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Mao (2013) also obtains an upper bound on the duration τ between two consecutive state observations.
We introduce a framework for the experimental design problem to infer parameters from steady state observations of intracellular networks.
Two events consist of magnetic clouds, in which charge state observations provide information about the cloud geometry and source region.
Recently, Mao (2013) discusses the mean-square exponential stabilization of continuous-time hybrid stochastic differential equations by feedback controls based on discrete-time state observations.
In a linear feedback model with noisy state observations, measurement error seriously distorts the performance of the policy rule that is optimal for the noise-free system.
However, for poor or non-existent state observations, the state estimation in hydrological DA can be problematic, leading to inaccurate streamflow updates.
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As a consequence, in practice, these processes are usually not observable nor detectable and most state observation and control techniques cannot be applied.
Behaviour State Observation sits at the base of observational protocols and seeks to ascertain individual "readiness" or capacity to engage with environmental stimuli.
A high gain observer approach is proposed for simultaneous state observation and parameter identification.
We consider the problem of state observation for systems having a well-defined observability canonical form (Gauthier and Kupka (2004)) by means of high-gain observers.
This paper presents a decentralized observer with a consensus filter for the state observation of discrete-time linear distributed systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com