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The range of potential system architectures and estimation solutions goes from the completely decentralized, in which each agent only estimates its own states, to the completely centralized, in which all states of all agents are estimated jointly.
Most estimation solutions are based on dynamical models of the car.
Cooperation between the nodes is used in position estimation solutions, as described in, e.g.,[9 13].
The conventional Kalman filter generates optimal estimation solutions only when the nominal equations of the model and measurement include zero-mean, uncorrelated, white Gaussian noise.
Thus, it is not enough to minimize the MAD residual error as in (6), as many motion estimation solutions do, but it is also necessary to avoid large deviations between neighboring motion models.
The Coxian duration model has several advantages over existing duration parameterization using multinomial or exponential family distributions, including its denseness in the space of nonnegative distributions, low number of parameters, computational efficiency and the existence of closed-form estimation solutions.
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We also present and justify our LQI-based link quality estimation solution for NST-AODV.
Its observability is discussed and a Kalman filter provides the estimation solution, with globally exponentially stable (GES) error dynamics.
In this study, a power system harmonic estimation solution based on modified artificial bee colony (MABC) algorithm have been proposed.
The system provides a fast real-time and guaranteed state estimation solution at the PMU data rate using the real power system network model.
In case the EMS fail for any reason, this system can still provide critical state estimation solution and further feed reliable data to synchrophasor applications.
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