الرئيسية > قسم الهندسة المدنية > الأبحاث العلمية >Frequency-Weighted Discrete-Time LPV Model Reduction Using Structurally Balanced Truncation
Frequency-Weighted Discrete-Time LPV Model Reduction Using Structurally Balanced Truncation
ملخص البحث:
This paper proposes a method for frequency weighted discrete-time linear parameter-varying (LPV) model reduction with bounded rate of parameter variation, using structurally balanced truncation with a priori (nontight) upper error bounds for each fixed parameter. For systems with both input and output weighting filters, guaranteed stability of the reduced-order model is proved as well as the existence of solutions, provided that the full-order model is stable. A technique based on cone complementarity linearization is proposed to solve the associated linear matrix inequality (LMI) problem. Application to the model of a gantry robot illustrates the effectiveness of the approach. Moreover, a method is proposed to make the reduced order model suitable for practical LPV controller synthesis.

صفحة الكلية على فيسبوك

facebook

إضغط هنا

صفحة الكلية على تويتر

twitter

إضغط هنا

صفحة الكلية على جوجل+

google+

إضغط هنا

صفحة الكلية على يوتيوب

youtube

إضغط هنا