HomeView Cart
Dover HomeStore DirectoryCustomer Service
An Introduction to Identification
Save with Free Shipping on orders of $50 or more.Creative Haven - Coloring Books for Adults
New ReleasesFREE SAMPLESMY ACCOUNTDover's Safe Shopping GuaranteeSave with Free Shipping on orders of $50 or moreFACEBOOKPINTERESTe-signup

Browse More: By Subject > Science and Mathematics > Engineering > Electrical Engineering
<p class="pzoomtext">See larger image</p>



An Introduction to Identification
Our Price:$16.95
Availability:In Stock
Environment:Made in USA
Author/Editor: J. P. Norton
ISBN 10:0486469352
Product Info:Details
Advanced undergraduates and graduate students of electrical, chemical, mechanical, and environmental engineering will appreciate this text for a course in systems identification. In addition to the theoretical basis for mathematical modeling, it covers a variety of identification algorithms and their...  read more
 


Add this to your cart
(you can always remove it later).

Shopping here is Guaranteed Safe!




Customers who bought this book also bought:



Concepts of Mathematical ModelingConcepts of Mathematical Modeling 
by Walter J. Meyer
This text features examinations of classic models and a variety of applications. Each section is preceded by an abstract and statement of prerequisites. Includes exercises. 1984 edition.

An Introduction to Mathematical ModelingAn Introduction to Mathematical Modeling 
by Edward A. Bender
Accessible text features over 100 reality-based examples pulled from the science, engineering and operations research fields. Prerequisites: ordinary differential equations, continuous probability. Numerous references. Includes 27 black-and-white figures. 1978 edition.

Mathematical Modelling TechniquesMathematical Modelling Techniques 
by Rutherford Aris
"Engaging." — Applied Mathematical Modelling. A theoretical chemist and engineer discusses the types of models — finite, statistical, stochastic, and more — as well as how to formulate and manipulate them for best results.
Stochastic Modeling: Analysis and SimulationStochastic Modeling: Analysis and Simulation 
by Barry L. Nelson
Coherent introduction to techniques also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Includes formulation of models, analysis, and interpretation of results. 1995 edition.
The Art of Modeling Dynamic Systems: Forecasting for Chaos, Randomness and DeterminismThe Art of Modeling Dynamic Systems: Forecasting for Chaos, Randomness and Determinism 
by Foster Morrison
Demonstration of the roles of statistical methods, coordinate transformations, and mathematical analysis in mapping dynamical systems. Practical examples, rather than theorems and proofs, characterize modeling tools. 1991 edition.
Applied Partial Differential EquationsApplied Partial Differential Equations 
by Paul DuChateau, David Zachmann
Book focuses mainly on boundary-value and initial-boundary-value problems on spatially bounded and on unbounded domains; integral transforms; uniqueness and continuous dependence on data, first-order equations, and more. Numerous exercises included.

Mathematical Methods for Physicists and Engineers: Second Corrected EditionMathematical Methods for Physicists and Engineers: Second Corrected Edition 
by Royal Eugene Collins
Practical text focuses on fundamental applied math needed to deal with physics and engineering problems: elementary vector calculus, special functions of mathematical physics, calculus of variations, much more. 1968 edition.
Applied Probability Models with Optimization ApplicationsApplied Probability Models with Optimization Applications 
by Sheldon M. Ross
Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.

Analytical Methods of OptimizationAnalytical Methods of Optimization 
by D. F. Lawden
Suitable for advanced undergraduates and graduate students, this text surveys the classical theory of the calculus of variations. Topics include static systems, control systems, additional constraints, the Hamilton-Jacobi equation, and the accessory optimization problem. 1975 edition.

Combinatorial Optimization: Algorithms and ComplexityCombinatorial Optimization: Algorithms and Complexity 
by Christos H. Papadimitriou, Kenneth Steiglitz
This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; local search heuristics for NP-complete problems, more. 1982 edition.
Discrete Optimization Algorithms: with Pascal ProgramsDiscrete Optimization Algorithms: with Pascal Programs 
by Maciej M. Syslo, Narsingh Deo, Janusz S. Kowalik
Upper-level undergraduates and graduate students will benefit from this treatment of discrete optimization algorithms, which covers linear and integer programming and offers a collection of ready-to-use computer programs. 1983 edition.

Optimization Theory with ApplicationsOptimization Theory with Applications 
by Donald A. Pierre
Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition.

Statistical Optimization for Geometric Computation: Theory and PracticeStatistical Optimization for Geometric Computation: Theory and Practice 
by Kenichi Kanatani
This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise — a task involving autonomous robots guided by video cameras and sensors.

Variational Methods in OptimizationVariational Methods in Optimization 
by Donald R. Smith
Highly readable text elucidates applications of the chain rule of differentiation, integration by parts, parametric curves, line integrals, double integrals, and elementary differential equations. 1974 edition.

Factorization Methods for Discrete Sequential EstimationFactorization Methods for Discrete Sequential Estimation 
by Gerald J. Bierman
Geared toward advanced undergraduates and graduate students, this text describes matrix factorization methods employed by numerical analysts, featuring techniques that lead to efficient, economical, reliable, and flexible estimation algorithms. 1977 edition.

Optimal Control and EstimationOptimal Control and Estimation 
by Robert F. Stengel
Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems. "Invaluable as a reference for those already familiar with the subject." — Automatica.


Product Description:

Advanced undergraduates and graduate students of electrical, chemical, mechanical, and environmental engineering will appreciate this text for a course in systems identification. In addition to the theoretical basis for mathematical modeling, it covers a variety of identification algorithms and their applications. Numerical examples show how to apply modeling theories. 1986 edition.
Reprint of the Academic Press, London and New York, 1986 edition.

Product Details:

ISBN 10: 0486469352
ISBN 13: 9780486469355
Author/Editor: J. P. Norton
Format: Book
Page Count: 320
Dimensions: 5 3/8 x 8 1/2
Publication date: April 2009

What people are saying:

Reviews powered by PowerReviews Express



This book was printed in the United States of America.

Dover books are made to last a lifetime. Our US book-manufacturing partners produce the highest quality books in the world and they create jobs for our fellow citizens. Manufacturing in the United States also ensures that our books are printed in an environmentally friendly fashion, on paper sourced from responsibly managed forests.