{"product_id":"nonparametric-identification-of-nonlinear-dynamic-systems","title":"Nonparametric identification of nonlinear dynamic systems","description":"A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783731508342\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783731508342","offer_id":39441824874589,"sku":"9783731508342","price":47.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/749bd8c0-8b1f-4c37-b4bf-36f079dbba20.jpg?v=1780378309","url":"https:\/\/shop.autorenwelt.de\/en\/products\/nonparametric-identification-of-nonlinear-dynamic-systems","provider":"Autorenwelt Shop","version":"1.0","type":"link"}