Kalman Filter Techniques

This paper answers several questions of centralized Kalman-Filters in multi-sensor fusion, fault detection and isolation in sensors, optimal control in linear-quadratic Gaussian problem, an algorithm in fuzzy based approach to adaptive Kalman-Filtering additionally in multi-state multi-sensor fusion. Generally, Kalman-Filters comprise a number of types and topologies depending on use and computing complexity of applied processors. State estimation provided by a Kalman-Filter is crucial in this thesis. Kalman-Filter performs optimal estimation of an unknown system state through filters behavior. This thesis supposes some models of promising linear Kalm