Introduction of an Optimization Technique with Dividing Term and Moving Horizon

An Adaptive Multiscale Method for Real–Time Moving Horizon Optimization

Introduction to Nonlinear Model Predictive Control and Moving Horizon Estimation

Nonlinear model predictive control and moving horizon estimation are related methods since both are based on the concept of solving an optimization problem that involves a finite time horizon and a dynamic mathematical model. This chapter provides an introduction to these methods, with emphasis on how to formulate the optimization problem. Both theoretical and practical aspects are treated, ran...

An optimization based Moving Horizon Estimation with application to localization of Autonomous Underwater Vehicles

Localizing small Autonomous Underwater Vehicles (AUVs) that have limited payload and perception capability is of importance to promote popularization of underwater applications. Twodifferentmethodologies, filter and optimization basedmethods, can both be used to address the localization problem. But they are seldom rigorously compared and their relative advantages are rarely established. This p...

the effects of keyword and context methods on pronunciation and receptive/ productive vocabulary of low-intermediate iranian efl learners: short-term and long-term memory in focus

از گذشته تا کنون، تحقیقات بسیاری صورت گرفته است که همگی به گونه ای بر مثمر ثمر بودن استفاده از استراتژی های یادگیری لغت در یک زبان بیگانه اذعان داشته اند. این تحقیق به بررسی تاثیر دو روش مختلف آموزش واژگان انگلیسی (کلیدی و بافتی) بر تلفظ و دانش لغوی فراگیران ایرانی زیر متوسط زبان انگلیسی و بر ماندگاری آن در حافظه می پردازد. به این منظور، تعداد شصت نفر از زبان آموزان ایرانی هشت تا چهارده ساله با...

An Introduction to Moving Frames

This paper surveys the new, algorithmic theory of moving frames. Applications in geometry, computer vision, classical invariant theory, and numerical analysis are indicated.