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| Author | : Andrew P. Sage |
| Publisher | : |
| Total Pages | : 529 |
| Release | : 1974 |
| Genre | : |
| ISBN | : |
| Author | : Andrew P. Sage |
| Publisher | : |
| Total Pages | : 529 |
| Release | : 1971 |
| Genre | : Control theory |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : |
| Genre | : Control theory |
| ISBN | : |
| Author | : Andrew P. Sage |
| Publisher | : |
| Total Pages | : 552 |
| Release | : 1979 |
| Genre | : Control theory |
| ISBN | : |
| Author | : Jerry M. Mendel |
| Publisher | : Pearson Education |
| Total Pages | : 891 |
| Release | : 1995-03-14 |
| Genre | : Technology & Engineering |
| ISBN | : 0132440792 |
Estimation theory is a product of need and technology. As a result, it is an integral part of many branches of science and engineering. To help readers differentiate among the rich collection of estimation methods and algorithms, this book describes in detail many of the important estimation methods and shows how they are interrelated. Written as a collection of lessons, this book introduces readers o the general field of estimation theory and includes abundant supplementary material.
| Author | : |
| Publisher | : |
| Total Pages | : 37 |
| Release | : 1971 |
| Genre | : Control theory |
| ISBN | : |
| Author | : Jerry M. Mendel |
| Publisher | : |
| Total Pages | : 561 |
| Release | : 1995 |
| Genre | : Electronic books |
| ISBN | : 9780132442206 |
| Author | : Graham Goodwin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 415 |
| Release | : 2006-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 184628063X |
Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control. - Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control. - New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.
| Author | : H. Vincent Poor |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 558 |
| Release | : 2013-06-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1475738633 |
The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.
| Author | : Kung Yao |
| Publisher | : Cambridge University Press |
| Total Pages | : 335 |
| Release | : 2013-01-17 |
| Genre | : Technology & Engineering |
| ISBN | : 1139619063 |
Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers.
