شماره ركورد كنفرانس :
3222
عنوان مقاله :
Robust Model Predictive Control for a Class of Uncertain Nonlinear Systems: An LMI Approach
پديدآورندگان :
Ghaffari Valiollah School of Electrical and Computer Engineering - Shiraz University , Safavi Ali Akbar School of Electrical and Computer Engineering - Shiraz University , Naghavi Vahid School of Electrical and Computer Engineering - Shiraz University
كليدواژه :
LMI , Model predictive control , Uncertain nonlinear systems
عنوان كنفرانس :
دومين كنفرانس بين المللي كنترل، ابزار دقيق و اتوماسيون
چكيده لاتين :
This paper addresses a robust predictive control of 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 will be solved online at each time step. A simulation example is exploited to illustrate the applicability of
the proposed approach.
