2012 IEEE 51st IEEE Conference on Decision and Control (CDC) 2012
DOI: 10.1109/cdc.2012.6426306
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Distributed robust stability analysis of interconnected uncertain systems

Abstract: Abstract-This paper considers robust stability analysis of a large network of interconnected uncertain systems. To avoid analyzing the entire network as a single large, lumped system, we model the network interconnections with integral quadratic constraints. This approach yields a sparse linear matrix inequality which can be decomposed into a set of smaller, coupled linear matrix inequalities. This allows us to solve the analysis problem efficiently and in a distributed manner. We also show that the decomposed… Show more

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Cited by 14 publications
(35 citation statements)
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“…Consider the same NS Σ investigated in [1], [17]. This system is constituted from N linear time invariant (LTI) dynamic subsystems and the dynamics of its i-th subsystem Σ i is described by the following state space model…”
Section: System Description and Some Preliminariesmentioning
confidence: 99%
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“…Consider the same NS Σ investigated in [1], [17]. This system is constituted from N linear time invariant (LTI) dynamic subsystems and the dynamics of its i-th subsystem Σ i is described by the following state space model…”
Section: System Description and Some Preliminariesmentioning
confidence: 99%
“…Note also that approximate power-law degree distribution exists extensively in science and engineering systems, such as gene regulation networks, protein interaction networks, internet, electrical power systems, etc. For these systems, interactions among subsystems are sparse and the matrix Φ usually has a dimension significantly smaller than that of its state vector [1], [9], [6], [17]. Under such a situation, results of this paper work well in general.…”
Section: System Description and Some Preliminariesmentioning
confidence: 99%
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“…We have chosen a simple example to demonstrate what can be done if (12) happens to be sparse in order to not clutter the presentation. The general case can be handled similarly as is described for a centralized solution in Andersen et al (2012). A positive semidefinite band matrix can be decomposed into a sum of positive semidefinite matrices, as illustrated in Figure 2.…”
Section: Robust Stability Analysismentioning
confidence: 99%