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: Model-Reference Adaptive Control
    sub title: A Primer
  name:
    name part: Nguyen, Nhan T.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 444 p. 115 illus., 102 illus. in color. online resource.
  abstract: This book provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author's work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files; an electronic solutions manual for instructors …
  table of contents: Introduction -- Nonlinear Systems -- Mathematical Preliminaries -- Lyspunov Stability Theory -- Model-Reference Adaptive Control -- Least-Squares Parameter Identification -- Function Approximation and Adaptive Control with Unstructured Uncertainty -- Robustness Issues with Adaptive Control -- Robust Adaptive Control -- Adaptive Control Applications.
  note: by Nhan T. Nguyen.
  subject:
    topic: Control engineering
  subject:
    topic: Aerospace engineering
  subject:
    topic: Astronautics
  subject:
    topic: System theory
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Aerospace Technology and Astronautics
  subject:
    topic: Systems Theory, Control
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advanced Textbooks in Control and Signal Processing
  identifier: 9783319563930
  identifier: https://doi.org/10.1007/978-3-319-56393-0
  record info:
    record creation date: 180301
    record change date: 20191023221611.0
    record identifier: 978-3-319-56393-0