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AUTOMATICA
2006
106views more  AUTOMATICA 2006»
15 years 6 months ago
Decentralized receding horizon control for large scale dynamically decoupled systems
A detailed study on the design of decentralized Receding Horizon Control (RHC) schemes for decoupled systems is presented. An optimal control problem is formulated for a set of de...
Tamás Keviczky, Francesco Borrelli, Gary J....
DAC
2005
ACM
16 years 7 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
243
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E4MAS
2004
Springer
16 years 4 days ago
Supporting Context-Aware Interaction in Dynamic Multi-agent Systems
The increasing ubiquity of mobile computing devices has made mobile ad hoc networks an everyday occurrence. Applications in these networks are commonly structured as a logical netw...
Christine Julien, Gruia-Catalin Roman
NC
1998
140views Neural Networks» more  NC 1998»
15 years 8 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
IDA
1999
Springer
15 years 11 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley