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Author: Bernard Friedland Publisher: Courier Corporation ISBN: 048613511X Category : Science Languages : en Pages : 530
Book Description
Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.
Author: Bernard Friedland Publisher: Courier Corporation ISBN: 048613511X Category : Science Languages : en Pages : 530
Book Description
Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.
Author: Robert L. Williams, II Publisher: John Wiley & Sons ISBN: 0471735558 Category : Technology & Engineering Languages : en Pages : 485
Book Description
The book blends readability and accessibility common to undergraduate control systems texts with the mathematical rigor necessary to form a solid theoretical foundation. Appendices cover linear algebra and provide a Matlab overivew and files. The reviewers pointed out that this is an ambitious project but one that will pay off because of the lack of good up-to-date textbooks in the area.
Author: Neil Brenner Publisher: John Wiley & Sons ISBN: 0470754710 Category : Social Science Languages : en Pages : 368
Book Description
This groundbreaking, interdisciplinary volume brings together diverse analyses of state space in historical and contemporary capitalism. The first volume to present an accessible yet challenging overview of the changing geographies of state power under capitalism. A unique, interdisciplinary collection of contributions by major theorists and analysts of state spatial restructuring in the current era. Investigates some of the new political spaces that are emerging under contemporary conditions of ‘globalization'. Explores state restructuring on multiple spatial scales, and from a range of theoretical, methodological and empirical perspectives. Covers a range of topical issues in contemporary geographical political economy. Contains case study material on Western Europe, North America and East Asia, as well as parts of Africa and South America.
Author: Tom Hollenstein Publisher: Springer Science & Business Media ISBN: 1461450071 Category : Psychology Languages : en Pages : 135
Book Description
Human development from birth through adulthood is a complex interplay of many interacting forces. Children’s internal processes are manifest in behaviors that are sculpted by their experiences, most notably with primary caregivers. Because the discipline of psychology explores human behavior and cognition, the techniques employed for developmental analysis must be able to describe, depict, and quantify these complex processes. State Space Grids provides the framework, basic method, rationale, and advanced techniques for translating the behavior of children, adolescents, and parents into visible, traceable data. This seminar-between-covers takes readers step by step from conceptualization through implementation of projects, with examples from a range of current research within and outside child development. Links are included for the GridWare software program and related user resources. And although state space grids need not be used only to analyze dynamic systems, they serve as an excellent tool for honing systemic thinking. Key coverage in this volume includes: Dynamic systems and the origins of state space grids. The state of research using state space grids. Introducing GridWare and how it works. How to use state space grids, from idea through finished project. Within-grid and between-grid analysis. Conducting advanced analysis. State Space Grids is an essential reference for researchers across such disciplines as psychology, neuroscience, economics, computer science, and agricultural science.
Author: John S. Bay Publisher: McGraw-Hill Science, Engineering & Mathematics ISBN: Category : Mathematics Languages : en Pages : 600
Book Description
Spans a broad range of linear system theory concepts, but does so in a complete and sequential style. It is suitable for a first-year graduate or advanced undergraduate course in any field of engineering. State space methods are derived from first principles while drawing on the students' previous understanding of physical and mathematical concepts. The text requires only a knowledge of basic signals and systems theory, but takes the student, in a single semester, all the way through state feedback, observers, Kalman filters, and elementary I.Q.G. control.
Author: Junichiro Hagiwara Publisher: Springer Nature ISBN: 9811607117 Category : Mathematics Languages : en Pages : 350
Book Description
This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields. The major feature of the book lies in its consistent Bayesian treatment regarding whole combinations of batch and sequential solutions for linear Gaussian and general state-space models: MCMC and Kalman/particle filter. The reader is given insight on flexible modeling in modern time series analysis. The main topics of the book deal with the state-space model, covering extensively, from introductory and exploratory methods to the latest advanced topics such as real-time structural change detection. Additionally, a practical exercise using R/Stan based on real data promotes understanding and enhances the reader’s analytical capability.
Author: Henri Lefebvre Publisher: U of Minnesota Press ISBN: 081665316X Category : Political Science Languages : en Pages : 343
Book Description
Making the political aspect of Lefebvre's work available in English for the first time, this book contains essays on philosophy, political theory, state formation, spatial planning, and globalization, as well as provocative reflections on the possibilities and limits of grassroots democracy under advanced capitalism.
Author: James Durbin Publisher: OUP Oxford ISBN: 0191627194 Category : Business & Economics Languages : en Pages : 369
Book Description
This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series. Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations. Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.
Author: Kostas Triantafyllopoulos Publisher: Springer Nature ISBN: 303076124X Category : Mathematics Languages : en Pages : 503
Book Description
Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The celebrated Kalman filter, with its numerous extensions, takes centre stage in the book. Univariate and multivariate models, linear Gaussian, non-linear and non-Gaussian models are discussed with applications to signal processing, environmetrics, economics and systems engineering. Over the past years there has been a growing literature on Bayesian inference of state space models, focusing on multivariate models as well as on non-linear and non-Gaussian models. The availability of time series data in many fields of science and industry on the one hand, and the development of low-cost computational capabilities on the other, have resulted in a wealth of statistical methods aimed at parameter estimation and forecasting. This book brings together many of these methods, presenting an accessible and comprehensive introduction to state space models. A number of data sets from different disciplines are used to illustrate the methods and show how they are applied in practice. The R package BTSA, created for the book, includes many of the algorithms and examples presented. The book is essentially self-contained and includes a chapter summarising the prerequisites in undergraduate linear algebra, probability and statistics. An up-to-date and complete account of state space methods, illustrated by real-life data sets and R code, this textbook will appeal to a wide range of students and scientists, notably in the disciplines of statistics, systems engineering, signal processing, data science, finance and econometrics. With numerous exercises in each chapter, and prerequisite knowledge conveniently recalled, it is suitable for upper undergraduate and graduate courses.
Author: Bernard Friedland
Author: Bernard Friedland
Author: Robert L. Williams, II
Author: Neil Brenner
Author: Tom Hollenstein
Author: John S. Bay
Author: Junichiro Hagiwara
Author: E. Walter
Author: Henri Lefebvre
Author: James Durbin
Author: Kostas Triantafyllopoulos