مشخصات پژوهش

خانه /Robust model predictive ...
عنوان
Robust model predictive control of a class of uncertain nonlinear systems with application to typical CSTR problems
نوع پژوهش مقالات در نشریات
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چکیده
This paper proposes a robust predictive control approach for additive discrete time uncertain nonlinear systems. The controller design is characterized as an optimization problem of the “worst-case” objective function over an infinite moving horizon. A sufficient state feedback synthesis condition is provided in the form of a linear matrix inequality (LMI) optimization and is solved online at each time step. A few simulation examples are exploited to illustrate the effectiveness of this method. Among them are two typical CSTR problems.
پژوهشگران ولی اله غفاری (نفر اول)، سید وحید نقوی (نفر دوم)، سید علی اکبر صفوی (نفر سوم)