Lasso-MPC - Predictive Control with ℓ1-Regularised Least Squares

This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an ℓ1-regularised least squares loss function, in which the control error variance competes with the sum of input channels ma...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gallieri, Marco (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Control engineering.
System theory.
Control theory.
Computer simulation.
Control and Systems Theory.
Systems Theory, Control .
Computer Modelling.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Background
  • Principles of LASSO MPC
  • Version 1: `1-Input Regularised Quadratic MPC.-  Version 2: LASSO MPC with stabilising terminal cost
  • Design of LASSO MPC for prioritised and auxiliary actuators
  • Robust Tracking with Soft-constraints
  • Ship roll reduction with rudder and fins
  • Concluding Remarks.

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