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» Discrete state estimators for systems on a lattice
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IPSN
2004
Springer
15 years 11 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
CDC
2008
IEEE
120views Control Systems» more  CDC 2008»
16 years 15 days ago
Approximate abstractions of discrete-time controlled stochastic hybrid systems
ate Abstractions of Discrete-Time Controlled Stochastic Hybrid Systems Alessandro D’Innocenzo, Alessandro Abate, and Maria D. Di Benedetto — This work proposes a procedure to c...
Alessandro D'Innocenzo, Alessandro Abate, Maria Do...
ICRA
2007
IEEE
149views Robotics» more  ICRA 2007»
16 years 10 days ago
Model-based Motion Estimation of Elastic Surfaces for Minimally Invasive Cardiac Surgery
— In order to assist surgeons during surgery on moving organs, e.g. minimally invasive beating heart bypass surgery, a master-slave system which synchronizes surgical instruments...
Thomas Bader, Alexander Wiedemann, Kathrin Roberts...
HYBRID
2007
Springer
16 years 6 days ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
GLOBECOM
2006
IEEE
16 years 3 days ago
Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks
Abstract— In this contribution, we propose an efficient collaborative strategy for online change detection, in a distributed sensor network. The collaborative strategy ensures t...
Hichem Snoussi, Cédric Richard