Wireless Haptic Communication Under Varying Delay by Switching-Channel Bilateral Control With Energy Monitor

Tian, Dapeng; Yashiro, Daisuke; Ohnishi, K.

doi:10.1109/tmech.2012.2187459

Cited by 18 publications

(7 citation statements)

References 29 publications

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“…Remark 5: For the networked system (1) with problems defined using Definition 1, the PMFAC is proposed in which the PIAGM1,2(1,1), the sampling rates (7) and the NPD are utilized to produce the control input. The last plant information received at the controller side is defined as y * (k): Case 1 -there is only a delay ( ) sc k t and no packet dropout in the backward channel at the current step, one has:…”

Section: A Pmfac Designmentioning

confidence: 99%

“…To address stability of NCSs with communication delays, many studies were carried out in which the controller designs were depended on assumptions that the time delay was constant [4], was bounded [2], [5]- [7], had a probability distribution function [8], or was represented based on time delay analyses [9], [10]. For NCSs with large delays, control concepts based on variable sampling periods using neural network or prediction theories were adopted [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Data-Based Predictive Hybrid Driven Control for a Class of Imperfect Networked Systems

Dinh

Marco

Greenwood

et al. 2018

IEEE Trans. Ind. Inf.

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Section: A Pmfac Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Data-Based Predictive Hybrid Driven Control for a Class of Imperfect Networked Systems

Dinh

Marco

Greenwood

et al. 2018

IEEE Trans. Ind. Inf.

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“…To address stability of NCSs with communication delays, many studies were carried out in which the controller designs were depended on the assumptions, that the time delay was constant or bounded [2], had a probability distribution function [3], or based on time delay analyses [4]. In other studies, control concepts based on variable sampling periods using neural network or prediction theories were adopted for NCSs with large delays [5].…”

Section: Introductionmentioning

confidence: 99%

A data-based hybrid driven control for networked-based remote control applications

Dinh

Marco

Greenwood

et al. 2017

2017 IEEE International Conference on Mechatronics (ICM)

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Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. Abstract-This paper develops a data-based hybrid driven control (DHDC) approach for a class of networked nonlinear systems compromising delays, packet dropouts and disturbances. First, the delays and/or packet dropouts are detected and updated online using a network problem detector. Second, a single-variable first-order proportional-integral (PI) -based adaptive grey model is designed to predict in a near future the network problems. Third, a hybrid driven scheme integrated a small adaptive buffer is used to allow the system to operate without any interrupt due to the large delays or packet dropouts. Forth, a prediction-based model-free adaptive controller is developed to compensate for the network problems. Effectiveness of the proposed approach is demonstrated through a case study.

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“…Time-varying packet losses are the most dominant phenomena in wireless networks that seriously affect the performance and stability of the system [9]. Although there are limited studies that present the control of haptic communication through a wireless network [10], to the best of the authors' knowledge, no published work has reported a technique that selects network parameters for effective operation of bilaterally-controlled manipulators operated through wireless communication channels.…”

Section: Introductionmentioning

confidence: 99%

Selection of Network Parameters in Wireless Control of Bilateral Teleoperated Manipulators

Maddahi

Liao

Fung

et al. 2015

IEEE Trans. Ind. Inf.

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Wireless Haptic Communication Under Varying Delay by Switching-Channel Bilateral Control With Energy Monitor

Cited by 18 publications

References 29 publications

Data-Based Predictive Hybrid Driven Control for a Class of Imperfect Networked Systems

Data-Based Predictive Hybrid Driven Control for a Class of Imperfect Networked Systems

A data-based hybrid driven control for networked-based remote control applications

Selection of Network Parameters in Wireless Control of Bilateral Teleoperated Manipulators

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