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 Predictive Vibration Control
    sub title: Efficient Constrained MPC Vibration Control for Lightly Damped Mechanical Structures
  name:
    name part: Takács, Gergely.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Rohaľ-Ilkiv, Boris.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXXVIII, 518 p. online resource.
  abstract: Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility. In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as: · the implementation of computationally efficient algorithms · control strategies in simulation and experiment and · typical hardware requirements for piezoceramics actuated smart structures. The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation. .
  table of contents: 1. Introduction -- 2. Basics of Vibration Dynamics -- 3. Smart Materials in Active Vibration Control -- 4. Algorithms in Active Vibration Control -- 5. Laboratory Demonstration Hardware for AVC -- 6. Basic MPC Formulation -- 7. Stability and Feasibility of MPC -- 8. Efficient MPC Algorithms -- 9. Applications of Model Predictive Vibration Control -- 10. MPC Implementation for Vibration Control -- 11. Simulation Study of Model Predictive Vibration Control -- 12. Experimental Model Predictive Vibration Control -- A. FE Modeling of the Active Structure -- B. MPC Code Implementation Details.
  note: by Gergely Takács, Boris Rohaľ-Ilkiv.
  subject:
    topic: Engineering
  subject:
    topic: System theory
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Computational intelligence
  subject:
    topic: Vibration
  subject:
    topic: Dynamical systems
  subject:
    topic: Dynamics
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Vibration, Dynamical Systems, Control
  subject:
    topic: Computational Intelligence
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Systems Theory, Control
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781447123330
  identifier: http://dx.doi.org/10.1007/978-1-4471-2333-0
  record info:
    record creation date: 120303
    record change date: 20151125222012.0
    record identifier: 978-1-4471-2333-0