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SAB
2010
Springer
187views Optimization» more  SAB 2010»
13 years 7 months ago
Learning Robot-Environment Interaction Using Echo State Networks
Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s dem...
Mohamed Oubbati, Bahram Kord, Günther Palm
ISCC
2006
IEEE
14 years 2 months ago
Analysis of Resource Increase and Decrease Algorithm in Wireless Sensor Networks
In this paper, we first attempt to formally define the resource control framework that adjusts the resource provisioning at the hotspot during congestion. In an effort to find ...
JaeWon Kang, Yanyong Zhang, Badri Nath
ICMLA
2008
13 years 10 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. ...
DSN
2004
IEEE
14 years 12 days ago
Safety Optimization: A Combination of Fault Tree Analysis and Optimization Techniques
Abstract-We present a new form of quantitative safety analysis safety optimization. This method is a combination of fault tree analysis(FTA) and mathematical optimization technique...
Frank Ortmeier, Wolfgang Reif
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
13 years 3 months ago
Deployment of an unreliable robotic sensor network for spatial estimation
This paper studies an optimal deployment problem for a network of robotic sensors moving in the real line. Given a spatial process of interest, each individual sensor sends a pack...
Jorge Cortes