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

Data Mining Practical Machine Learning Tools and Techniques

This handbook looks to provide academics and students with a comprehensive and holistic understanding of the phenomenon of innovation. Innovation spans a number of fields within the social sciences and humanities: Management, Economics, Geography, Sociology, Politics, Psychology, and History. Consequently, the rapidly increasing body of literature on innovation is characterized by a multitude of perspectives based on, or cutting across, existing disciplines and specializations. Scholars of innovation can come from such diverse starting points that much of this literature can be missed, and so constructive dialogues missed. The editors of The Oxford Handbook of Innovation have carefully selected and designed twenty-one contributions from leading academic experts within their particular field, each focusing on a specific aspect of innovation. These have been organized into four main sections, the first of which looks at the creation of innovations, with particular focus on firms and networks. Section Two provides an account of the wider systematic setting influencing innovation and the role of institutions and organizations in this context. Section Three explores some of the diversity in the working of innovation over time and across different sectors of the economy, and Section Four focuses on the consequences of innovation with respect to economic growth, international competitiveness, and employment. An introductory overview, concluding remarks, and guide to further reading for each chapter, make this handbook a key introduction and vital reference work for researchers, academics, and advanced students of innovation. Contributors to this volume - Jan Fagerberg, University of Oslo William Lazonick, INSEAD Walter W. Powell, Stanford University Keith Pavitt, SPRU Alice Lam, Brunel University Keith Smith, INTECH Charles Edquist, Linkoping David Mowery, University of California, Berkeley Mary O'Sullivan, INSEAD Ove Granstrand, Chalmers Bjorn Asheim, University of Lund Rajneesh Narula, Copenhagen Business School Antonello Zanfei, Urbino Kristine Bruland, University of Oslo Franco Malerba, University of Bocconi Nick Von Tunzelmann, SPRU Ian Miles, University of Manchester Bronwyn Hall, University of California, Berkeley Bart Verspagen , ECIS Francisco Louca, ISEG Manuel M. Godinho, ISEG Richard R. Nelson, Mario Pianta, Urbino Bengt-Ake Lundvall, Aalborg

The Oxford Handbook of Innovation

Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.

Fundamentals of Queueing Theory

Fixed speed induction generator (FSIG)-based wind farms have poor low voltage ride through (LVRT) capacity and poor power quality and stability due to insufficient reactive power support during disturbances. Flexible AC transmission systems (FACTS) devices such as static synchronous compensator (STATCOM) can improve the LVRT capacity and power quality and stability of FSIG-based wind energy conversion system (WECS). Proportional and integral (PI) controllers are often used to control the operation of the STATCOM. However, since WECS is highly non-linear and subject to various disturbances, the PI-controlled STATCOM cannot provide optimal performance for different operating points. More robust controllers such as controllers based on fuzzy logic approach are required for the STATCOM to provide adequate dynamic voltage control and to improve power quality and stability of the WECS. This paper presents the design of fuzzy logic-based controller of a STATCOM for improving the power quality and stability of a ...

Improving power quality and stability of wind energy conversion system with fuzzy-controlled STATCOM

In this study, a new distributed fault estimation observer (DFEO) design method is proposed based on unknown input observer (UIO) for interconnected systems with external disturbances. The coupling terms among interconnected subsystems are utilised to construct DFEO. At the same time, according to the characteristics of UIO, external interference is completely decoupled to improve the robustness of fault estimation. Furthermore, the authors propose a multi-constraint design with robust H
 ∞
 and regional pole configurations to analyse and design gain matrices of DFEO, which can be calculated using linear matrix inequalities. Furthermore, asymptotic estimation of sensor faults is discussed with the help of DFEO. Finally, a simulation of the interconnected system is provided to illustrate the effectiveness of the proposed technique.

https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5754

Distributed fault estimation design of interconnected systems with external disturbances

The paper studies the problem of event-triggered H 2 / H ∞ model predictive control (MPC) for nonlinear networked control systems (NCSs) with bandwidth limitation and packet loss. The nonlinear system is described by the interval type-2 Takagi-Sugeno (IT-2 T-S) fuzzy model. To reduce the communication bandwidth utilization, an event-triggered communication scheme is presented to determine the transmission of the latest sampled state. The unreliable networks with packet loss are described by stochastic variables which satisfy Bernoulli binomial distribution. This paper aims at designing a fuzzy predictive controller to make the resulting closed-loop system stochastically stable with H 2 / H ∞ performance satisfied. An online optimization MPC problem is formulated to optimize a H 2 performance index while the H∞ performance index is prescribed. We provide a numerical example to illustrate the validity of the presented technique.

Model predictive control under event-triggered communication scheme for nonlinear networked systems

Control and Filtering for Semi-Markovian Jump Systems

The problem on chaos synchronization for a class of chaotic system is addressed. Based on impulsive control theory and by constructing a novel Lyapunov functional, new impulsive synchronization strategies are presented and possess more practical application value. Finally some typical numerical simulation examples are included to demonstrate the effectiveness of the theoretical results.

/pdf/on-the-impulsive-synchronization-control-for-a-class-of-1emf0ptbwk.pdf

Peng Shi

Papers

Improving power quality and stability of wind energy conversion system with fuzzy-controlled STATCOM

Distributed fault estimation design of interconnected systems with external disturbances

Model predictive control under event-triggered communication scheme for nonlinear networked systems

Control and Filtering for Semi-Markovian Jump Systems

On the Impulsive Synchronization Control for a Class of Chaotic Systems