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Handbook of Model Predictive Control

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Raković, Saša V. (Editör), Levine, William S. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Birkhäuser, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Control Engineering,
Konular:
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • Theory
  • The Essentials of Model Predictive Control (MPC)
  • Dynamic Programming and MPC
  • Set-valued and Lyapunov Methods for MPC
  • Stochastic Model Predictive Control
  • Moving Horizon Estimation
  • Probing and Duality in Stochastic Model Predictive Control
  • Economic Model Predictive Control: Some Design Tools and Analysis Techniques
  • Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective
  • Hybrid Model Predictive Control
  • Model Predictive Control of Polynomial Systems
  • Distributed MPC for Large-Scale Systems
  • Scalable MPC Design
  • Computations
  • Efficient Convex Optimization for Linear MPC
  • Implicit Non-Convex Model Predictive Control
  • Convexification and Real-Time Optimization for MPC with Aerospace Applications
  • Explicit (Offline) Optimization for MPC
  • Real-Time Implementation of Explicit Model Predictive Control
  • Robust Optimization for MPC
  • Scenario Optimization for MPC
  • Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control
  • Applications
  • Automotive Applications of Model Predictive Control
  • Applications of MPC in the Area of Health Care
  • Model Predictive Control for Power Electronics Applications
  • Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots
  • Applications of MPC to Building HVAC Systems
  • Toward Multi-Layered MPC for Complex Electric Energy Systems
  • Applications of MPC to Finance.