滿額折
Hybrid System Identification ― Theory and Algorithms for Learning Switching Models
商品資訊
定價
：NT$ 7650 元若需訂購本書，請電洽客服 02-25006600[分機130、131]。
相關商品
商品簡介
作者簡介
商品簡介
?Hybrid System Identification helps readers to build mathematical models of dynamical systems switching between different operating modes, from their experimental observations. It provides an overview of the interaction between system identification, machine learning and pattern recognition fields in explaining and analysing hybrid system identification. It emphasises the optimization and computational complexity issues that lie at the core of the problems considered and sets them aside from standard system identification problems. The book presents practical methods that leverage this complexity, as well as a broad view of state-of-the-art machine learning methods.
The authors illustrate the key technical points using examples and figures to help the reader understand the material. The book includes an in-depth discussion and computational analysis of hybrid system identification problems, moving from the basic questions of the definition of hybrid systems and system identification to methods of hybrid system identification and the estimation of switched linear/affine and piecewise affine models. The authors also give an overview of the various applications of hybrid systems, discuss the connections to other fields, and describe more advanced material on recursive, state-space and nonlinear hybrid system identification.
The authors illustrate the key technical points using examples and figures to help the reader understand the material. The book includes an in-depth discussion and computational analysis of hybrid system identification problems, moving from the basic questions of the definition of hybrid systems and system identification to methods of hybrid system identification and the estimation of switched linear/affine and piecewise affine models. The authors also give an overview of the various applications of hybrid systems, discuss the connections to other fields, and describe more advanced material on recursive, state-space and nonlinear hybrid system identification.
Hybrid System Identification includes a detailed exposition of major methods, which allows researchers and practitioners to acquaint themselves rapidly with state-of-the-art tools. The book is also a sound basis for graduate and undergraduate students studying this area of control, as the presentation and form of the book provides the background and coverage necessary for a full understanding of hybrid system identification, whether the reader is initially familiar with system identification related to hybrid systems or not.
作者簡介
Fabien Lauer obtained his Ph.D. in Control Engineering from the University Henri Poincare Nancy 1, France, in 2008. He was then a post-doctoral fellow at the Heidelberg Collaboratory for Image Processing, Germany, and is now an Associate Professor of Computer Science at the Universite de Lorraine, France, since 2009. He published 18 peer-reviewed journal papers, 2 book chapters and 17 conference papers on hybrid system identification and machine learning.
Gerard Bloch has been Associate Professor at the University Henri Poincare Nancy 1, France, then Full Professor, at the Universite de Lorraine, France, from 1991 until 2017, where he took several pedagogical or administrative positions. He coauthored one book and one book chapter, published 35 peer-reviewed journal papers, and 65 conference papers on system identification, machine learning and intelligent control applications.
您曾經瀏覽過的商品
購物須知
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。