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: Non-monotonic approach to Robust H∞ control of multi-model systems
  name:
    name part: Wen, Jiwei
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Nasiri, Alireza
    name part: (Professor of electrical and computer engineering)
    role:
      role term: author.
  name:
    name part: Nguang, Sing Kiong
    role:
      role term: author.
  name:
    name part: Almakhles, Dhafer J.
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2019
    copyright date: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Non-monotonic Approach to Robust H? Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model systems based on the non-monotonic Lyapunov Functionals (LFs) approach that enlarges the stability region and improves control performance. By fully considering the diversity of switching laws, the multi-step time difference, the multi-step prediction, and the expansion of system dimension, the non-monotonic LF can be properly constructed. The focus of this book is placed on the H? state feedback control, H? filtering and H? output feedback control for multi-model systems via a non-monotonic LF approach. The book's authors provide illustrative examples to show the feasibility and efficiency of the proposed methods, along with practical examples that demonstrate the effectiveness and potential of theoretical results.
  note: Jiwei Wen, Alireza Nasiri, Sing Kiong Nguang, Dhafer J. Almakhles.
  note: Includes bibliographical references and index.
  subject:
    topic: Robust control
  subject:
    topic: Robots
    topic: Control systems
  subject:
    topic: Feedback control systems
    topic: Mathematical models
  subject:
    topic: Adaptive control systems
    topic: Mathematical models
  subject:
    topic: Commande robuste
  subject:
    topic: Robots
    topic: Systèmes de commande
  subject:
    topic: Systèmes à réaction
    topic: Modèles mathématiques
  subject:
    topic: Systèmes adaptatifs
    topic: Modèles mathématiques
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Engineering (General)
  subject:
    topic: Adaptive control systems
    topic: Mathematical models
  subject:
    topic: Feedback control systems
    topic: Mathematical models
  subject:
    topic: Robots
    topic: Control systems
  subject:
    topic: Robust control
  classification: TJ217.2
  classification: 629.8312
  related item:
    title info:
      title: Emerging methodologies and applications in modelling, identification and control
  identifier: 9780128148693
  identifier: 0128148691
  identifier: 9780128148686
  identifier: 9780128148693 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 190610
    record change date: 20260327162830.4
    record identifier: in00005764887
    language of cataloging:
      language term: eng