Log-linear Error State Model Derivation without Approximation for INS

GPS/INS Integration for Vehicle Navigation based on INS Error Analysis in Kalman Filtering

The Global Positioning System (GPS) and an Inertial Navigation System (INS) are two basic navigation systems. Due to their complementary characters in many aspects, a GPS/INS integrated navigation system has been a hot research topic in the recent decade. The Micro Electrical Mechanical Sensors (MEMS) successfully solved the problems of price, size and weight with the traditional INS. Therefore...

A dynamic game approximation for a linear regulator problem with a log-barrier state constraint

An exact supremum-of-quadratics representation for log-barrier functions is developed for, and subsequently applied in, a state-constrained linear regulator problem. By approximating this representation, it is shown that this regulator problem can be approximated by an unconstrained linear quadratic dynamic game. It is anticipated that this game approximation may facilitate the computation of a...

A New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model

Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...

Learning without Recall: A Case for Log-Linear Learning

We analyze a model of learning and belief formation in networks in which agents follow Bayes rule yet they do not recall their history of past observations and cannot reason about how other agents’ beliefs are formed. They do so by making rational inferences about their observations which include a sequence of independent and identically distributed private signals as well as the beliefs of the...

THE UNIVERSITY OF CALGARY Improving the Inertial Navigation System ( INS ) Error Model for INS and INS / DGPS