Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic knowledge of classical linear regression models, of which a brief review is provided to refresh the reader's knowledge. Also, a few sections assume familiarity with matrix algebra, however, these sections may be skipped without losing the flow of the exposition. The book offers a step by step approach to the analysis of the salient features in time series such as the trend, seasonal, and irregular components. Practical problems such as forecasting and missing values are treated in some detail. This useful book will appeal to practitioners and researchers who use time series on a daily basis in areas such as the social sciences, quantitative history, biology and medicine. It also serves as an accompanying textbook for a basic time series course in econometrics and statistics, typically at an advanced undergraduate level or graduate level.

The classic text, now completely up to date This Second Edition of State Variables for Engineers is completely updated to reflect both the many changes in the field of systems and control and the fact that today's first-year graduate students are well prepared in the background skills and techniques needed to handle this material. The book begins with an introduction to the basic concepts behind time domain techniques, comparisons between state variable feedback and classical output feedback, and a discussion of the concepts of observability and controllability. The authors stress the importance of studying matrices and linear spaces by offering state variable representations for continuous linear systems in matrix form along with the solution to the resulting linear matrix differential equation. This treatment demonstrates how these basic linear algebra tools are related to the state variable analysis of linear systems. This new edition retains thorough coverage of the eigenvalue-eigenvector problem from the first edition, as well as several chapters on state variables for continuous and discrete-time systems--now supplemented with additional material on observability and controllability. It also offers three entirely new chapters covering: * Canonical forms for representing linear systems * Observers and controllers * Identification and estimation Supplemented with appendices on basic matrix algebra and Z transforms, State Variables for Engineers, Second Edition is the ideal text for courses in systems analysis and techniques. It is also an excellent reference for professionals who want to keep pace with recent changes in the field.

Serves As A Text For The Treatment Of Topics In The Field Of Electric Networks Which Are Considered As Foundation In Electrical Engineering For Undergraduate Students. Includes Detailed Coverage Of Network Theorems, Topology, Analogous Systems And Fourier Transforms. Employs Laplace Transform Solution Of Differential Equations. Contains Material On Two-Port Networks, Classical Filters, Passive Synthesis. Includes State Variable Formulation Of Network Problems. Wide Coverage On Convolution Integral, Transient Response And Frequency Domain Analysis. Given Digital Computer Program For Varieties Of Problems Pertaining To Networks And Systems. Each Topic Is Covered In Depth From Basic Concepts. Given Large Number Of Solved Problems For Better Understanding The Theory. A Large Number Of Objective Type Questions And Solutions To Selected Problems Given In Appendix.