{"product_id":"9780132440530","title":"System Identification: Theory for the User","description":"\u003cp\u003e The field's leading text, now completely updated.  \u003c\/p\u003e \u003cp\u003e Modeling dynamical systems — theory, methodology, and applications.  \u003c\/p\u003e \u003cp\u003e Lennart Ljung's \u003ci\u003eSystem Identification: Theory for the User\u003c\/i\u003e is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB.  \u003c\/p\u003e \u003cp\u003e Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques:  \u003c\/p\u003e \u003cul\u003e \u003cli\u003e Nonparametric time-domain and frequency-domain methods.  \u003c\/li\u003e \u003cli\u003e Parameter estimation methods in a general prediction error setting.  \u003c\/li\u003e \u003cli\u003e Frequency domain data and frequency domain interpretations.  \u003c\/li\u003e \u003cli\u003e Asymptotic analysis of parameter estimates.  \u003c\/li\u003e \u003cli\u003e Linear regressions, iterative search methods, and other ways to compute estimates.  \u003c\/li\u003e \u003cli\u003e Recursive (adaptive) estimation techniques.  \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models.\u003c\/p\u003e \u003cp\u003e The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.\u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":47080135721200,"sku":"9780132440530","price":127.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780132440530_p0.jpg?v=1763640257","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780132440530","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}