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RISA Novel Adaptive Neural Sliding Mode Control for Systems with Unknown Dynamics
Affine Radial Basis function Network (CARBFN) is developed for online identification of CANSs. A recursive algorithm based on Extended Kalman Filter (EKF) is used for training of CARBFN to develop an adaptive model for CANSs with unknown and uncertain...
Modal Kalman Filter
In the Extended Kalman Filter (EKF), only the first-order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher-order terms...
An optical flow and hough transform based approach to a lane departure warning system
Parameter estimation for a type of nonlinear stochastic models observed with error
state estimation in a batch suspension polymerization reactor
This paper concerns nonlinear state estimation in a batch polymerization reactor where suspension polymerization of Methyl methacrylate takes place.
Efficient target tracking in directional sensor networks with selective target area’s coverage
Wireless sensor networks (WSNs) are employed
in a variety of applications. One of the key applications of
WSNs, which gained much attention, is the target tracking.
Directional sensor networks (DSNs) are a subset ...
Standards compliance helps value creation in agile projects
Mobile User Tracking Algorithm via Velocity Estimation for Microcellular Urban Environment
mobility model and a bank of extended Kalman filters, the algorithm tracks the mobile user by switching to the suitable extended Kalman filter based on the velocity and average received power estimates. The proposed tracking algorithm shows a good ability...