کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6959540 | 1451959 | 2015 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Control of uncertain highly nonlinear biological process based on Takagi-Sugeno fuzzy models
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Control of uncertain highly nonlinear biological process based on Takagi-Sugeno fuzzy models Control of uncertain highly nonlinear biological process based on Takagi-Sugeno fuzzy models](/preview/png/6959540.png)
چکیده انگلیسی
This note deals with the control of uncertain highly nonlinear biological processes. Indeed, an adaptive fuzzy control (AFC) scheme is developed for the pre-treatment of wastewater represented by a Takagi-Sugeno (TS) fuzzy model. The proposed approach uses a fuzzy system to approximate the unknown substrate consumption rate in designing the adaptive controller, and then an observer is designed to estimate the concentration in substrate at the outlet bioreactor. The observer is employed to generate an error signal for the adaptive control law which permits to minimize the influence of the measurement noise on the estimation of the substrate concentration. An update of the fuzzy models parameters are obtained using Lyapunov׳s second method. The closed-loop system behavior is then illustrated on a noisy simulation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 108, March 2015, Pages 195-205
Journal: Signal Processing - Volume 108, March 2015, Pages 195-205
نویسندگان
S. Bououden, M. Chadli, H.R. Karimi,