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ORCIDChidentree Treesatayapun
Person information
- affiliation: CINVESTAV-IPN, Ramos Arizpe, Mexico
- affiliation (former): North-Chiangmai University, Chiangmai, Thailand
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Journal Articles
- 2025
[j44]C. Treesatayapun
:
Reinforcement learning adaptive network for nonaffine discrete-time control systems: Managing implicit zero-gain. Eng. Appl. Artif. Intell. 141: 109757 (2025)- [j43]C. Treesatayapun:
Fuzzy Rules Data-Driven Equivalent Model with Multi-gradient Learning for Discrete-Time Nearly Optimal Control. Int. J. Fuzzy Syst. 27(1): 1-12 (2025) - [j42]C. Treesatayapun:
Quantum Inference Fuzzy Rules Network Model Free Adaptive Control for Discontinuous Derivative Discrete-Time Systems. IEEE Trans Autom. Sci. Eng. 22: 5051-5060 (2025) - [j41]Chidentree Treesatayapun:
Equivalent Piecewise Derivative Adaptive Control With Fuzzy Rules Emulated Network and Mitigation of Catastrophic Forgetting Learning. IEEE Trans. Syst. Man Cybern. Syst. 55(1): 758-767 (2025) - 2024
- [j40]Chidentree Treesatayapun:
Adaptive controller based on quantum computation and coherent superposition fuzzy rules network with unknown nonlinearities. Appl. Intell. 54(8): 6238-6251 (2024) - [j39]C. Treesatayapun:
Model-free direct adaptive controller based on quantum-inspired fuzzy rules network for a class of unknown discrete-time systems. J. Frankl. Inst. 361(4): 106662 (2024) - [j38]Chidentree Treesatayapun:
Finite-time adaptive control based on output feedback and auxiliary variables for time-varying parameters and disturbances. J. Frankl. Inst. 361(18): 107273 (2024) - [j37]C. Treesatayapun:
Discrete-Time Reinforcement Learning Adaptive Control for Non-Gaussian Distribution of Sampling Intervals. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13453-13460 (2024) - 2023
- [j36]Chidentree Treesatayapun, Aldo-Jonathan Muñoz-Vázquez:
Optimal drug-dosing of cancer dynamics with fuzzy reinforcement learning and discontinuous reward function. Eng. Appl. Artif. Intell. 120: 105851 (2023) - [j35]Miriam Flores-Padilla, Chidentree Treesatayapun:
Adaptive controller based on the affine equivalent model with disturbance rejection for discrete-time switched systems. Int. J. Syst. Sci. 54(16): 3059-3070 (2023) - [j34]C. Treesatayapun:
Optimal interventional policy based on discrete-time fuzzy rules equivalent model utilizing with COVID-19 pandemic data. Int. J. Mach. Learn. Cybern. 14(9): 3217-3226 (2023) - [j33]Chidentree Treesatayapun, Aldo-Jonathan Muñoz-Vázquez:
Reinforcement control with fuzzy-rules emulated network for robust-optimal drug-dosing of cancer dynamics. Neural Comput. Appl. 35(16): 11701-11711 (2023) - [j32]C. Treesatayapun:
Discrete-time robust event-triggered actuator fault-tolerant control based on adaptive networks and reinforcement learning. Neural Networks 166: 541-554 (2023) - [j31]Chidentree Treesatayapun, Aldo-Jonathan Muñoz-Vázquez, Naret Suyaroj:
Reinforcement learning optimal control with semi-continuous reward function and fuzzy-rules networks for drug administration of cancer treatment. Soft Comput. 27(22): 17347-17356 (2023) - 2022
- [j30]C. Treesatayapun:
Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination. Biomed. Signal Process. Control. 71(Part): 103227 (2022) - [j29]Aldo-Jonathan Muñoz-Vázquez, Chidentree Treesatayapun:
Model-free discrete-time fractional fuzzy control of robotic manipulators. J. Frankl. Inst. 359(2): 952-966 (2022) - [j28]Aldo-Jonathan Muñoz-Vázquez, Chidentree Treesatayapun:
Fractional data-driven model for stabilization of uncertain discrete-time nonlinear systems. J. Frankl. Inst. 359(17): 9690-9702 (2022) - [j27]Chidentree Treesatayapun:
Data-driven fault-tolerant control with fuzzy-rules equivalent model for a class of unknown discrete-time MIMO systems and complex coupling. J. Comput. Sci. 63: 101827 (2022) - [j26]C. Treesatayapun:
Tradeoff-optimal-controller based on compact fuzzy data-driven model and multi-gradient learning. Int. J. Mach. Learn. Cybern. 13(1): 187-198 (2022) - 2021
- [j25]C. Treesatayapun:
Prescribed performance controller with affine equivalent model for a class of unknown nonlinear discrete-time systems. Int. J. Syst. Sci. 52(2): 334-349 (2021) - [j24]C. Treesatayapun:
Impulsive optimal control for drug treatment of influenza A virus in the host with impulsive-axis equivalent model. Inf. Sci. 576: 122-139 (2021) - [j23]Chidentree Treesatayapun, Aldo-Jonathan Muñoz-Vázquez:
Discrete-time data-driven disturbance-observer control based on fuzzy rules emulating networks. J. Comput. Sci. 54: 101426 (2021) - 2020
- [j22]Chidentree Treesatayapun, Aldo-Jonathan Muñoz-Vázquez:
Discrete-time fractional-order control based on data-driven equivalent model. Appl. Soft Comput. 96: 106633 (2020) - [j21]Chidentree Treesatayapun:
Discrete-time adaptive controller based on IF-THEN rules database for novel architecture of ABB IRB-1400. J. Frankl. Inst. 357(8): 4834-4854 (2020) - [j20]Chidentree Treesatayapun:
Knowledge-based reinforcement learning controller with fuzzy-rule network: experimental validation. Neural Comput. Appl. 32(13): 9761-9775 (2020) - [j19]C. Treesatayapun:
Robotic architecture as unknown discrete-time system based on variable-frequency drive and adaptive controller. Robotics Comput. Integr. Manuf. 64: 101951 (2020) - 2018
- [j18]Chidentree Treesatayapun:
Estimated plant's sensitivity based on data-driving observer for a class of nonlinear discrete-time control systems. Int. J. Mach. Learn. Cybern. 9(6): 947-957 (2018) - [j17]Chidentree Treesatayapun:
Adaptive iterative learning control based on IF-THEN rules and data-driven scheme for a class of nonlinear discrete-time systems. Soft Comput. 22(2): 487-497 (2018) - [j16]Chidentree Treesatayapun:
Discrete-Time Adaptive Controller for Unfixed and Unknown Control Direction. IEEE Trans. Ind. Electron. 65(7): 5367-5375 (2018) - 2017
- [j15]Chidentree Treesatayapun:
Varying-sliding condition adaptive controller for a class of unknown discrete-time systems with data-driven model. Int. J. Model. Identif. Control. 27(3): 210-218 (2017) - [j14]C. Treesatayapun:
Discrete-time adaptive controller based on non-switch reaching condition and compact system dynamic estimator. J. Frankl. Inst. 354(15): 6783-6804 (2017) - 2015
- [j13]Chidentree Treesatayapun:
Data input-output adaptive controller based on IF-THEN rules for a class of non-affine discrete-time systems: The robotic plant. J. Intell. Fuzzy Syst. 28(2): 661-668 (2015) - 2014
- [j12]Chidentree Treesatayapun:
Balancing control energy and tracking error for fuzzy rule emulated adaptive controller. Appl. Intell. 40(4): 639-648 (2014) - 2012
- [j11]C. Treesatayapun:
Fuzzy rules emulated networks with adaptive controller for nonaffine discrete-time systems. Neural Comput. Appl. 21(1): 55-65 (2012) - 2011
- [j10]C. Treesatayapun:
Stabilized Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Networks and Time Varying Learning Rate. Int. J. Comput. Intell. Appl. 10(1): 67-85 (2011) - 2010
- [j9]Chidentree Treesatayapun:
Nonlinear discrete-time controller with unknown systems identification based on fuzzy rules emulated network. Appl. Soft Comput. 10(2): 390-397 (2010) - 2009
- [j8]C. Treesatayapun:
Nonlinear discrete-time controller based on fuzzy-rule emulated network and shuttering condition. Appl. Intell. 31(3): 292-304 (2009) - [j7]Chidentree Treesatayapun:
Reinforcement Fuzzy-Rule Emulated Networks and its Application on Nonlinear Discrete-Time Systems. Int. J. Artif. Intell. Tools 18(4): 517-543 (2009) - 2008
- [j6]C. Treesatayapun:
Fuzzy rules emulated network and its application on nonlinear control systems. Appl. Soft Comput. 8(2): 996-1004 (2008) - 2006
- [j5]Chidentree Treesatayapun, Uatrongjit Sermsak:
Biological Systems Drug Infusion Controller Using FREN With Sliding Bounds. IEEE Trans. Biomed. Eng. 53(11): 2405-2408 (2006) - 2005
- [j4]C. Treesatayapun, S. Uatrongjit:
Adaptive controller with fuzzy rules emulated structure and its applications. Eng. Appl. Artif. Intell. 18(5): 603-615 (2005) - [j3]Chidentree Treesatayapun:
The Knowledge-based Fuzzy Rules Emulated Network and its Applications on Direct Adaptive on Nonlinear Control Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 13(6): 653-672 (2005) - [j2]C. Treesatayapun:
Control of drug infusion for biological systems using FREN with sliding bounds. Simul. Model. Pract. Theory 13(1): 77-94 (2005) - 2004
- [j1]C. Treesatayapun, S. Uatrongjit:
Controlling and Synchronization of Chaotic System using FREN with Sliding Bounds. Control. Intell. Syst. 32(3) (2004)
Conference and Workshop Papers
- 2022
- [c16]Josué Gómez, América Morales, Chidentree Treesatayapun, Rodrigo Muñiz:
Data-driven-modelling and Control for a Class of Discrete-Time Robotic System Using an Adaptive Tuning for Pseudo Jacobian Matrix Algorithm. MICAI (2) 2022: 291-302 - 2021
- [c15]Miriam Flores-Padilla, Chidentree Treesatayapun:
Affine equivalent model based on data-driven fuzzy rules for a class of discrete-time adaptive controller. FUZZ-IEEE 2021: 1-6 - [c14]Yair Casas Flores, Chidentree Treesatayapun:
Optimal robotic controller based on signals and data information with kinematic redundancy. IECON 2021: 1-6 - 2019
- [c13]Ludivina Facundo, Chidentree Treesatayapun, Arturo Baltazar:
Adaptive Controller Based on IF-THEN Rules and Simultaneous Perturbation Stochastic Approximation Tuning for a Robotic System. MICAI 2019: 675-686 - 2018
- [c12]Chidentree Treesatayapun:
Dimmable LED current control with compact fuzzy rules network and embedded system. IECON 2018: 2268-2273 - [c11]Josué Gómez, Chidentree Treesatayapun, América Morales:
Free Model Task Space Controller Based on Adaptive Gain for Robot Manipulator Using Jacobian Estimation. MICAI (2) 2018: 264-275 - 2017
- [c10]Chidentree Treesatayapun:
Non-switching sliding controller based on estimated PPD with compact dynamic for rapidly time-varying discrete-time systems. ACC 2017: 468-473 - 2013
- [c9]Saul Orzua, Arturo Baltazar, Chidentree Treesatayapun:
Adaptive control for lift-off effect of EMAT based on IF-THEN rules and ultrasound RMS value. ROSE 2013: 84-89 - 2012
- [c8]César Navarro, Chidentree Treesatayapun, Arturo Baltazar:
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. MICAI (1) 2012: 261-272 - 2010
- [c7]Jorge Armendariz, Chidentree Treesatayapun, Arturo Baltazar:
Development of an estimated force feedback controller based on hertzian contact and ultrasound. ROSE 2010: 110-115 - 2009
- [c6]Chidentree Treesatayapun:
Direct Adaptive Controller for Nonaffine Discrete-Time Systems Based on Fuzzy Rules Emulated Networks. SMC 2009: 2806-2811 - 2008
- [c5]Chidentree Treesatayapun, Vicente Parra-Vega, Francisco José Ruiz Sanchez:
Nonlinear Discrete-Time Adaptive Controller Based on Fuzzy Rules Emulated Network and Its Estimated Gradient. ICMLA 2008: 892-895 - 2004
- [c4]Chidentree Treesatayapun:
Controlling drug infusion biological systems FREN with sliding bounds. ACC 2004: 2278-2283 - 2002
- [c3]C. Treesatayapun, S. Uatrongjit, Kajornsak Kantapanit:
Fuzzy graphic rule network and its application on water bath temperature control system. ACC 2002: 476-480 - [c2]C. Treesatayapun, S. Uatrongjit, K. Likit-Anurucks, Kajornsak Kantapanit:
Control system using fuzzified input neural network. APCCAS (2) 2002: 163-166 - [c1]C. Treesatayapun, W. Silpsrikul, B. Phithakwong, Kajornsak Kantapanit:
Controlled nonlinear systems using fuzzy input adaptive networks. ICARCV 2002: 1615-1619
Coauthor Index
aka: Aldo-Jonathan Muñoz-Vázquez
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last updated on 2025-03-10 21:54 CET by the dblp team
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