Myung-Eui Lee

A new FIR filter for state estimation and its application

This paper proposes a new FIR (finite impulse response) filter under a least squares criterion using a forgetting factor. The proposed FIR filter does not require information of the noise covariances as well as the initial state, and has some inherent properties such as time-invariance, unbiasedness and deadbeat. The proposed FIR filter is represented in a batch form and then a recursive form as an alternative form. From discussions about the choice of a forgetting factor and a window length, it is shown that they can be considered as useful parameters to make the estimation performance of the proposed FIR filter as good as possible. It is shown that the proposed FIR filter can outperform the existing FIR filter with incorrect noise covariances via computer simulations. Finally, as a useful application, an image sequence stabilization problem is considered. Through this application, the FIR filtering based approach is shown to be superior to the Kalman filtering based approach.

Fault-Tolerant Model Based Predictive Control with Application to Boiler Systems

Abstract This paper deals with the fault-tolerant control problem under nonlinear boiler systems with noise and disturbance. MCMBPC (Multivariable Constrained Model-Based Predictive Controller) proposed by Wilkinson et al . is used and modified in this paper in order to be applied to nonlinear boiler systems. Fault-tolerant control scheme combining MCMBPC with a fault detection method based on the unknown input observer is proposed. The fault-tolerant controller proposed is shown, via simulation, to have acceptable tracking performance even under some faults of input valves in the boiler system.

RETRIEVING IMAGES BY COMPARING HOMOGENEOUS COLOR AND TEXTURE OBJECTS IN THE IMAGE

An object-based image retrieval method is addressed in this paper. For that purpose, a new image segmentation algorithm and image comparing method between segmented objects are proposed. For image segmentation, color and textural features are extracted from each pixel in the image and these features are used as inputs into VQ (Vector Quantization) clustering method, which yields homogeneous objects in terms of color and texture. In this procedure, colors are quantized into a few dominant colors for simple representation and efficient retrieval. In the retrieval case, two comparing schemes are proposed. Comparisons between one query object and multi-objects of a database image and comparisons between multi-query objects and multi-objects of a database image are proposed. For fast retrieval, dominant object colors are key-indexed into the database.

The Ontology based Context Aware System Design for Efficient Memory Management of a Vehicle Black Box

Recently, it is used to apply various improved methods to determine the cause of traffic accidents. However, most of vehicle black box usually start to store the video information by an event trigger in case that the impact value at that time exceeds the threshold impact value as compared the threshold impact value saved in advance with the current impact value. there are problems with above method that a lot video information should be saved in the memory card of the vehicle black box, and the user should delete the unwanted video information every time because of unclassified video store. In this paper, we propose the ontology-based context aware algorithm that the vehicle black box recognize the situation, and then remove the video data with a low weighting factor by itself for efficient memory management.

OSEK/VDX Porting to the Two-Wheel Mobile Robot Based on the Differential Drive Method

In this paper, we propose an implementation of a real-time operating system for the two-wheel mobile robot. With this implementation, we have the ability to control the complex embedded systems of the two-wheel mobile robot. The advantage of the real-time operating system is increasing the reliability and stability of the two-wheel mobile robot when they work in critical environments such as military and industrial applications. The real-time operating system which was ported to this implementation is open systems and the corresponding interfaces for automotive electronics (OSEK/VDX). It is known as the set of specifications on automotive operating systems, published by a consortium founded by the automotive industry. The mechanical design and kinematics of the two-wheel mobile robot are described in this paper. The contributions of this paper suggest a method for adapting and porting OSEK/VDX real-time operating system to the two-wheel mobile robot with the differential drive method, and we are also able to apply the real-time operating system to any complex embedded system easily.

SOME LOWER BOUNDS ON THE IMPULSE RESPONSE OF SISO SYSTEMS

Abstract This paper establishes some lower bounds on the impulse response of SISO(single-input, single-output) stable systems imposed by zeros located in the convergence region of the system. In nonminimum phase systems, the other bounds are derived, which are more severe than that of minimum phase systems owing to RHP(right half plane) zeros. The lower bounds proposed in this paper show the trade-off relations between the maximum magnitude of the impulse response and the achievable settling time.

Robust H ∞ FIR sampled-data filter for uncertain time-varying systems with unknown nonlinearity

The robust linear H∞ FIR filter, which guarantees a prescribed H∞ performance, is designed for continuous time-varying systems subject to unknown initial state, real norm-bounded parameter uncertainty and unknown cone-bounded nonlinearity. The infinite horizon filtering for time-varying systems is investigated in terms of two Riccati equations by the finite moving horizon.

Robust H/sub /spl infin// FIR filtering with sampled-data measurements

The problem of robust H/sub /spl infin// filter with FIR (finite impulse response) structure for linear continuous time-varying systems with sampled-data measurements is to be considered. It is assumed that the system is subject to real time-varying uncertainty which is represented by the state-space model having parameter uncertainty. The sampled-data system is represented by using piecewise continuous system with finite jumps. The robust H/sub /spl infin// FIR filter is derived by using the equivalence relationship between the FIR filter and the recursive filter, that would be guarantee a prescribed H/sub /spl infin// performance in the continuous-time context, irrespective of the parameter uncertainty and unknown initial states.