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This article deals with the problem of estimating the empirical parameters in a traffic flow modeled by the so-called Lighthill-Whitham-Richards equation. The optimal values of parameters are estimated by solving the inverse problem of minimizing the least square error between simulations and lumped observation values. The system equation and adjoint model equation, obtained by using adjoint method,...
A general first-order model relating directional derivatives of travel time with speed at each point in the time-space domain is used in speed based travel time estimation. Due to its partial differential equation (PDE) form, this model makes it possible to estimate travel times without the need for trajectory construction based on speeds which is a cumbersome integration operation. A forward time...
This paper presents a dynamic model estimation using system identification (SI) technique and a multivariable controller design for an unmanned surface vehicle (USV) with two fixed thrusters. The catamaran shaped USV has been developed for marine research and surveying exploration in costal area. To validate the automatic control performance of USV, which is designed by classical PID controller, we...
The unscented Kalman filter (UKF) has become a new technique used in a number of nonlinear estimation application. Its application process includes calculating and transmitting the mean and covariance; making use of the forecast sample points and weighing calculation to forecast the mean and covariance; forecasting measurement value and covariance; at last, calculating the UKF gain, renewing state...
The underwater target localization problem is one important application for underwater acoustic sensor networks. This paper, based on "underwater acoustic transmission theory", solves the target localization problem. The proposed algorithm firstly studies the principle of underwater acoustics and applies it to set up the model of underwater signal energy transmission. According to the model,...
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