{"product_id":"nonlinear-system-analysis-and-identification-from-random-data-9780471606239","title":"Nonlinear System Analysis and Identification from Random Data","description":"\u003cp\u003eDescribes procedures to identify and analyze the properties of many types of nonlinear systems from random data measured at the input and output points of physical systems. Improvements are offered in applying older techniques  and problems that traditionally have been difficult to analyze are solved by new  simpler procedures. Formulas are stated for optimum nonlinear system identification in both general models consisting of parallel  linear bilinear and trilinear systems  and special models consisting of parallel linear  finite-memory square-law systems and finite-memory cubic systems. New results  obtained here  show when and how to replace complicated single input\/output nonlinear models with simpler alternative multiple input\/single output linear models. New error analysis formulas are presented to design experiments and to evaluate estimates obtained from measured data. Includes many illustrative examples.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":45651449839669,"sku":"ByrdShop_0471606235","price":286.17,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9780471606239.jpg?v=1781834787","url":"https:\/\/atxbooks.com\/products\/nonlinear-system-analysis-and-identification-from-random-data-9780471606239","provider":"ATX Books","version":"1.0","type":"link"}