Sentence examples for missing measurements and from inspiring English sources
Sensor saturations, missing measurements and channel fadings are governed by random variables obeying the Bernoulli distributions.
The uncertainties of the systems include multiplicative noises, missing measurements, and uncertain noise variances.
The fuzzy system also shows excellent robustness with missing measurements and degrades gradually in the presence of faulty sensors/measurements.
The proposed randomly occurring phenomena include both probabilistic missing measurements and randomly occurring coupling delays which are described by two random variable sequences satisfying individual probability distributions, respectively.
This paper deals with the H∞ consensus control problem for a class of discrete time-varying multi-agent systems with both missing measurements and parameter uncertainties.
This paper is concerned with the distributed H∞ filtering problem in sensor networks for discrete-time systems with missing measurements and communication link failures.
In this paper, the H∞ filtering problem is investigated for a class of discrete-time arbitrary switched neural networks with missing measurements, stochastic perturbations, and communication delays.
Based on the average dwell time approach and a set of Kronecker delta functions, a unified measurement model is established to represent the phenomena of missing measurements, time delays and nonlinearities.
About 10% of hourly missing measurements for BC and PM2.5 were imputed through a linear regression, where each pollutant was regressed against season, long-term time trend, day of the week, mean temperature, relative humidity, barometric pressure, extinction coefficient, and previous and following day measurements of the pollutant (Zanobetti and Schwartz 2007).
The random disturbances existing in the system are characterized by the multiplicative noises and the phenomena of sensor delay and missing measurements occur in a random way.
The nonlinear sampled-data system and missing measurements are assumed to be represented by a Takagi Sugeno (T S) fuzzy system and an independent, identically distributed Bernoulli random process, respectively.
