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

In this chapter, a desktop-size orthogonal-type robot with compliance controllability is developed to finish an axis-asymmetric workpiece with multiple small concave areas. Elemental technologies such as the transformation of manipulated values from velocity to pulse, desired damping considering the critically damped condition, weak coupling control method between force and position feedback loops, stick-slip motion control method, neural network-based stiffness estimator, automatic truing of a thin wood-stick tool for long-time lapping process, and force input device for manual operation are explained in detail. The finishing performance of the proposed orthogonal-type robot is evaluated through finishing experiments of an LED lens cavity with multiple small concave areas of 4.0 mm.

Desktop orthogonal-type robot for LED lens cavities

In this chapter, an intelligent machining system based on an NC machine tool with a rotary unit is introduced to efficiently and easily produce many kinds of artistically designed wooden paint rollers. A post-processor with the fuzzy feed rate generator is also presented to effectively make the machining system run. The post-processor allows the NC machine tool to easily transcribe a relief design from the surface on a flat model to the one on a cylindrical workpiece. The fuzzy feed rate generator generates suitable feed rate values according to the curvature of each relief design. Experimental results show that artistically designed wooden paint rollers can be successfully carved using the proposed machining system.

Keigo Watanabe

Papers

Desktop orthogonal-type robot for LED lens cavities

3D machining system for artistic wooden paint rollers

Generalized learning-based fuzzy environment model

Principal Curvature Measurement by an Acoustic Tactile Sensor

Learning of Object Identification by Robots Controlled by Natural Language.