Understanding of the driving scenario represents a necessary condition for autonomous driving. Within control routine an vehicle, it preliminary step motion planning system. Estimation algorithms hence need to handle considerable number information coming from multiple sensors, provide estimates regarding ego-vehicle and surrounding obstacles. Furthermore, tracking is crucial in obstacles state...

The state estimation problem consists of estimating the hidden state of a dynamic system, governed by a stochastic linear or nonlinear process model, from a set of noisy observations, which depend on the hidden state by a stochastic linear or nonlinear observation model. This problem is often solved recursively using Bayesian filtering. In the recursive Bayesian filtering approach, a new state ...

This paper deals with state estimation of micro tunable capacitor subjected to nonlinear electrostatic force. For this end a nonlinear observer has been designed for state estimation of the structure.  Necessary and sufficient conditions for construction of the observer are presented. Stability of the observer is checked using Lyapunov theorem. Observer design is based on converting of differen...

State estimation is used in power systems to estimate grid variables based on meter measurements. Unfortunately, power grids are vulnerable to cyber-attacks. Reducing cyber-attacks against state estimation is necessary to ensure power system safe and reliable operation. False data injection (FDI) is a type of cyber-attack that tampers with measurements. This paper proposes network reconfigurati...

The Political Parties, Elections and Referendums Act 2000 marked the most comprehensive and radical overhaul of British party finance for over 100 years. It instituted reforms in many areas with the notable exception of the comprehensive extension of state funding for political parties. However, despite the radicalism of the Act, questions have already arisen as to whether the further state fun...

This paper describes a rather non-standard variant of state feedback controller. The design is based on controller tuning according to degree of similarity between responses of the measurable variables of the real process and the same variables calculated by estimator. There is also described unusual structure of controller with unequal control and estimation steps. This structural modification...

A noise reduction algorithm for signals corrupted by additive unknown Ls white noise is proposed using an Hm filtering framework. The proposed algorithm consists of two steps: a signal enhancement step and a parameter estimation step, which are iterated at each instant. To weaken the dependence between the signal enhancement step and the parameter estimation step, a total least squares estimati...