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 paper proposes a method for controlling posture of a robot manipulator by fuzzy voice commands. Human-friendly robotic system should be able to understand the fuzzy linguistic information based on the user's guidance and the environmental conditions. The contextual meaning of fuzzy linguistic information depends on the conditions of the environment. Therefore, the user's feedback is evaluated to understand the fuzzy linguistic information related to the posture movements. The primitive posture movements are evaluated by the behavior evaluation network (BEN). Feedback evaluation system (FES) is introduced to evaluate the user's feedback to correct the robot perception by adapting the BEN. The capability of evaluating fuzzy linguistic information based on the current context is enhanced. A selected set of posture movements are used to illustrate the system by using a PA-10 robot manipulator.

Posture control of a robot manipulator by evaluating fuzzy linguistic information based on user feedback

Obstacle Avoidance of Multi-Link Manipulators Using Fuzzy Behavior-Based Control

https://www.jstage.jst.go.jp/article/sicetr1965/17/4/17_4_461/_pdf

Construction of a Diffusion Model for the Prediction of SO2 Concentration

Until now, we have proposed a multiple mobile robots system based on wireless communication using simple hardware and software. The controller of the system is developed based on a subsumption architecture to realize a swarm intelligence. The subsumption architecture is constructed in a supervisory PC server. The subsumption architecture generates eight kinds of simple commands. The server transmits a communication packet including the command to each mobile robot by wireless communication. Each mobile robot moves based on the received command while transmitting a response packet including six Position Sensitive Detector (PSD) sensors' information to the server. The sensors' information is used as the inputs for three agents in the subsumption architecture. In this paper, to realize a more biological behavior, a bend sensor is added in the robot through a compact A/D converter and the corresponding agent is newly designed in the controller of the server. It is expected that not only the added agent works as emergency escape function to defend the robot itself but also other analogue sensors can be easily equipped with. Also, to examine the actual delay of the system in using serial communication and wireless communication, dynamic sampling period is experimentally measured by using multi media timer with 2 ms resolution on Windows system. The dynamic sampling period is the communication time required between the PC server and the robot. In addition, the success rate of communication, which is defined as the ratio of reception times to transmission times, is evaluated. The measured results are shown and discussed.

Keigo Watanabe

Papers

Posture control of a robot manipulator by evaluating fuzzy linguistic information based on user feedback

Obstacle Avoidance of Multi-Link Manipulators Using Fuzzy Behavior-Based Control

Construction of a Diffusion Model for the Prediction of SO2 Concentration

Evaluation of subsumption architecture controller by wireless multiple mobile robots system

Partitioned Estimation Problem for Linear Distributed Parameter Systems