کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
391066 661338 2008 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stable indirect adaptive control based on discrete-time T–S fuzzy model
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Stable indirect adaptive control based on discrete-time T–S fuzzy model
چکیده انگلیسی

This paper presents an indirect adaptive fuzzy control scheme for uncertain nonlinear asymptotically stable plants. A discrete-time T–S fuzzy input–output model is employed to approximate the unknown plant dynamics. The T–S fuzzy model is fed with its own states, which are indeed its past outputs, rather than the measurements from the plants. Entirely based on this model, a feedback linearization control law is designed by using the model structure, model parameters and model states and then applied to control the model and the plant. Premise and consequent parameters of the model are updated on-line by gradient descent algorithm and recursive least square estimation method using plant output measurements. Stability analysis shows that if there the model structure is accurate the adaptive controller achieves the bounded tracking error and boundedness of all the closed-loop signals. In the ideal case where the signals are persistently exciting during the model parameter adaptation a perfect asymptotic tracking is ensured. The effectiveness of the method is verified by simulation application to SISO and MIMO example plants.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 159, Issue 8, 16 April 2008, Pages 900-925