{"product_id":"system-identification-theory-for-the-user-9780136566953","title":"System Identification: Theory for the User","description":"\u003cp\u003e • Author(s): Lennart Ljung\u003cbr\u003e • Publisher: Pearson\u003cbr\u003e • Publisher Imprint: Pearson\u003cbr\u003e • BISAC: Electricity\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003eThis is a complete, coherent description of the theory, methodology and practice of System Identification. The completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and these key non-linear black box methods: neural networks, wavelet transforms, neuro-fuzzy modeling and hinging hyperplanes.\u003cb\u003eKEY TOPICS: \u003c\/b\u003eLeader in the field Lennart Ljung introduces systems and models, time-invariant linear systems, time-varying and nonlinear systems. He presents several approaches to system identification, including nonparametric time- and frequency-domain methods; parameter estimation; convergence and consistency; asymptotic distribution of parameter estimates; linear regressions, iterative search and recursive estimation. He also presents detailed coverage of key issues that can make or break system identification projects: defining objectives, designing experiments, selecting criteria, and controlling the bias distribution of transfer-function estimates.\u003cb\u003eMARKET: \u003c\/b\u003eFor all engineering and control systems professionals, faculty and students. \u003c\/p\u003e","brand":"Pearson","offers":[{"title":"Hardcover","offer_id":46897039999127,"sku":"9780136566953","price":25223.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780136566953.webp?v=1770360875","url":"https:\/\/atlanticbooks.com\/products\/system-identification-theory-for-the-user-9780136566953","provider":"Atlantic Books","version":"1.0","type":"link"}