کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7125224 | 1461534 | 2014 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Forward and inverse modelling approaches for prediction of light stimulus from electrophysiological response in plants
ترجمه فارسی عنوان
رویکرد مدل سازی پیشرو و معکوس برای پیش بینی محرک های نور از پاسخ الکتروفیزیولوژیک در گیاهان
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کلمات کلیدی
مدل سازی دینامیکی، پیش بینی محیط زیست، مدل معکوس، سیگنال الکتریکی کارخانه، برآوردگرهای آماری، شناسایی سیستم،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
In this paper, system identification approach has been adopted to develop a novel dynamical model for describing the relationship between light as an environmental stimulus and the electrical response as the measured output for a bay leaf (Laurus nobilis) plant. More specifically, the target is to predict the characteristics of the input light stimulus (in terms of on-off timing, duration and intensity) from the measured electrical response - leading to an inverse problem. We explored two major classes of system estimators to develop dynamical models - linear and nonlinear - and their several variants for establishing a forward and also an inverse relationship between the light stimulus and plant electrical response. The best class of models are given by the Nonlinear Hammerstein-Wiener (NLHW) estimator showing good data fitting results over other linear and nonlinear estimators in a statistical sense. Consequently, a few set of models using different functional variants of NLHW has been developed and their accuracy in detecting the on-off timing and intensity of the input light stimulus are compared for 19 independent plant datasets (including 2 additional species viz. Zamioculcas zamiifolia and Cucumis sativus) under similar experimental scenario.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 53, July 2014, Pages 101-116
Journal: Measurement - Volume 53, July 2014, Pages 101-116
نویسندگان
Shre Kumar Chatterjee, Sanmitra Ghosh, Saptarshi Das, Veronica Manzella, Andrea Vitaletti, Elisa Masi, Luisa Santopolo, Stefano Mancuso, Koushik Maharatna,