This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. Owing to the existing antagonistic interactions, signed networks exhibit a variety of disagreement behaviors subject to different topology conditions, especially in comparison with commonly considered unsigned networks involving only cooperative interactions among agents. Since signed networks are generally adopted to describe the dynamics of some practical network systems, they have attracted much attention in many areas, such as biology, sociology, economics, and politics. By focusing on agents with the first-order linear dynamics, the book establishes the systematic behavior analysis frameworks for signed networks, under which diverse disagreement behaviors have been disclosed, including both convergence and fluctuation behaviors, regardless of static or dynamic network topologies. In particular, a class of dynamic signed networks has been introduced, together with the associated dynamic distributed controller design and disagreement behavior analysis of agents. This book is intended for undergraduate and graduate students, engineers, and researchers who are interested in control of network systems, multi-agent systems, social networks, and so on.
This book offers an elementary and self-contained introduction to many fundamental issues concerning approximate solutions of operator equations formulated in an abstract Banach space setting, including important topics such as solvability, computational schemes, convergence, stability and error estimates. The operator equations under investigation include various linear and nonlinear types of ordinary and partial differential equations, integral equations, and abstract evolution equations, which are frequently involved in applied mathematics and engineering applications.Each chapter contains well-selected examples and exercises, for the purposes of demonstrating the fundamental theories and methods developed in the text and familiarizing the reader with functional analysis techniques useful for numerical solutions of various operator equations.
This volume examines the theoretical and practical needs on the subject of multibody system dynamics with emphasis on flexible systems and engineering applications. lt focuses on developing an all purpose algorithm for the dynamic simulation of flexible tree-like systems making use of matrix representation at all levels. The book covers new theories with engineering applications involved in broad fields which include; civil engineering, aerospace and robotics, as well as general and mechanical engineering. The applications include high temperature conditions, time variant contact conditions, biosystem analysis, vibration minimization and control.
The Chinese Impact upon English Renaissance Literature examines how English writers responded to the cultural shock caused by the first substantial encounter between China and Western Europe. Author Mingjun Lu explores how Donne and Milton came to be aware of England’s participation in ’the race for the Far East’ launched by Spain and Portugal, and how this new global awareness shaped their conceptions of cultural pluralism. Drawing on globalization theory, a framework that proves useful to help us rethink the literary world of Renaissance England in terms of global maritime networks, Lu proposes the concept of ’liberal cosmopolitanism’ to study early modern English engagement with the other. The advanced culture of the Chinese, Lu argues, inculcated in Donne and Milton a respect for difference and a cosmopolitan curiosity that ultimately led both authors to reflect in profound and previously unexamined ways upon their Eurocentric and monotheistic assumptions. The liberal cosmopolitan model not only opens Renaissance literary texts to globalization theory but also initiates a new way of thinking about the early modern encounter with the other beyond the conventional colonial/postcolonial, nationalist, and Orientalist frameworks. By pushing East-West contact back to the period in 1570s-1670s, Lu’s work uncovers some hitherto unrecognized Chinese elements in Western culture and their shaping influence upon English literary imagination.
The book offers you a solid understanding of medical automation principles and the latest applications in the field. You discover how computers and devices can be used to schedule personnel and services, and help maintain a just-in-time, lean, and more affordable medical services. You learn how to automate your pharmacy and laboratory services for maximum profit and minimum turnaround time. Moreover, this forward-looking book helps you determine how nanotechnology is evolving to solve difficult medical challenges.
The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system. More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented. As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a method with convex optimization and natural cubic splines, are proposed for the non-vehicle-following scenario (e.g., free driving, lane change, obstacle avoidance), while the planning method based on vehicle-following kinematics and the model predictive control (MPC) is adopted for the car-following scenario. We introduce two robust tracking methods for the trajectory following. The first one, based on nonlinear vehicle longitudinal or path-preview dynamic systems, utilizes the adaptive sliding mode control (SMC) law which can compensate for uncertainties to follow the speed or path profiles. The second one is based on the five-degrees-of-freedom nonlinear vehicle dynamical system that utilizes the linearized time-varying MPC to track the speed and path profile simultaneously. Toward human-automation cooperative driving systems, we introduce two control strategies to address the control authority and conflict management problems between the human driver and the automated driving systems. Driving safety field and game theory are utilized to propose a game-based strategy, which is used to deal with path conflicts during obstacle avoidance. Driver's driving intention, situation assessment, and performance index are employed for the development of the fuzzy-based strategy. Multiple case studies and demos are included in each chapter to show the effectiveness of the proposed approach. We sincerely hope the contents of this short book provide certain theoretical guidance and technical supports for the development of intelligent vehicle technology.
This book seeks to construct and establish the metaphysics of Chinese morals as a formal and independent branch of learning by abstracting and systemizing the universal principles presupposed by the primal virtues and key imperatives in Daoist and Confucian ethics.
This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research.
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