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

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

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

The Theory of Matrices. By F R. Gantmacher. Two volumes, pp. 374 and 276. 1959. (Translated from the Russian by K. A. Hirsch; Chelsea Publishing Company, New York)

With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and safety hazards, which greatly necessitates to detect and identify any kinds of potential abnormalities and faults as early as possible and implement real-time fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results have been reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade. In this paper, fault diagnosis approaches and their applications are comprehensively reviewed from model- and signal-based perspectives, respectively.

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A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

A belief rule-base inference methodology using the evidential reasoning approach (RIMER) has been developed where a new rule-base designed on the basis of a belief structure forms a basis in the inference mechanism of RIMER. A rule-base with both subjective and analytical elements may be difficult to build in particular for a complex system. A learning method for optimally training the elements of belief rules and other knowledge representation parameters is proposed. Nonlinear multiobjective optimization models are proposed to minimize the differences between the outputs of a belief rule base and given data. The problems are solved using the optimization toolbox provided in MATLAB. The optimization models are extended to hierarchical knowledge based systems. A numerical example for a hierarchical rule-base is examined to demonstrate the new method.

An optimal learning method for constructing belief rule bases

Disturbance spaces and sup regulators in discrete time

To improve the poor dynamic consensus in multiple dc–dc converter systems caused by parameter differences, this article proposes a global optimal cooperative control strategy. The proposed control strategy achieves dynamic consensus of output currents by minimizing a global performance index, which consists of local errors and neighbor synchronization errors. In this system, each converter is regarded as an agent in the communication digraph, so as to construct a cyber-physical model. Accordingly, a cooperative control method based on the linear quadratic regulator (LQR) is proposed, with the help of nonlinear coordinate transformation techniques. Different from conventional LQR, integral action is introduced to eliminate steady-state errors and improve coordinated performance. Meanwhile, the proof of the stability and consensus of the closed-loop system is given using Lyapunov approach. Moreover, the design guidelines to tune the dynamic response are provided through simulations. The experimental results further demonstrate the effectiveness and superiority of the proposed control method in a multiconverter prototype.

Global Optimal Cooperative Control of Multiple DC–DC Converter Systems for Dynamic Consensus

In this paper, Linux-RTAI and Matlab/RTW is used to develop real-time control system for fast real-time simulation and implementation of the control algorithm. The hardware of the controller is based on PC/104 cards under Linux-RTAI operating system. The main characteristic of Matlab/RTW is that it can automatically generate the real-time simulation code for many target processors. The combination of Linux-RTAI as a controller platform and Matlab/RTW as control algorithm development environment brings the two main advantages: hard real-time capability and reduced time for control development. Moreover, online signal monitor and parameter modification is realized on the whole structure system. At last, the minimum execution time of real-time control task is determined and the application of real-time control system into flight vehicle is achieved in the work.

Design and implementation of real-time control system using RTAI and Matlab/RTW

A Networked Control Platform Based on mobile phone with android operating system is introduced in this paper. It is a real-time platform to test the realistic performance of the networked control theory. The system adopts a more universal hardware platform: mobile phone, which is compact, low-cost and resourceful. At the same time, to shorten the developing period of control application, the platform makes use of Simulink Coder, which can generate control application from Simulink block diagram automatically. It will free the researcher from implementing the control algorithm in C language. The scheme has many advantages as low-cost, compactness and mobility. You can implement your networked control strategy instantly with only a computer and a mobile phone. In this paper we illustrate the overall framework and details and its potential applications. At last, experiments are implemented.

Guo-Ping Liu

Papers

An optimal learning method for constructing belief rule bases

Disturbance spaces and sup regulators in discrete time

Global Optimal Cooperative Control of Multiple DC–DC Converter Systems for Dynamic Consensus

Design and implementation of real-time control system using RTAI and Matlab/RTW

A real-time Networked Control framework based on mobile phones