LMI conditions for robust consensus of uncertain nonlinear multi-agent systems
Establishing consensus is a key probleminmulti-agent systems (MASs). This thesis proposes a novel methodology based on convex optimization in the form of linear matrix inequalities (LMIs) for establishing consensus in linear and nonlinear MAS in the presence of model uncertainties, i.e., robust cons...
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| Language: | English |
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The University of Hong Kong (Pokfulam, Hong Kong)
2014
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| Online Access: | http://hdl.handle.net/10722/206333 |