There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

Robust Model-Based Fault Diagnosis for Dynamic Systems

비만아 부모의 돌봄 경험: q 방법론

The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.

The Ensemble Kalman Filter: Theoretical formulation and practical implementation

This chapter analyzes a propulsive force generated from pectoral fins for a manta-like fish robot, which is one of rajiform-type fish robot in a classification of swimming mechanism of fishes, from fluid dynamics aspects. The fishes of this type swim underwater with two pectoral fins. A diving method is proposed, assuming that some front fin rays are fixed with a constant angle. The usefulness of the method is demonstrated by numerical simulations and an experiment with an actual robot system.

Fundamental control for a manta-like fish robot

Mechatronics Educational System Using Multiple Mobile Robots with Behavior-Based Control Approach

Recently, many studies on mechatronics experiment system are conducted. In this paper, unique educational experiment systems are proposed for undergraduate students to be able to efficiently learn basic mechatronics techniques. The first system is used to learn input/output port operations, periodically LED lights ON/OFF and a stepping motor control. The second system is effective to learn A/D conversion for several sensor information, D/A conversion for DC motor control and a PID control method. Also, the third system is designed by using a robot arm with 4-DOFs to learn PWM (Pulse Width Modulation) control of a DC motor and force control of an end-effector. Further, the fourth system is designed using multiple mobile robots in which a subsumption control architecture is incorporated. Each of the systems individually has an important factor which students should acquire, so that it is expected that the combination will yield promising results. The effectiveness of the proposed systems is evaluated through experimental lectures in the department of mechanical engineering, Tokyo University of Science, Yamaguchi.

Mechatronics education systems through sensing and control design

Various methods of suppressing the swing of loads have been studied because the swing and rotation of suspended loads may lead to a decrease in work efficiency or an accident. On the other hand, a small-sized multi-rotor that can move in the air, take pictures and deliver luggage has been actively studied in recent years. In this study, a horizontally movable multi-rotor is developed using two element technologies of load sway and multi-rotor. After describing a new method of load sway suppression using a multi-rotor, we design and fabricate a horizontally movable multi-rotor. In addition, some experiments on horizontal and rotational movements are conducted in two environments, the ground and the air. As a result, it is verified that the load sway suppression is possible using the proposed multi-rotor.

Development of a Horizontally Movable Multi-Rotor for Suppressing Load Sway

This chapter describes the development of a robotic CAM system for an articulated industrial robot from the viewpoint of robotic servo controller. It is defined here that the CAM system includes an important function that allows an industrial robot to move along not only numerical control data (NC data) but also cutter location data (CL data) consisting of position and orientation components. A reverse postprocessor is proposed for the robotic CAM system to online generate CL data from the NC data generated for a five-axis NC machine tool with a tilting head, and the transformation accuracy about orientation components in CL data is briefly evaluated. The developed CAM system has a high applicability to other industrial robots with an open architecture controller whose servo system is technically opened to end-users, and also works as a straightforward interface between a general CAD/CAM system and an industrial robot. The basic design of the robotic CAM system and the experimental result are presented, in which an industrial robot can move based on not only CL data but also NC data without any teaching.

Keigo Watanabe

Papers

Fundamental control for a manta-like fish robot

Mechatronics Educational System Using Multiple Mobile Robots with Behavior-Based Control Approach

Mechatronics education systems through sensing and control design

Development of a Horizontally Movable Multi-Rotor for Suppressing Load Sway

Robotic CAM system available for both CL data and NC data