In this research, we introduce a reasonable noise model for range data which is obtained by a laser radar range jnder, and derive two simple approximate solutions of the optimal local planejtting the range data under the noise model. Then we compare our methods with the general least-squares based methods, such as Z-function fitting, the eigenvalue method, and the maximum likelihood estimation ...

We consider estimation of the covariance matrix of a random vector under the constraint that certain elements in the covariance matrix are zero. Assuming that the random vector follows a multivariate normal distribution, in which case the model is also known as covariance graph model, we present a new algorithm for maximum likelihood estimation of the covariance matrix with zero pattern. We giv...

ABSTRACT This paper provides the design and implementation of an Enhanced Iterative Learning control Strategy (EILCS) in a spherical tank level process. The dynamics of the process are described by differential equation and worst case model parameters are identified by influencing the step test technique. By means relay feedback technique, the periodic reference signal is generated and utilized...