There are mainly two approaches to the state estimation or the system identification problems, where the system contains additive unknown values. One is the well-known stochastic approach, and the other is the setmembership approach, where the unknown values are treated as unknown deterministic values in bounded sets. In this paper, we consider the state estimation of linear systems when the in...

In this paper a new method is introduced for path planning of an autonomous vehicle. In this method, the environment is considered cluttered and with some uncertainty sources. Thus, the state of detected object should be estimated using an optimal filter. To do so, the state distribution is assumed Gaussian. Thus the state vector is estimated by a Kalman filter at each time step. The estimation...

In this paper, a novel noise reduction method using hybrid noise estimation technique and post-filtering is proposed to suppress both localized and non-localized noise components which can not be dealt with by the traditional methods [2][3][4]. To do this, a hybrid noise estimation approach is proposed by combining our previously constructed multichannel noise estimation approach and a single-c...

We investigate giant magnons from classical rotating strings in two different backgrounds. First we generalize the solution of Hofman and Maldacena and investigate magnon excitations of a spin chain which are dual to a string on R× S with three nonvanishing angular momenta. We find a dispersion relation similar to that of Hofman and Maldacena and to the one found by Dorey for the two spin case ...