rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Nonlinear Observers and Applications
  name:
    name part: Besançon, Gildas.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 224 p. online resource.
  abstract: The problem of state reconstruction in dynamical systems, known as observer problem, is undoubtedly crucial for controlling or just monitoring processes. For linear systems, the corresponding theory has been quite well established for several years now, and the purpose of the present book is to propose an overview on possible tools in that respect for nonlinear systems. Basic observability notions and observer structures are first recalled, together with ingredients for advanced designs on this basis. A special attention is then paid to the well-known high gain techniques with a summary of various corresponding recent results. A focus on the celebrated Extended Kalman filter is also given, in the perspectives of both nonlinear filtering and high gain observers, leading to so-called adaptive-gain observers. The more specific immersion approach for observer design is then emphasized, while optimization-based methods are also presented as an alternative to analytic observers. Various practical application examples are included in those discussions, and some fields of application are further considered: first the problem of nonlinear output regulation is reformulated in a perspective of observers, and then the problem of parameter or fault estimation is briefly mentioned through some adaptive observer tools.
  table of contents: An Overview on Observer Tools for Nonlinear Systems -- Uniform Observability and Observer Synthesis -- Adaptive-Gain Observers and Applications -- Immersion-Based Observer Design -- Nonlinear Moving Horizon Observers: Theory and Real-Time Implementation -- Asymptotic Analysis and Observer Design in the Theory of Nonlinear Output Regulation -- Parameter/Fault Estimation in Nonlinear Systems and Adaptive Observers.
  note: by Gildas Besançon.
  subject:
    topic: Engineering
  subject:
    topic: System theory
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Engineering
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  classification: TJ210.2-211.495
  classification: TJ163.12
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Control and Information Sciences, 363
  identifier: 9783540735038
  identifier: http://dx.doi.org/10.1007/978-3-540-73503-8
  record info:
    record creation date: 100301
    record change date: 20151204161850.0
    record identifier: 978-3-540-73503-8