{ "item_title" : "An Introduction to Identification", "item_author" : [" J. P. Norton", "Engineering "], "item_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 tried-and-true identification algorithms and their applications. Moreover, its broad view and fairly modest mathematical level offer readers a quick appraisal of established methods and their limitations. In addition to surveys covering classical methods of identification including impulse, step, and sine-wave testing and identification based on correlation function, the text examines least-squares model fitting, statistical properties of estimators, optimal estimation, and Bayes and maximum-likelihood estimators. Other topics include experiment design and choice of model structure as well as model validation. Numerical examples show students how to apply the modeling theories, and a chapter on specialized topics introduces research areas.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/48/646/935/0486469352_b.jpg", "price_data" : { "retail_price" : "16.95", "online_price" : "16.95", "our_price" : "16.95", "club_price" : "16.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details