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114
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ICMLA
2008
15 years 5 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
126
Voted
JCB
2006
185views more  JCB 2006»
15 years 3 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
118
Voted
AUTOMATICA
2005
145views more  AUTOMATICA 2005»
15 years 3 months ago
Averaging analysis of periodically forced fluid networks
For a lumped parameter model of a flow network driven by a periodic generator, we apply averaging to find an approximate solution and analyze its stability. The approximate soluti...
Olga I. Koroleva, Miroslav Krstic
137
Voted
AAAI
2012
13 years 5 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
120
Voted
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
15 years 10 months ago
Applications of the general Lyapunov ISS small-gain theorem for networks
Abstract— In the framework of the ISS Lyapunov formulation a small gain theorem has recently been proved which allows the explicit construction of Lyapunov functions for intercon...
Sergey Dashkovskiy, Björn Rüffer, Fabian...