Guaranteed cost model predictive control approaches for linear systems subject to multiplicative uncertainties with applications to autonomous vehicles

Guaranteed cost model predictive control approaches for linear systems subject to multiplicative uncertainties with applications to autonomous vehicles

The Linear Quadratic Regulator (LQR) is an optimal control approach which aims to drive states of a linear system to its origin through the minimization of a quadratic cost functional. Such an approach has been widely successful for both theoretical and practical applications. However, when such con...

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Bibliographic Details
Main Author: Massera Filho, Carlos Alberto de Magalhães
Other Authors: Wolf, Denis Fernando
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2019
Subjects:
Autonomous vehicles
Controle ótimo
Controle preditivo de modelo
Controle robusto
Desigualdade matricial linear
Linear matrix inequalities
Model predictive control
Optimal control
Robust control
Veículos autônomos
Online Access:http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23082019-154324/

Internet

http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23082019-154324/

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