eprintid: 2457
rev_number: 6
eprint_status: archive
userid: 6
dir: disk0/00/00/24/57
datestamp: 2015-01-12 11:47:05
lastmod: 2015-01-12 11:47:05
status_changed: 2015-01-12 11:47:05
type: book_section
metadata_visibility: show
creators_name: Cerone, Vito
creators_name: Piga, Dario
creators_name: Regruto, Diego
creators_id: 
creators_id: dario.piga@imtlucca.it
creators_id: 
title: Bounded error identification of Hammerstein Systems with backlash
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
abstract: Actuators and sensors commonly used in control systems may exhibit a variety of nonlinear behaviours that may be responsible for undesirable phenomena such as delays and oscillations, which may severely limit both the static and the dynamic performance of the system under control (see, e.g., [22]). In particular, one of the most relevant nonlinearities affecting the performance of industrial machines is the backlash (see Figure 22.1), which commonly occurs in mechanical, hydraulic and magnetic components like bearings, gears and impact dampers (see, e.g., [17]). This nonlinearity, which can be classified as dynamic (i.e., with memory) and hard (i.e. non-differentiable), may arise from unavoidable manufacturing tolerances or sometimes may be deliberately incorporated into the system in order to describe lubrication and thermal expansion effects [3]. The interested reader is referred to [22] for real-life examples of systems with either input or output backlash nonlinearities.
date: 2010
series: Lecture Notes in Control and Information Sciences
number: 404
publisher: Springer 
pagerange: 367-382
id_number: 10.1007/978-1-84996-513-2_22
refereed: TRUE
isbn: 978-1-84996-513-2
book_title: Block-oriented Nonlinear System Identification
official_url: http://dx.doi.org/10.1007/978-1-84996-513-2_22
citation:   Cerone, Vito and Piga, Dario and Regruto, Diego  Bounded error identification of Hammerstein Systems with backlash.   In:  Block-oriented Nonlinear System Identification.   Lecture Notes in Control and Information Sciences  (404).  Springer , pp. 367-382.  ISBN 978-1-84996-513-2      (2010)