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: Cooperative Control of Dynamical Systems
    sub title: Applications to Autonomous Vehicles
  name:
    name part: Qu, Zhihua.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 325 p. online resource.
  abstract: Whether providing automated passenger transport systems, exploring the hostile depths of the ocean or assisting soldiers in battle, autonomous vehicle systems are becoming an important fact of modern life. Distributed sensing and communication networks allow neighboring vehicles to share information autonomously, to interact with an operator, and to coordinate their motion to exhibit certain cooperative behaviors. The less structured the operating environment and the more changes the vehicle network experiences, the more difficult to grapple with problems of control become. Cooperative Control of Dynamical Systems begins with a concise overview of cooperative behaviors and the modeling of constrained non-linear dynamical systems like ground, aerial, and underwater vehicles. A review of useful concepts from system theory is included. New results on cooperative control of linear and non-linear systems and on control of individual non-holonomic systems are presented. Control design in autonomous-vehicle applications moves evenly from open-loop steering control and feedback stabilization of an individual vehicle to cooperative control of multiple vehicles. This progression culminates in a decentralized control hierarchy requiring only local feedback information. A number of novel methods are presented: parameterisation for collision avoidance and real-time optimisation in path planning; near optimal tracking and regulation control of non-holonomic chained systems; the matrix-theoretical approach to cooperative stability analysis of linear networked systems; the comparative argument of Lyapunov function components for analysing non-linear cooperative systems; and cooperative control designs. These methods are used to generate solutions of guaranteed performance for the fundamental problems of: • optimised collision-free path planning; • near-optimal stabilization of non-holonomic systems; and • cooperative control of heterogenous dynamical systems, including non-holonomi…
  table of contents: Preliminaries on Systems Theory -- Control of Non-holonomic Systems -- Matrix Theory for Cooperative Systems -- Cooperative Control of Linear Systems -- Cooperative Control of Non-linear Systems.
  note: by Zhihua Qu.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Engineering
  subject:
    topic: Robotics and Automation
  subject:
    topic: Control
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TJ210.2-211.495
  classification: T59.5
  classification: 629.892
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781848823259
  identifier: http://dx.doi.org/10.1007/978-1-84882-325-9
  record info:
    record creation date: 100301
    record change date: 20151204184243.0
    record identifier: 978-1-84882-325-9