........................................................................................................................... viii Abbreviations and Definitions........................................................................................... ix Publications ....................................................................................................................... xi Prelimin...

A geometric nonlinear observer algorithm for Simultaneous Localization and Mapping (SLAM) developed on the Lie group of \mathbb{SLAM}_{n}\left(3\right) is proposed. The presented novel solution estimates vehicle's pose (i.e. attitude position) with respect to landmarks simultaneously positioning reference features in global frame. proposed estimator manifold characterized by predefined measures...

A state observer is a system that models a real system in order to provide an estimate of the internal state of the system. The design techniques and comparison of four different types of state observers are presented in this paper. The considered observers include Luenberger observer, Kalman observer, unknown input observer and sliding mode observer. The application of these observers to a Mul...

aim and background: deficit of theory of mind is a fundamental impairment of social skill in autistic children. the purpose of present study was evaluation of cognitive rehabilitation on social cognition abilities of children with high function autism. methods and materials: in present single subject study, 4 children with high function autism participated in study with no probably sampling. si...

In this paper, new observer design approaches are presented for TakagiSugeno (T-S) fuzzy models with measurement output noises. In order to decouple the measurement noise, an augmented fuzzy descriptor model is first constructed. Then a fuzzy descriptor proportional and derivative (PD) observer is developed. When the fuzzy subsystems have the same output matrices, another fuzzy descriptor obser...

This paper presents a new algorithm for speed observation of three-phase induction machines, based on a Neo-Fuzzy-Neuron (NFN) algorithm with real time training, which does not require previous training. The main characteristics of this novel observer are: the quick convergence, the good performance at wide speed range, and the robustness to load and some parametric variations. This observer re...