Linear matrix inequalities and evolutionary optimization in multiobjective control

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimization on linear matrix inequalities for polynomial systems control

Many problems of systems control theory boil down to solving polynomial equations, polynomial inequalities or polyomial differential equations. Recent advances in convex optimization and real algebraic geometry can be combined to generate approximate solutions in floating point arithmetic. In the first part of the course we describe semidefinite programming (SDP) as an extension of linear progr...

متن کامل

Multiobjective H 2 =h 1 -optimal Control via Finite Dimensional Q-parametrization and Linear Matrix Inequalities

The problem of multiobjective H2=H1 optimal controller design is reviewed. There is as yet no exact solution to this problem. We present a method based on that proposed by Scherer 14]. The problem is formulated as a convex semidef-inite program (SDP) using the LMI formulation of the H2 and H1 norms. Suboptimal solutions are computed using-nite dimensional Q-parametrization. The objective value ...

متن کامل

Evolutionary Multiobjective Optimization

Very often real world applications have several multiple conflicting objectives. Recently there has been a growing interest in evolutionary multiobjective optimization algorithms which combines two major disciplines: evolutionary computation and the theoretical frameworks of multicriteria decision making. In this introductory chapter, we define some fundemental concepts of multiobjective optimi...

متن کامل

Multiobjective PI/PID Control Design Using an Iterative Linear Matrix Inequalities Algorithm

Many real world control systems usually track several control objectives, simultaneously. At the moment, it is desirable to meet all specified goals using the controllers with simple structures like as proportional-integral (PI) and proportional-integral-derivative (PID) which are very useful in industry applications. Since in practice, these controllers are commonly tuned based on classical or...

متن کامل

Editorial: Evolutionary Multiobjective Optimization

Multiobjective optimization is about finding solutions to problems with respect to multiple, often conflicting, decision criteria. Also termed multicriteria optimization or vector optimization, this area has been strongly developed in the 1970s within operations research, decision theory [1], and engineering [17]. Typical application examples range from expected profit versus risk in portfolio ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Systems Science

سال: 2006

ISSN: 0020-7721,1464-5319

DOI: 10.1080/00207720600783942