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SAFECOMP
1999
Springer
13 years 12 months ago
Towards Statistical Control of an Industrial Test Process
We present an ongoing experience aimed at introducing statistical process control techniques to one crucial test phase, namely Function Test, of a real world software development p...
Gaetano Lombardi, Emilia Peciola, Raffaela Mirando...
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 2 months ago
On the use of numerical methods for analysis and control of nonlinear convective systems
Abstract— A common approach to designing feedback controllers for nonlinear partial differential equations (PDEs) is to linearize the system about an equilibrium and use the line...
Edward Allen, John A. Burns, David S. Gilliam
NECO
2002
105views more  NECO 2002»
13 years 7 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
CCE
2007
13 years 7 months ago
Control of integrated process networks - A multi-time scale perspective
In this paper, we analyze the dynamics of integrated process networks featuring large recycle streams and small purge streams. We consider a prototype network comprising of a reac...
Michael Baldea, Prodromos Daoutidis
IJON
2006
84views more  IJON 2006»
13 years 7 months ago
Dynamic regulation of spike-timing dependent plasticity in electrosensory processing
This study investigates the control of spike-timing dependent plasticity (STDP) by regulation of the dendritic spike threshold of the postsynaptic neuron. The control of synaptic ...
Patrick D. Roberts, Gerardo Lafferriere, Nathaniel...