@article{treesatayapun2017varying,
title = {Varying-sliding condition adaptive controller for a class of unknown discrete-time systems with data-driven model},
author = {Treesatayapun, Chidentree},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Modelling, Identification and Control},
volume = {27},
number = {3},
pages = {210--218},
publisher = {Inderscience Publishers (IEL)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{carreon2017development,
title = {Development of a model-free force controller for soft contact of an ultrasonic test probe},
author = {Carreon, Augusto and Baltazar, Arturo and Treesatayapun, Chidentree},
year = {2017},
date = {2017-01-01},
journal = {The International Journal of Advanced Manufacturing Technology},
volume = {90},
number = {9-12},
pages = {2839--2847},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{Treesatayapun2016,
title = {Estimated plant's sensitivity based on data-driving observer for a class of nonlinear discrete-time control systems},
author = {Treesatayapun, Chidentree},
year = {2016},
date = {2016-06-06},
keywords = {Nonlinear Discrete-Time},
pubstate = {published},
tppubtype = {article}
}
@article{Treesatayapun2016b,
title = {Stabilized adaptive controller based on direct IF-THEN knowledge of electronic systems for PWM},
author = {Treesatayapun, Chidentree},
year = {2016},
date = {2016-06-06},
keywords = {discrete time, PWM driver},
pubstate = {published},
tppubtype = {article}
}
@article{treesatayapun2016adaptive,
title = {Adaptive iterative learning control based on IF--THEN rules and data-driven scheme for a class of nonlinear discrete-time systems},
author = {Treesatayapun, Chidentree},
year = {2016},
date = {2016-01-01},
journal = {Soft Computing},
pages = {1--11},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@proceedings{Treesatayapun2016b,
title = {Adaptive controller based on Sigmoid-RBF for contact force testing machine},
author = {Treesatayapun, Chidentree and Baltazar, Arturo},
year = {2016},
date = {2016-09-14},
keywords = {Artificial neural networks},
pubstate = {published},
tppubtype = {proceedings}
}
@proceedings{Gallegos2016,
title = {Neuro Fuzzy Force Control for Soft Dry Contact Hertzian Ultrasonic Probe},
author = {Gallegos, E. and Baltazar, Arturo and Treesatayapun, Chidentree},
year = {2016},
date = {2016-09-14},
keywords = {Artificial neural networks},
pubstate = {published},
tppubtype = {proceedings}
}
@proceedings{Fernandez2016,
title = {A Study of Sensor Array Aperture for Damage Localization in a Plate-Like Structure Using Ultrasonic Guided Waves},
author = {Fernandez, K. and Baltazar, Arturo and Aranda, Jorge and Treesatayapun, Chidentree},
year = {2016},
date = {2016-09-14},
keywords = {acustic sensors},
pubstate = {published},
tppubtype = {proceedings}
}
@article{Treesatayapun2015,
title = {A data-driven adaptive controller for a class of unknown nonlinear discrete-time systems with estimated PPD},
author = {Treesatayapun, Chidentree},
url = {http://www.sciencedirect.com/science/article/pii/S2215098615000051},
doi = {http://dx.doi.org/10.1016/j.jestch.2014.12.004},
issn = {2215-0986},
year = {2015},
date = {2015-01-01},
journal = {Engineering Science and Technology, an International Journal},
volume = {18},
number = {2},
pages = {218 - 228},
keywords = {DC-motor},
pubstate = {published},
tppubtype = {article}
}
@article{Treesatayapun2014,
title = {Balancing control energy and tracking error for fuzzy rule emulated adaptive controller},
author = {Treesatayapun, Chidentree},
url = {http://dx.doi.org/10.1007/s10489-013-0493-x},
doi = {10.1007/s10489-013-0493-x},
issn = {1573-7497},
year = {2014},
date = {2014-01-01},
volume = {40},
number = {4},
pages = {639--648},
abstract = {In this article, an adaptive controller, which can minimize both tracking error and control energy, is introduced by fuzzy rule emulated network (FREN) for a class of non-affine discrete time systems. The controlled plant can be assumed as fully unknown system dynamic. Only the estimated boundary of pseudo partial derivative (PPD) is required for an on-line learning phase. The update law is derived to guarantee the convergence of tuned parameters. Lyapunov techniques are utilized to demonstrate the performance of a closed-loop system regarding the integration of the infinite cost function. The computer simulation and electronic circuit system validate the effectiveness of the proposed control scheme.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this article, an adaptive controller, which can minimize both tracking error and control energy, is introduced by fuzzy rule emulated network (FREN) for a class of non-affine discrete time systems. The controlled plant can be assumed as fully unknown system dynamic. Only the estimated boundary of pseudo partial derivative (PPD) is required for an on-line learning phase. The update law is derived to guarantee the convergence of tuned parameters. Lyapunov techniques are utilized to demonstrate the performance of a closed-loop system regarding the integration of the infinite cost function. The computer simulation and electronic circuit system validate the effectiveness of the proposed control scheme.
Implementation of a force controller based on fuzzy rule emulate networks for soft contact with an object with unknown mechanical properties, Flexible Automation and Intelligent Manufacturi ng (FAIM), 2014.
@inproceedings{Carreon2014,
title = {Implementation of a force controller based on fuzzy rule emulate networks for soft contact with an object with unknown mechanical properties},
author = {Carreon, Augusto and Treesatayapun, Chidentree and Baltazar, Arturo},
url = {https://www.researchgate.net/publication/300916120_Implementation_of_a_force_controller_based_on_fuzzy_rule_emulate_networks_for_soft_contact_with_an_object_with_unknown_mechanical_properties},
year = {2014},
date = {2014-00-00},
booktitle = {Implementation of a force controller based on fuzzy rule emulate networks for soft contact with an object with unknown mechanical properties},
publisher = {Flexible Automation and Intelligent Manufacturi ng (FAIM)},
abstract = {in this article, a novel force control system for soft contact with an object of unknown mechanical properties is proposed by using an ultrasonic sensor implemented in a 3 DOF manipulator robotic system. The emphasis is on the development of a control system to allow soft contact with an object of nonlinear elastic contact properties. In this work a Multi-input Fuzzy Rules Emulate Network (MiFREN) scheme controller with adaptation is developed to regulate the contact force. We propose the use of an ultrasonic sensor in conjunction with a signal conditioning for force based on a parallel-distributed-model as well as the Hertzian model, and considering the transmission and reflection of ultrasonic wave properties. The IF-THEN rules for the MiFREN control are defined taking into account the human knowledge of a physical system and a stability analysis is developed by the Lyapunov method. The experimental results demonstrate that the system is able to find a stable first contact force and moreover the proposed controller is capable of controlling the contact force for both regulation and tracking tasks.
Implementation of a force controller based on fuzzy rule emulate networks for soft contact with an object with unknown mechanical properties (PDF Download Available). Available from: https://www.researchgate.net/publication/300916120_Implementation_of_a_force_controller_based_on_fuzzy_rule_emulate_networks_for_soft_contact_with_an_object_with_unknown_mechanical_properties [accessed Jun 16, 2017].},
keywords = {fuzzy rule, implementation},
pubstate = {published},
tppubtype = {inproceedings}
}
in this article, a novel force control system for soft contact with an object of unknown mechanical properties is proposed by using an ultrasonic sensor implemented in a 3 DOF manipulator robotic system. The emphasis is on the development of a control system to allow soft contact with an object of nonlinear elastic contact properties. In this work a Multi-input Fuzzy Rules Emulate Network (MiFREN) scheme controller with adaptation is developed to regulate the contact force. We propose the use of an ultrasonic sensor in conjunction with a signal conditioning for force based on a parallel-distributed-model as well as the Hertzian model, and considering the transmission and reflection of ultrasonic wave properties. The IF-THEN rules for the MiFREN control are defined taking into account the human knowledge of a physical system and a stability analysis is developed by the Lyapunov method. The experimental results demonstrate that the system is able to find a stable first contact force and moreover the proposed controller is capable of controlling the contact force for both regulation and tracking tasks.
Implementation of a force controller based on fuzzy rule emulate networks for soft contact with an object with unknown mechanical properties (PDF Download Available). Available from: https://www.researchgate.net/publication/300916120_Implementation_of_a_force_controller_based_on_fuzzy_rule_emulate_networks_for_soft_contact_with_an_object_with_unknown_mechanical_properties [accessed Jun 16, 2017].
