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: H∞-Control and Estimation of State-multiplicative Linear Systems
  name:
    name part: Gershon, Eli.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Shaked, Uri.
    role:
      role term: author.
  name:
    name part: Yaesh, Isaac.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 249 p. 24 illus. online resource.
  abstract: Multiplicative noise appears in systems where the process or measurement noise levels depend on the system state vector. Such systems are relevant, for example, in radar measurements where larger ranges involve higher noise level. This monograph embodies a comprehensive survey of the relevant literature with basic problems being formulated and solved by applying various techniques including game theory, linear matrix inequalities and Lyapunov parameter-dependent functions. Topics covered include: convex H2 and H-infinity norms analysis of systems with multiplicative noise; state feedback control and state estimation of systems with multiplicative noise; dynamic and static output feedback of stochastic bilinear systems; tracking controllers for stochastic bilinear systems utilizing preview information. Various examples which demonstrate the applicability of the theory to practical control engineering problems are considered; two such examples are taken from the aerospace and guidance control areas.
  table of contents: Part I: Introduction and Literature Survey: Introduction -- Part II: Continuous-time Systems: Control and Luenberger-type Filtering; General Filtering; Tracking Control; Static Output-feedback; Stochastic Passivity -- Part III: Discrete-time Systems: Control and Luenberger-type Filtering; General Filtering; Tracking Control; Static Output-feedback -- Part IV: Applications: Systems with State-multiplicative Noise: Applications -- Appendix A Introduction to Stochastic Differential Equations -- Appendix B The Continuous DLMI Method -- Appendix C The Discrete DLMI Method.
  note: by Eli Gershon, Uri Shaked, Isaac Yaesh.
  subject:
    topic: Engineering
  subject:
    topic: System theory
  subject:
    topic: Automotive engineering
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Electrical engineering
  subject:
    topic: Electronics
  subject:
    topic: Microelectronics
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Electronics and Microelectronics, Instrumentation
  subject:
    topic: Electrical Engineering
  subject:
    topic: Automotive Engineering
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Control and Information Science, 318
  identifier: 9781846283376
  identifier: http://dx.doi.org/10.1007/b103068
  record info:
    record creation date: 100806
    record change date: 20151204170421.0
    record identifier: 978-1-84628-337-6