Directions in Mathematical Systems Theory and Optimization

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Release : 2003-07-01
Genre : Computers
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Book Rating : 065/5 ( reviews)

Directions in Mathematical Systems Theory and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Directions in Mathematical Systems Theory and Optimization write by Anders Rantzer. This book was released on 2003-07-01. Directions in Mathematical Systems Theory and Optimization available in PDF, EPUB and Kindle. For more than three decades, Anders Lindquist has delivered fundamental cont- butions to the ?elds of systems, signals and control. Throughout this period, four themes can perhaps characterize his interests: Modeling, estimation and ?ltering, feedback and robust control. His contributions to modeling include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic and stochastic systems, on the solution of the rational covariance extension problem and on system identi?cation. His contributions to ?ltering and estimation include the development of fast ?ltering algorithms, leading to a nonlinear dynamical system which computes spectral factors in its steady state, and which provide an alternate, linear in the dimension of the state space, to computing the Kalman gain from a matrix Riccati equation. His further research on the phase portrait of this dynamical system gave a better understanding of when the Kalman ?lter will converge, answering an open question raised by Kalman. While still a student he established the separation principle for stochastic function differential equations, including some fundamental work on optimal control for stochastic systems with time lags. He continued his interest in feedback control by deriving optimal and robust control feedback laws for suppressing the effects of harmonic disturbances. Moreover, his recent work on a complete parameterization of all rational solutions to the Nevanlinna-Pick problem is providing a new approach to robust control design.

Optimization of Elliptic Systems

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Release : 2007-01-04
Genre : Mathematics
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Book Rating : 364/5 ( reviews)

Optimization of Elliptic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization of Elliptic Systems write by Pekka Neittaanmaki. This book was released on 2007-01-04. Optimization of Elliptic Systems available in PDF, EPUB and Kindle. The present monograph is intended to provide a comprehensive and accessible introduction to the optimization of elliptic systems. This area of mathematical research, which has many important applications in science and technology. has experienced an impressive development during the past two decades. There are already many good textbooks dealing with various aspects of optimal design problems. In this regard, we refer to the works of Pironneau [1984], Haslinger and Neittaanmaki [1988], [1996], Sokolowski and Zolksio [1992], Litvinov [2000], Allaire [2001], Mohammadi and Pironneau [2001], Delfour and Zolksio [2001], and Makinen and Haslinger [2003]. Already Lions [I9681 devoted a major part of his classical monograph on the optimal control of partial differential equations to the optimization of elliptic systems. Let us also mention that even the very first known problem of the calculus of variations, the brachistochrone studied by Bernoulli back in 1696. is in fact a shape optimization problem. The natural richness of this mathematical research subject, as well as the extremely large field of possible applications, has created the unusual situation that although many important results and methods have already been est- lished, there are still pressing unsolved questions. In this monograph, we aim to address some of these open problems; as a consequence, there is only a minor overlap with the textbooks already existing in the field.

Algebraic and Symbolic Computation Methods in Dynamical Systems

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Release : 2020-05-30
Genre : Science
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Book Rating : 563/5 ( reviews)

Algebraic and Symbolic Computation Methods in Dynamical Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algebraic and Symbolic Computation Methods in Dynamical Systems write by Alban Quadrat. This book was released on 2020-05-30. Algebraic and Symbolic Computation Methods in Dynamical Systems available in PDF, EPUB and Kindle. This book aims at reviewing recent progress in the direction of algebraic and symbolic computation methods for functional systems, e.g. ODE systems, differential time-delay equations, difference equations and integro-differential equations. In the nineties, modern algebraic theories were introduced in mathematical systems theory and in control theory. Combined with real algebraic geometry, which was previously introduced in control theory, the past years have seen a flourishing development of algebraic methods in control theory. One of the strengths of algebraic methods lies in their close connections to computations. The use of the above-mentioned algebraic theories in control theory has been an important source of motivation to develop effective versions of these theories (when possible). With the development of computer algebra and computer algebra systems, symbolic methods for control theory have been developed over the past years. The goal of this book is to propose a partial state of the art in this direction. To make recent results more easily accessible to a large audience, the chapters include materials which survey the main mathematical methods and results and which are illustrated with explicit examples.

Mathematical Theory of Optimization

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Release : 2013-03-14
Genre : Mathematics
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Book Rating : 956/5 ( reviews)

Mathematical Theory of Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical Theory of Optimization write by Ding-Zhu Du. This book was released on 2013-03-14. Mathematical Theory of Optimization available in PDF, EPUB and Kindle. This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems.

An Introduction to Optimal Control Problems in Life Sciences and Economics

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Release : 2011-05-05
Genre : Mathematics
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Book Rating : 985/5 ( reviews)

An Introduction to Optimal Control Problems in Life Sciences and Economics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Introduction to Optimal Control Problems in Life Sciences and Economics write by Sebastian Aniţa. This book was released on 2011-05-05. An Introduction to Optimal Control Problems in Life Sciences and Economics available in PDF, EPUB and Kindle. Combining control theory and modeling, this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences. Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new ideas, and carefully presented MATLAB® programs help foster an understanding of the basics, but also lead the way to new, independent research. With minimal prerequisites and exercises in each chapter, this work serves as an excellent textbook and reference for graduate and advanced undergraduate students, researchers, and practitioners in mathematics, physics, engineering, computer science, as well as biology, biotechnology, economics, and finance.