شماره ركورد كنفرانس :
4707
عنوان مقاله :
Multivariable systems Model Reduction: A LMI Approach
عنوان به زبان ديگر :
Multivariable systems Model Reduction: A LMI Approach
پديدآورندگان :
Fanoodi Mojtaba m.fanoodi@mail.sbu.ac.ir Department of Systems and Control Engineering Shahid Beheshti University (SBU) Tehran, Iran , Pourgholi Mahdi m.pourgholi@sbu.ac.ir Department of Systems and Control Engineering Shahid Beheshti University (SBU) Tehran, Iran
كليدواژه :
model order reduction , Multi input Multi output (MIMO) system , reduced order model (ROM) , convex optimization , linear matrix inequality (LMI)
عنوان كنفرانس :
پنجمين كنفرانس ملي مهندسي برق و سيستم هاي هوشمند ايران
چكيده فارسي :
This paper investigates a novel technique for Model Order Reduction (MOR) in Multi Input Multi Output (MIMO) systems. The problem of finding a Reduced Order Model (ROM) has been investigated by solving an H_∞ optimization problem as an equal convex optimization procedure. The reduced order model approximation derives out by simply solving a series of Linear Matrix Inequalities (LMIs). A comparative study have been made to illustrate the performance and efficiency of the proposed method. The important characteristics of the step response of both main system and its approximation model also have been considered in both time and frequency domain.
چكيده لاتين :
This paper investigates a novel technique for Model Order Reduction (MOR) in Multi Input Multi Output (MIMO) systems. The problem of finding a Reduced Order Model (ROM) has been investigated by solving an H_∞ optimization problem as an equal convex optimization procedure. The reduced order model approximation derives out by simply solving a series of Linear Matrix Inequalities (LMIs). A comparative study have been made to illustrate the performance and efficiency of the proposed method. The important characteristics of the step response of both main system and its approximation model also have been considered in both time and frequency domain.
