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Robust Control with Engineering Applications
Author(s) -
Tao Li,
Baoyong Zhang,
Zhiguang Feng,
BoChao Zheng
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/567672
Subject(s) - astronautics , robust control , reliability (semiconductor) , engineering , control (management) , control engineering , controller (irrigation) , stability (learning theory) , control theory (sociology) , control system , computer science , aeronautics , artificial intelligence , agronomy , power (physics) , physics , electrical engineering , quantum mechanics , machine learning , biology
Robust control is an important branch of control theory that explicitly deals with uncertainty in its approach to controller design. Over the past several decades, there has been an increasing interest in robust control. On one hand, uncertain parameters or disturbances exist inherently in the aeronautics and astronautics, advanced manufacturing, and other complex engineering systems. On the other hand, uncertain parameters or disturbances seriously affect the stability, accuracy, and reliability of underlying control systems. Therefore, robust control has become a challenging problem in international control filed, for example, H ∞ control, H 2

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