Estimation of Distributed Hybrid Systems Using Particle Filtering Methodss
X. Koutsoukos, J. Kurien, and F. Zhao
Hybrid Systems: Computation and Control (HSCC 2003),
Vol. 2623, Lecture Notes in Computer Science, pp. 298-313, Springer, 2003.
Abstract --
Networked embedded systems are composed of a large number of components
that interact with the physical world via a set of sensors and actuators,
have their own computational capabilities, and communicate with each
other via a wired or wireless network. Such systems are best modeled by
distributed hybrid systems that capture the interaction between the
physical and computational components. Monitoring and diagnosis of any
dynamical system depend crucially on the ability to estimate the system
state given the observations. Estimation for distributed hybrid systems
is particularly challenging because it requires keeping track of multiple
models and the transitions between them. This paper presents a particle
filtering based estimation algorithm for a class of distributed hybrid
systems. The hybrid estimation methodology is demonstrated on a cryogenic
propulsion system.
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