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CDC
2009
IEEE
227views Control Systems» more  CDC 2009»
13 years 5 months ago
Reduced-order observer design using a Lagrangian method
This paper considers the problem of reduced-order observer design. A design procedure is proposed in which the impulse response of the observer is treated as the solution of a gene...
Mark Mutsaers, Siep Weiland, Richard Engelaar
ISNN
2004
Springer
14 years 21 days ago
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm
A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Yuehui Chen, Bo Yang, Jiwen Dong
GECCO
2007
Springer
188views Optimization» more  GECCO 2007»
14 years 1 months ago
Using genetic algorithms for naval subsystem damage assessment and design improvements
Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, cont...
Christopher McCubbin, David Scheidt, Oliver Bandte...
WSC
2007
13 years 9 months ago
Allocation of simulation runs for simulation optimization
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...
Alireza Kabirian, Sigurdur Ólafsson
ISPD
2000
ACM
124views Hardware» more  ISPD 2000»
13 years 11 months ago
A performance optimization method by gate sizing using statistical static timing analysis
We propose a gate resizing method for delay and power optimization that is based on statistical static timing analysis. Our method focuses on the component of timing uncertainties...
Masanori Hashimoto, Hidetoshi Onodera