. - Chidentree Treesatayapun (ACC, 2004)

Controlling and Synchronization of Chaotic System using FREN with Sliding Bounds. - C. Treesatayapun; S. Uatrongjit (Control. Intell. Syst., 2004)

Adaptive controller with fuzzy rules emulated structure and its applications. - C. Treesatayapun; S. Uatrongjit (Eng. Appl. Artif. Intell., 2005)

The Knowledge-based Fuzzy Rules Emulated Network and its Applications on Direct Adaptive on Nonlinear Control Systems. - Chidentree Treesatayapun (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005)

Control of drug infusion for biological systems using FREN with sliding bounds. - C. Treesatayapun (Simul. Model. Pract. Theory, 2005)

Biological Systems Drug Infusion Controller Using FREN With Sliding Bounds. - Chidentree Treesatayapun; Uatrongjit Sermsak (IEEE Trans. Biomed. Eng., 2006)

Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated Gradient. - Chidentree Treesatayapun; Vicente Parra-Vega; Francisco José Ruiz Sanchez (ICMLA, 2008)

Fuzzy rules emulated network and its application on nonlinear control systems. - C. Treesatayapun (Appl. Soft Comput., 2008)

Direct Adaptive Controller for Nonaffine Discrete-Time Systems Based on Fuzzy Rules Emulated Networks. - Chidentree Treesatayapun (SMC, 2009)

Nonlinear discrete-time controller based on fuzzy-rule emulated network and shuttering condition. - C. Treesatayapun (Appl. Intell., 2009)

Reinforcement Fuzzy-Rule Emulated Networks and its Application on Nonlinear Discrete-Time Systems. - Chidentree Treesatayapun (Int. J. Artif. Intell. Tools, 2009)

Development of an estimated force feedback controller based on hertzian contact and ultrasound. - Jorge Armendariz; Chidentree Treesatayapun; Arturo Baltazar (ROSE, 2010)

Nonlinear discrete-time controller with unknown systems identification based on fuzzy rules emulated network. - Chidentree Treesatayapun (Appl. Soft Comput., 2010)

Stabilized Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Networks and Time Varying Learning Rate. - C. Treesatayapun (Int. J. Comput. Intell. Appl., 2011)

Determination of the Instantaneous Initial Contact Point on a Parallel Gripper Using a Multi Input Fuzzy Rules Emulated Network Controller with Feedback from Ultrasonic and Force Sensors. - César Navarro; Chidentree Treesatayapun; Arturo Baltazar (MICAI (1), 2012)

Fuzzy rules emulated networks with adaptive controller for nonaffine discrete-time systems. - C. Treesatayapun (Neural Comput. Appl., 2012)

Adaptive control for lift-off effect of EMAT based on IF-THEN rules and ultrasound RMS value. - Saul Orzua; Arturo Baltazar; Chidentree Treesatayapun (ROSE, 2013)

Balancing control energy and tracking error for fuzzy rule emulated adaptive controller. - Chidentree Treesatayapun (Appl. Intell., 2014)

Data input-output adaptive controller based on IF-THEN rules for a class of non-affine discrete-time systems: The robotic plant. - Chidentree Treesatayapun (J. Intell. Fuzzy Syst., 2015)

Non-switching sliding controller based on estimated PPD with compact dynamic for rapidly time-varying discrete-time systems. - Chidentree Treesatayapun (ACC, 2017)

Varying-sliding condition adaptive controller for a class of unknown discrete-time systems with data-driven model. - Chidentree Treesatayapun (Int. J. Model. Identif. Control., 2017)

Discrete-time adaptive controller based on non-switch reaching condition and compact system dynamic estimator. - C. Treesatayapun (J. Frankl. Inst., 2017)

Dimmable LED current control with compact fuzzy rules network and embedded system. - Chidentree Treesatayapun (IECON, 2018)

Free Model Task Space Controller Based on Adaptive Gain for Robot Manipulator Using Jacobian Estimation. - Josué Gómez; Chidentree Treesatayapun; América Morales (MICAI (2), 2018)

Estimated plant's sensitivity based on data-driving observer for a class of nonlinear discrete-time control systems. - Chidentree Treesatayapun (Int. J. Mach. Learn. Cybern., 2018)

Adaptive iterative learning control based on IF-THEN rules and data-driven scheme for a class of nonlinear discrete-time systems. - Chidentree Treesatayapun (Soft Comput., 2018)

Discrete-Time Adaptive Controller for Unfixed and Unknown Control Direction. - Chidentree Treesatayapun (IEEE Trans. Ind. Electron., 2018)

Adaptive Controller Based on IF-THEN Rules and Simultaneous Perturbation Stochastic Approximation Tuning for a Robotic System. - Ludivina Facundo; Chidentree Treesatayapun; Arturo Baltazar (MICAI, 2019)

Discrete-time fractional-order control based on data-driven equivalent model. - Chidentree Treesatayapun; Aldo-Jonathan Muñoz-Vázquez (Appl. Soft Comput., 2020)

Discrete-time adaptive controller based on IF-THEN rules database for novel architecture of ABB IRB-1400. - Chidentree Treesatayapun (J. Frankl. Inst., 2020)

Knowledge-based reinforcement learning controller with fuzzy-rule network: experimental validation. - Chidentree Treesatayapun (Neural Comput. Appl., 2020)

Robotic architecture as unknown discrete-time system based on variable-frequency drive and adaptive controller. - C. Treesatayapun (Robotics Comput. Integr. Manuf., 2020)

Affine equivalent model based on data-driven fuzzy rules for a class of discrete-time adaptive controller. - Miriam Flores-Padilla; Chidentree Treesatayapun (FUZZ-IEEE, 2021)

Optimal robotic controller based on signals and data information with kinematic redundancy. - Yair Casas Flores; Chidentree Treesatayapun (IECON, 2021)

Prescribed performance controller with affine equivalent model for a class of unknown nonlinear discrete-time systems. - C. Treesatayapun (Int. J. Syst. Sci., 2021)

Impulsive optimal control for drug treatment of influenza A virus in the host with impulsive-axis equivalent model. - C. Treesatayapun (Inf. Sci., 2021)

Discrete-time data-driven disturbance-observer control based on fuzzy rules emulating networks. - Chidentree Treesatayapun; Aldo-Jonathan Muñoz-Vázquez (J. Comput. Sci., 2021)

Data-driven-modelling and Control for a Class of Discrete-Time Robotic System Using an Adaptive Tuning for Pseudo Jacobian Matrix Algorithm. - Josué Gómez; América Morales; Chidentree Treesatayapun; Rodrigo Muñiz (MICAI (2), 2022)

Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination. - C. Treesatayapun (Biomed. Signal Process. Control., 2022)

Model-free discrete-time fractional fuzzy control of robotic manipulators. - Aldo-Jonathan Muñoz-Vázquez; Chidentree Treesatayapun (J. Frankl. Inst., 2022)

Fractional data-driven model for stabilization of uncertain discrete-time nonlinear systems. - Aldo-Jonathan Muñoz-Vázquez; Chidentree Treesatayapun (J. Frankl. Inst., 2022)

Data-driven fault-tolerant control with fuzzy-rules equivalent model for a class of unknown discrete-time MIMO systems and complex coupling. - Chidentree Treesatayapun (J. Comput. Sci., 2022)

Tradeoff-optimal-controller based on compact fuzzy data-driven model and multi-gradient learning. - C. Treesatayapun (Int. J. Mach. Learn. Cybern., 2022)

Optimal drug-dosing of cancer dynamics with fuzzy reinforcement learning and discontinuous reward function. - Chidentree Treesatayapun; Aldo-Jonathan Muñoz-Vázquez (Eng. Appl. Artif. Intell., 2023)

Reinforcement control with fuzzy-rules emulated network for robust-optimal drug-dosing of cancer dynamics. - Chidentree Treesatayapun; Aldo-Jonathan Muñoz-Vázquez (Neural Comput. Appl., 2023)

Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data. - C. Treesatayapun (Int. J. Mach. Learn. Cybern., 2023)

Discrete-time robust event-triggered actuator fault-tolerant control based on adaptive networks and reinforcement learning. - C. Treesatayapun (Neural Networks, 2023)

Reinforcement learning optimal control with semi-continuous reward function and fuzzy-rules networks for drug administration of cancer treatment. - Chidentree Treesatayapun; Aldo-Jonathan Muñoz-Vázquez; Naret Suyaroj (Soft Comput., 2023)

Adaptive controller based on the affine equivalent model with disturbance rejection for discrete-time switched systems. - Miriam Flores-Padilla; Chidentree Treesatayapun (Int. J. Syst. Sci., 2023)

Model-free direct adaptive controller based on quantum-inspired fuzzy rules network for a class of unknown discrete-time systems. - C. Treesatayapun (J. Frankl. Inst., 2024)

Finite-time adaptive control based on output feedback and auxiliary variables for time-varying parameters and disturbances. - Chidentree Treesatayapun (J. Frankl. Inst., 2024)

Adaptive controller based on quantum computation and coherent superposition fuzzy rules network with unknown nonlinearities. - Chidentree Treesatayapun (Appl. Intell., 2024)

Discrete-Time Reinforcement Learning Adaptive Control for Non-Gaussian Distribution of Sampling Intervals. - C. Treesatayapun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mitigating Data Gaps in Solar Energy Systems: MiFREN-Based Forecasting for Enhanced Grid Reliability. - Krit Funsian; Kamon Thinsurat; Chidentree Treesatayapun; Suratsavadee K. Korkua (IAS, 2025)

Discrete-time prescribed performance control with switchable structure: Experimental validation in a system with unknown dynamics and constraints. - Chidentree Treesatayapun (Adv. Eng. Informatics, 2025)

Reinforcement learning adaptive network for nonaffine discrete-time control systems: Managing implicit zero-gain. - C. Treesatayapun (Eng. Appl. Artif. Intell., 2025)

Model-free reinforcement learning control with zero-min barrier functions for constrained systems. - C. Treesatayapun (Neural Networks, 2025)

Quantum Inference Fuzzy Rules Network Model Free Adaptive Control for Discontinuous Derivative Discrete-Time Systems. - C. Treesatayapun (IEEE Trans Autom. Sci. Eng., 2025)

Equivalent Piecewise Derivative Adaptive Control With Fuzzy Rules Emulated Network and Mitigation of Catastrophic Forgetting Learning. - Chidentree Treesatayapun (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Fuzzy Rules Data-Driven Equivalent Model with Multi-gradient Learning for Discrete-Time Nearly Optimal Control. - C. Treesatayapun (Int. J. Fuzzy Syst., 2025)