Nonparametric identification of nonlinear dynamic systems

• Tác giả: Gábor Kenderi
• Ngôn ngữ: eng
• ISBN-13: 978-3731508342
• ISBN: KSP/1000085419
• Ký hiệu phân loại: 519.5 Statistical mathematics
• Thông tin xuất bản: Karlsruhe : KIT Scientific Publishing, 2018
• Mô tả vật lý: 1 electronic resource (XXVIII, 194 p. p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 202791

Tóm tắt

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.