LMI based sampled-data controller for synchronization on the time-delay Darcy-Brinkman model
Journal of the Franklin Institute, ISSN: 0016-0032, Vol: 359, Issue: 12, Page: 5865-5890
2022
- 12Citations
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper analyzed the sampled-data controller for using time-delay nonlinear systems with a bounded uncertainty approach. Based on the Lyapunov stability theory, some synchronization criteria are first obtained. Here, the time-delay is assumed to be constant and known. Instead of solving a nonlinear optimization problem, it will be developed by solving a set of linear matrix inequalities (LMIs). The controller gains can be obtained by solving a set of LMIs. During the development of the Darcy-Brinkman model, numerical examples are used to demonstrate the accuracy and dependability of the presented approaches. Finally, numerical simulations show that the proposed solutions are effective and feasible.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0016003222004100; http://dx.doi.org/10.1016/j.jfranklin.2022.06.020; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85133858729&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0016003222004100; https://dx.doi.org/10.1016/j.jfranklin.2022.06.020
Elsevier BV
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