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GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
CDC
2010
IEEE
148views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence rates of consensus algorithms in stochastic networks
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Stacy Patterson, Bassam Bamieh
LISA
2007
13 years 10 months ago
Network Patterns in Cfengine and Scalable Data Aggregation
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Mark Burgess, Matthew Disney, Rolf Stadler
IJCNN
2006
IEEE
14 years 1 months ago
An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System
—This paper presents a novel fuzzy logic based controller for a Static Compensator (STATCOM) connected to a power system. Type-II fuzzy systems are selected that enable the contr...
Salman Mohagheghi, Ganesh K. Venayagamoorthy, Rona...
NIPS
1998
13 years 9 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll