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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 3 months ago
An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
Dalil Ichalal, Benoît Marx, José Rago...
CDC
2009
IEEE
103views Control Systems» more  CDC 2009»
15 years 4 months ago
Networked state estimation over a Gilbert-Elliot type channel
Abstract— We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar contin...
Peter Almstrom, Maben Rabi, Mikael Johansson
ICW
2005
IEEE
133views Communications» more  ICW 2005»
15 years 5 months ago
Estimation of Linear Stochastic Systems over a Queueing Network
— In this paper, we consider the standard state estimation problem over a congested packet-based network. The network is modeled as a queue with a single server processing the pa...
Michael Epstein, Abhishek Tiwari, Ling Shi, Richar...
IPSN
2004
Springer
15 years 5 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
117views Control Systems» more  CDC 2008»
15 years 6 months ago
Stability of model predictive control based on reduced-order models
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear...
Svein Hovland, Christian Løvaas, Jan Tommy ...