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: Robustness in Identification and Control
  name:
    name part: Garulli, Andrea.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Tesi, Alberto.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Vicino, Antonio.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 1999
    edition: 1st ed. 1999.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 471 p. 43 illus. online resource.
  abstract: This book comprises a selection of papers that were first presented at the Robustness in Identification and Control Workshop, held in Siena, July 30 - August 2, 1998. These are the latest contributions to the field, from leading researchers worldwide. The common theme underlying all of the contributions is the interplay between information, uncertainty and complexity in dealing with modelling, identification and control of dynamical systems. Papers cover recent developments in research areas such as identification for control and the classical area of robust control. There are a number of real-world case studies where the most advanced robustness analysis and synthesis techniques are applied to resolve previously unsolved problems. The relevance of the topic to the system engineering field, and the excellent scientific level of the contributions combine to make this book an important acquisition for engineers, control theorists and applied mathematicians.
  table of contents: Robustness in identification -- Comments on model validation as set membership identification -- SM identification of model sets for robust control design from data -- Robust identification and the rejection of outliers -- Semi-parametric methods for system identification -- Modal robust state estimator with deterministic specification of uncertainty -- The role of experimental conditions in model validation for control -- Modeling and validation of nonlinear feedback systems -- Towards a harmonic blending of deterministic and stochastic frameworks in information processing -- Suboptimal conditional estimators for restricted complexity set membership identification -- Worst-case simulation of uncertain systems -- On performance limitations in estimation -- Design criteria for uncertain models with structured and unstructured uncertainties -- Robustness and performance in adaptive filtering -- Nonlinear identification based on unreliable priors and data, with application to robot localization -- Robust model predictive control: A survey -- Intrinsic performance limits of linear feedback control -- Puzzles in systems and control -- Robust regional pole placement: An affine approximation -- On achieving L p (?p) performance with global internal stability for linear plants with saturating actuators -- Control under structural constraints: An input-output approach -- Multi-objective MIMO optimal control design without zero interpolation -- Robustness synthesis in l 1: A globally optimal solution -- Optimal control of distributed arrays with spatial invariance -- Numerical search of stable or unstable element in matrix or polynomial families: A unified approach to robustness analysis and stabilization -- A convex approach to a class of minimum norm problems -- Quantified inequalities and robust control -- Dynamic programming for robust control: Old ideas and recent developments -- Robustness of receding horizon control for nonlinear discrete-time systems -- Nonlinear repr…
  note: edited by Andrea Garulli, Alberto Tesi, Antonio Vicino.
  subject:
    topic: Control engineering
  subject:
    topic: Computational intelligence
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Computational Intelligence
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Control and Information Sciences, 245
  identifier: 9781846285387
  identifier: https://doi.org/10.1007/BFb0109854
  record info:
    record creation date: 121227
    record change date: 20191022041502.0
    record identifier: 978-1-84628-538-7