Optimal Control Methods For Linear Discrete Time Economic Systems PDF Download
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| Author | : Y. Murata |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 210 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1461257379 |
Download Optimal Control Methods for Linear Discrete-Time Economic Systems Book in PDF, ePub and Kindle
As our title reveals, we focus on optimal control methods and applications relevant to linear dynamic economic systems in discrete-time variables. We deal only with discrete cases simply because economic data are available in discrete forms, hence realistic economic policies should be established in discrete-time structures. Though many books have been written on optimal control in engineering, we see few on discrete-type optimal control. More over, since economic models take slightly different forms than do engineer ing ones, we need a comprehensive, self-contained treatment of linear optimal control applicable to discrete-time economic systems. The present work is intended to fill this need from the standpoint of contemporary macroeconomic stabilization. The work is organized as follows. In Chapter 1 we demonstrate instru ment instability in an economic stabilization problem and thereby establish the motivation for our departure into the optimal control world. Chapter 2 provides fundamental concepts and propositions for controlling linear deterministic discrete-time systems, together with some economic applica tions and numerical methods. Our optimal control rules are in the form of feedback from known state variables of the preceding period. When state variables are not observable or are accessible only with observation errors, we must obtain appropriate proxies for these variables, which are called "observers" in deterministic cases or "filters" in stochastic circumstances. In Chapters 3 and 4, respectively, Luenberger observers and Kalman filters are discussed, developed, and applied in various directions. Noticing that a separation principle lies between observer (or filter) and controller (cf.
| Author | : Yasuo Murata |
| Publisher | : |
| Total Pages | : 224 |
| Release | : 1982 |
| Genre | : Control theory |
| ISBN | : |
Download Optimal Control Methods for Linear Discrete-time Economic Systems Book in PDF, ePub and Kindle
| Author | : Jati Sengupta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 265 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1461562856 |
Download Control Theory Methods in Economics Book in PDF, ePub and Kindle
Control theory methods in economics have historically developed over three phases. The first involved basically the feedback control rules in a deterministic framework which were applied in macrodynamic models for analyzing stabilization policies. The second phase raised the issues of various types of inconsistencies in deterministic optimal control models due to changing information and other aspects of stochasticity. Rational expectations models have been extensively used in this plan to resolve some of the inconsistency problems. The third phase has recently focused on the various aspects of adaptive control. where stochasticity and information adaptivity are introduced in diverse ways e.g .• risk adjustment and risk sensitivity of optimal control, recursive updating rules via Kalman filtering and weighted recursive least squares and variable structure control methods in nonlinear framework. Problems of efficient econometric estimation of optimal control models have now acquired significant importance. This monograph provides an integrated view of control theory methods, synthesizing the three phases from feedback control to stochastic control and from stochastic control to adaptive control. Aspects of econometric estimation are strongly emphasized here, since these are very important in empirical applications in economics.
| Author | : Charles K. Chui |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 162 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 3642613128 |
Download Linear Systems and Optimal Control Book in PDF, ePub and Kindle
A knowledge of linear systems provides a firm foundation for the study of optimal control theory and many areas of system theory and signal processing. State-space techniques developed since the early sixties have been proved to be very effective. The main objective of this book is to present a brief and somewhat complete investigation on the theory of linear systems, with emphasis on these techniques, in both continuous-time and discrete-time settings, and to demonstrate an application to the study of elementary (linear and nonlinear) optimal control theory. An essential feature of the state-space approach is that both time-varying and time-invariant systems are treated systematically. When time-varying systems are considered, another important subject that depends very much on the state-space formulation is perhaps real-time filtering, prediction, and smoothing via the Kalman filter. This subject is treated in our monograph entitled "Kalman Filtering with Real-Time Applications" published in this Springer Series in Information Sciences (Volume 17). For time-invariant systems, the recent frequency domain approaches using the techniques of Adamjan, Arov, and Krein (also known as AAK), balanced realization, and oo H theory via Nevanlinna-Pick interpolation seem very promising, and this will be studied in our forthcoming monograph entitled "Mathematical Ap proach to Signal Processing and System Theory". The present elementary treatise on linear system theory should provide enough engineering and mathe of these two subjects.
| Author | : Charles K. Chui |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 209 |
| Release | : 2013-06-29 |
| Genre | : Science |
| ISBN | : 366202666X |
Download Kalman Filtering Book in PDF, ePub and Kindle
In addition to making a number of minor corrections and updat ing the references, we have expanded the section on "real-time system identification" in Chapter 10 of the first edition into two sections and combined it with Chapter 8. In its place, a very brief introduction to wavelet analysis is included in Chapter 10. Although the pyramid algorithms for wavelet decompositions and reconstructions are quite different from the Kalman filtering al gorithms, they can also be applied to time-domain filtering, and it is hoped that splines and wavelets can be incorporated with Kalman filtering in the near future. College Station and Houston Charles K. Chui September 1990 Guanrong Chen Preface to the First Edition Kalman filtering is an optimal state estimation process applied to a dynamic system that involves random perturbations. More precisely, the Kalman filter gives a linear, unbiased, and min imum error variance recursive algorithm to optimally estimate the unknown state of a dynamic system from noisy data taken at discrete real-time. It has been widely used in many areas of industrial and government applications such as video and laser tracking systems, satellite navigation, ballistic missile trajectory estimation, radar, and fire control. With the recent development of high-speed computers, the Kalman filter has become more use ful even for very complicated real-time applications.
| Author | : A. Halanay |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 373 |
| Release | : 2013-03-13 |
| Genre | : Business & Economics |
| ISBN | : 9401589151 |
Download Differential Equations, Discrete Systems and Control Book in PDF, ePub and Kindle
This volume presents some of the most important mathematical tools for studying economic models. It contains basic topics concerning linear differential equations and linear discrete-time systems; a sketch of the general theory of nonlinear systems and the stability of equilibria; an introduction to numerical methods for differential equations, and some applications to the solution of nonlinear equations and static optimization. The second part of the book discusses stabilization problems, including optimal stabilization, linear-quadratic optimization and other problems of dynamic optimization, including a proof of the Maximum Principle for general optimal control problems. All these mathematical subjects are illustrated with detailed discussions of economic models. Audience: This text is recommended as auxiliary material for undergraduate and graduate level MBA students, while at the same time it can also be used as a reference by specialists.
| Author | : M. Despontin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 298 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642465048 |
Download Macro-Economic Planning with Conflicting Goals Book in PDF, ePub and Kindle
| Author | : Giancarlo Gandolfo |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 182 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642954596 |
Download A Disequilibrium Model of Real and Financial Accumulation in an Open Economy Book in PDF, ePub and Kindle
This is the fourth version of a model that five years ago we set out to build and estimate along the lines of the continuous time approach clarified In chapter 1. Previous versions appeared in journal articles and conference proceedings, where the space is notoriously limited. Therefore we welcome the possibility of publishing a book-length treatment of this fourth version, so that we can describe its theoretical and empirical aspects in some detail. Although we have worked closely together and accept joint responsibility for the whole book, chs. 1 and 2 and appendix I have been written by G. Gandolfo, whilst chs. ] and 4 and appendix II have been written by P.c. Padoan. Different parts of this version of the model have been discussed In various lectures at the European University Institute (Florence) in 1984, In a seminar organized by the Bank of Italy (Sadiba, Perugia, Italy, February 16-18, 1984), in the second Viennese Workshop on Economic Applications of Control Theory (Vienna, May 16-18, 1984), and in the sixth annual Conference of the Society for Economic Dynamics and Control (Nice, France, June 13-15, 1984). In all of these we received helpful comments; similarly helpful were the comments of Clifford R .. Wymer, who, however, is absolved of any responsibility.
| Author | : G.F. Newell |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 142 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 364245576X |
Download The M/M/∞Service System with Ranked Servers in Heavy Traffic Book in PDF, ePub and Kindle
We are concerned here with a service facility consisting of a large (- finite) number of servers in parallel. The service times for all servers are identical, but there is a preferential ordering of the servers. Each newly arriving customer enters the lowest ranked available server and remains there until his service is completed. It is assumed that customers arrive according to a Poisson process of rate A , that all servers have exponentially distributed service times with rate ~ and that a = A/~ is large compared with 1. Generally, we are concerned with the stochastic properties of the random function N(s ,t) describing the number of busy servers among the first s ordered servers at time t. Most of the analysis is motivated by special applications of this model to telephone traffic. If one has a brunk line with s primary channels, but a large number (00) of secondary (overflow) channels, each newly arriving customer is assigned to one of the primary channels if any are free; otherwise, he is assigned to a secondary channel. The primary and secondary channels themselves could have a preferential ordering. For some purposes, it is convenient to imagine that they did even if an ordering is irrelevant.
| Author | : M. Grauer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 277 |
| Release | : 2013-03-14 |
| Genre | : Business & Economics |
| ISBN | : 3662001845 |
Download Interactive Decision Analysis Book in PDF, ePub and Kindle
During the week of September 20-23, 1983, an International Workshop on Interactive Decision Analysis and Interpretative Computer Intelligence was held at the International Institute for Applied Systems Analysis (IIASA) in Laxenburg, Austria. More than fifty scientists representing seventeen coun tries participated. The aim of the Workshop was to review existing approaches to problems involving multiple conflicting objectives, to look at methods and techniques for interactive decision analysis, and to demonstrate theuse of existing interactive decision-support systems. The Workshop was motivated, firstly, by the realization that the rapid development of computers, especially microcomputers, will greatly increase the scope and capabilities of computerized decision-support systems. It is important to explore the potential of these systems for use in handling the complex technological, environmental, economic and social problems thatface the world today. Research in decision-support systems also has another, less tangible but possibly more important, motivation. The development of efficient sys tems for decision support requires a thorough understanding of the dif ferences between the decision-making processes in different nations and cultures. An understanding of the different rationales underlying decision making is not only necessary for the development of efficient decision support systems, but is also an important factor in encouraging inter national understanding and cooperation.
