bokomslag Robust and Adaptive Model Predictive Control of Nonlinear Systems
Vetenskap & teknik

Robust and Adaptive Model Predictive Control of Nonlinear Systems

Martin Guay Veronica Adetola Darryl Dehaan

Inbunden

1939:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 7-12 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 272 sidor
  • 2014
Most physical systems possess parametric uncertainties or unmeasurable parameters and, since parametric uncertainty may degrade the performance of model predictive control (MPC), mechanisms to update the unknown or uncertain parameters are desirable in application. One possibility is to apply adaptive extensions of MPC in which parameter estimation and control are performed online. This book proposes such an approach, with a design methodology for adaptive robust nonlinear MPC (NMPC) systems in the presence of disturbances and parametric uncertainties. One of the key concepts pursued is the concept of set-based adaptive parameter estimation, which provides a mechanism to estimate the unknown parameters as well as an estimate of the parameter uncertainty set. The knowledge of non-conservative uncertain set estimates is exploited in the design of robust adaptive NMPC algorithms that guarantee robustness of the NMPC system to parameter uncertainty. Topics covered include: a review of nonlinear MPC; extensions for performance improvement; introduction to adaptive robust MPC; computational aspects of robust adaptive MPC; finite-time parameter estimation in adaptive control; performance improvement in adaptive control; adaptive MPC for constrained nonlinear systems; adaptive MPC with disturbance attenuation; robust adaptive economic MPC; setbased estimation in discrete-time systems; and robust adaptive MPC for discrete-time systems.
  • Författare: Martin Guay, Veronica Adetola, Darryl Dehaan
  • Illustratör: illustrations
  • Format: Inbunden
  • ISBN: 9781849195522
  • Språk: Engelska
  • Antal sidor: 272
  • Utgivningsdatum: 2014-12-30
  • Förlag: Institution of Engineering and Technology