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Mathematical Systems Theory and Economics I/II

Mathematical Systems Theory and Economics I/II
Author: H.W. Kuhn
Publisher: Springer Science & Business Media
Total Pages: 483
Release: 2013-04-17
Genre: Science
ISBN: 3642461964

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The International Summer School on Mathematical Systems Theory and Economics was held at the Villa Monastero in Varenna, Italy, from June 1 through June 12, 1967. The objective of this Summer School was to review the state of the art and the prospects for the application of the mathematical theory of systems to the study and the solution of economic problems. Particular emphasis was given to the use of the mathematical theory of control for the solution of problems in economics. It was felt that the publication of a volume collecting most of the lectures given at the school would show the current status of the application of these methods. The papers are organized into four sections arranged into two volumes: basic theories and optimal control of economic systems which appear in the first volume, and special mathematical problems and special applications which are contained in the second volume. Within each section the papers follow in alphabetical order by author. The seven papers on basic theories are a rather complete representative sample of the fundaments of general systems theory, of the theory of dynamical systems and the theory of control. The five papers on the application of optimal control to economic systems present a broad spectrum of applications.


Mathematical Systems Theory I

Mathematical Systems Theory I
Author: Diederich Hinrichsen
Publisher: Springer Science & Business Media
Total Pages: 818
Release: 2011-08-03
Genre: Mathematics
ISBN: 3540441255

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This book presents the mathematical foundations of systems theory in a self-contained, comprehensive, detailed and mathematically rigorous way. It is devoted to the analysis of dynamical systems and combines features of a detailed introductory textbook with that of a reference source. The book contains many examples and figures illustrating the text which help to bring out the intuitive ideas behind the mathematical constructions.


Introduction to Mathematical Systems Theory

Introduction to Mathematical Systems Theory
Author: J.C. Willems
Publisher: Springer Science & Business Media
Total Pages: 446
Release: 2013-11-11
Genre: Mathematics
ISBN: 1475729537

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Using the behavioural approach to mathematical modelling, this book views a system as a dynamical relation between manifest and latent variables. The emphasis is on dynamical systems that are represented by systems of linear constant coefficients. The first part analyses the structure of the set of trajectories generated by such dynamical systems, and derives the conditions for two systems of differential equations to be equivalent in the sense that they define the same behaviour. In addition the memory structure of the system is analysed through state space models. The second part of the book is devoted to a number of important system properties, notably controllability, observability, and stability. In the third part, control problems are considered, in particular stabilisation and pole placement questions. Suitable for advanced undergraduate or beginning graduate students in mathematics and engineering, this text contains numerous exercises, including simulation problems, and examples, notably of mechanical systems and electrical circuits.


Introduction to Mathematical Systems Theory

Introduction to Mathematical Systems Theory
Author: Christiaan Heij
Publisher: Springer Science & Business Media
Total Pages: 169
Release: 2006-12-18
Genre: Science
ISBN: 3764375493

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This book provides an introduction to the theory of linear systems and control for students in business mathematics, econometrics, computer science, and engineering; the focus is on discrete time systems. The subjects treated are among the central topics of deterministic linear system theory: controllability, observability, realization theory, stability and stabilization by feedback, LQ-optimal control theory. Kalman filtering and LQC-control of stochastic systems are also discussed, as are modeling, time series analysis and model specification, along with model validation.