Exploiting Parallel Computing to Control Uncertain Nonlinear Systems in Real-Time-Reference-Cited by-同舟云学术

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Exploiting Parallel Computing to Control Uncertain Nonlinear Systems in Real-Time

Published:2020-06-10 Issue:6 Volume:44 Page:735-749
ISSN:0732-8818
Container-title:Experimental Techniques
language:en
Short-container-title:Exp Tech

Author:

Condori J.,Maghareh A.,Orr J.,Li H.-W.,Montoya H.,Dyke S.,Gill C.,Prakash A.

Funder

John E. Goldberg Fellowship - Purdue University

Peruvian National Council of Science, Technology, and Technological Innovation (CONCYTEC) Fellowship

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s40799-020-00373-w.pdf

Reference39 articles.

1. Lund A, Dyke SJ, Song W, Bilionis I (2019) Global sensitivity analysis for the design of nonlinear identification experiments. Nonlinear Dyn 98:375–394. https://doi.org/10.1007/s11071-019-05199-9

2. Lund A, Dyke SJ, Song W, Bilionis I (2020) Bayesian identification of a nonlinear energy sink device: method comparison. In: Conference Proceedings of the Society for Experimental Mechanics Series. Springer New York LLC, p 173–175

3. Song W, Dyke S (2013) Development of a cyber-physical experimental platform for real-time dynamic model updating. Mech Syst Signal Process 37:388–402. https://doi.org/10.1016/j.ymssp.2012.12.007

4. Kim J, Kim H, Lakshmanan K, Rajkumar R (2013) Parallel scheduling for cyber-physical systems. In: Proceedings of the ACM/IEEE 4th international conference on cyber-physical systems - ICCPS ‘13. ACM Press, New York, p 31–40

5. ROS.org | Powering the world’s robots. https://www.ros.org/. Accessed 25 Oct 2019

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