Adaptive Filtering Prediction and Control (Dover Books on Electrical Engineerin,

Description: About this productProduct IdentifiersPublisherDover Publications, IncorporatedISBN-100486469328ISBN-139780486469324eBay Product ID (ePID)66716267Product Key FeaturesNumber of Pages560 PagesLanguageEnglishPublication NameAdaptive Filtering Prediction and ControlSubjectSignals & Signal Processing, Probability & Statistics / Stochastic Processes, Mechanics / Dynamics, System TheoryPublication Year2009TypeTextbookAuthorKwai Sang Sin, Graham C. GoodwinSubject AreaMathematics, Technology & Engineering, ScienceSeriesDover Books on Electrical Engineering Ser.FormatTrade PaperbackDimensionsItem Height1.1 inItem Weight26.9 OzItem Length9.3 inItem Width6.5 inAdditional Product FeaturesIntended AudienceCollege AudienceLCCN2008-044586Dewey Edition22CLASSIFICATION_METADATA{"IsNonfiction":["Yes"],"IsOther":["No"],"IsAdult":["No"],"MuzeFormatDesc":["Trade Paperback"],"IsChildren":["No"],"Genre":["TECHNOLOGY & ENGINEERING","SCIENCE","MATHEMATICS"],"Topic":["Signals & Signal Processing","Probability & Statistics / Stochastic Processes","Mechanics / Dynamics","System Theory"],"IsTextBook":["Yes"],"IsFiction":["No"]}IllustratedYesDewey Decimal003.83Table Of ContentPreface1. Introduction to Adaptive TechniquesPart 1. Deterministic Systems2. Models for Deterministic Dynamical Systems3. Parameter Estimation for Deterministic Systems4. Deterministic Adaptive Prediction5. Control of Linear Deterministic Systems6. Adaptive Control of Linear Deterministic SystemsPart 2. Stochastic Systems7. Optimal Filtering and Prediction8. Parameter Estimation for Stochastic Dynamic Systems9. Adaptive Filtering and Prediction10. Control of Stochastic Systems11. Adaptive Control of Stochastic SystemsAppendicesA. A Brief Review of Some Results from Systems TheoryB. A Summary of Some Stability ResultsC. Passive Systems TheoryD. Probability Theory and Stochastic ProcessesE. Matrix Riccati EquationsReferencesIndexSynopsisThis unified survey focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems. In keeping with the importance of computers to practical applications, the authors emphasize discrete-time systems. Their approach summarizes the theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition., This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizing theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition., This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems. In keeping with the importance of computers to practical applications, the authors emphasize discrete-time systems. Their approach summarizes the theoretical and practical aspects of a large class of adaptive algorithms. Ideal for advanced undergraduate and graduate classes, this treatment consists of two parts. The first section concerns deterministic systems, covering models, parameter estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter estimation, adaptive filtering and prediction, and adaptive control. Extensive appendices offer a summary of relevant background material, making this volume largely self-contained. Readers will find that these theories, formulas, and applications are related to a variety of fields, including biotechnology, aerospace engineering, computer sciences, and electrical engineering.LC Classification NumberQA402.G658 2009Copyright Date1984ebay_catalog_id4

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