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Classical social choice theory relies heavily on the assumption that all individuals have fixed preference orderings. This highly original book presents a new theory of social preferences that explicitly accounts for important social phenomena such as coordination, compromise, negotiation and altruism. Drawing on cybernetics and network theory, it extends classical social choice theory by constructing a framework that allows for dynamic preferences that are modulated by the situation-dependent social influence that they exert on each other. In this way the book shows how members of a social network may modulate their preferences to account for social context. This important expansion of social choice theory will be of interest to readers in a wide variety of disciplines, including economists and political scientists concerned with choice theory as well as computer scientists and engineers working on network theory.
Social choice --- System theory --- System analysis --- Systems, Theory of --- Systems science --- Science --- Mathematical models. --- Social aspects --- Philosophy
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Managerial economics. --- Social sciences --- System theory. --- Systems, Theory of --- Systems science --- Science --- Business economics --- Economics --- Industrial management --- Management --- Microeconomics --- Mathematical models. --- Philosophy
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This volume collects a selected number of papers presented at the International Workshop on Operator Theory and its Applications (IWOTA) held in July 2014 at Vrije Universiteit in Amsterdam. Main developments in the broad area of operator theory are covered, with special emphasis on applications to science and engineering. The volume also presents papers dedicated to the eightieth birthday of Damir Arov and to the sixty-fifth birthday of Leiba Rodman, both leading figures in the area of operator theory and its applications, in particular, to systems theory.
Mathematics. --- Matrix theory. --- Algebra. --- Operator theory. --- System theory. --- Linear and Multilinear Algebras, Matrix Theory. --- Operator Theory. --- Systems Theory, Control. --- Operator theory --- Function spaces --- Systems theory. --- Functional analysis --- Systems, Theory of --- Systems science --- Science --- Mathematics --- Mathematical analysis --- Philosophy
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A system can describe what we see (the solar system), operate a computer (Windows 10), or be made on a page (the fourteen engineered lines of a sonnet). In this book, Clifford Siskin shows that system is best understood as a genre -- a form that works physically in the world to mediate our efforts to understand it. Indeed, many Enlightenment authors published works they called "system" to compete with the essay and the treatise. Drawing on the history of system from Galileo's "message from the stars" and Newton's "system of the world" to today's "computational universe," Siskin illuminates the role that the genre of system has played in the shaping and reshaping of modern knowledge. Previous engagements with systems have involved making them, using them, or imagining better ones. Siskin offers an innovative perspective by investigating system itself. He considers the past and present, moving from the "system of the world" to "a world full of systems." He traces the turn to system in the seventeenth and eighteenth centuries, and describes this primary form of Enlightenment as a mediator of political, cultural, and social modernity -- pointing to the moment when people began to "blame the system" for working both too well ("you can't beat the system") and not well enough (it always seems to "break down"). Throughout, his touchstones are: what system is and how it has changed; how it has mediated knowledge; and how it has worked in the world.
System theory --- Knowledge, Theory of --- Interdisciplinary approach to knowledge --- Methodology --- Science and the humanities --- Epistemology --- Theory of knowledge --- Philosophy --- Psychology --- Systems, Theory of --- Systems science --- Science --- Galilei, Galileo, --- Galileo Galilei --- Galilée --- Knowledge --- Science. --- E-books --- Galilei, Galileo
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System theory. --- System analysis. --- Decision making --- Problem solving --- Methodology --- Psychology --- Executive functions (Neuropsychology) --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Systems, Theory of --- Systems science --- Science --- Mathematical models. --- Philosophy
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The key attribute of a Fault Tolerant Control (FTC) system is its ability to maintain overall system stability and acceptable performance in the face of faults and failures within the feedback system. In this book Integral Sliding Mode (ISM) Control Allocation (CA) schemes for FTC are described, which have the potential to maintain close to nominal fault-free performance (for the entire system response), in the face of actuator faults and even complete failures of certain actuators. Broadly an ISM controller based around a model of the plant with the aim of creating a nonlinear fault tolerant feedback controller whose closed-loop performance is established during the design process. The second approach involves retro-fitting an ISM scheme to an existing feedback controller to introduce fault tolerance. This may be advantageous from an industrial perspective, because fault tolerance can be introduced without changing the existing control loops. A high fidelity benchmark model of a large transport aircraft is used to demonstrate the efficacy of the FTC schemes. In particular a scheme based on an LPV representation has been implemented and tested on a motion flight simulator.
Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Sliding mode control. --- Fault tolerance (Engineering) --- Fault tolerant design --- Fault withstandability (Engineering) --- Reliability (Engineering) --- Automatic control --- Systems theory. --- Control and Systems Theory. --- Systems Theory, Control. --- Control engineering. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Philosophy
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Beginning with a concise introduction to the theory of mean-field games (MFGs), this book presents the key elements of the regularity theory for MFGs. It then introduces a series of techniques for well-posedness in the context of mean-field problems, including stationary and time-dependent MFGs, subquadratic and superquadratic MFG formulations, and distinct classes of mean-field couplings. It also explores stationary and time-dependent MFGs through a series of a-priori estimates for solutions of the Hamilton-Jacobi and Fokker-Planck equation. It shows sophisticated a-priori systems derived using a range of analytical techniques, and builds on previous results to explain classical solutions. The final chapter discusses the potential applications, models and natural extensions of MFGs. As MFGs connect common problems in pure mathematics, engineering, economics and data management, this book is a valuable resource for researchers and graduate students in these fields.
Mathematics. --- Game theory. --- System theory. --- Economic theory. --- Game Theory, Economics, Social and Behav. Sciences. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Systems Theory, Control. --- Mean field theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Many-body problem --- Statistical mechanics --- Systems theory. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Math --- Science --- Systems, Theory of --- Systems science --- Philosophy
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This book presents recent research work on stochastic jump hybrid systems. Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems. Some sufficient conditions are first established respectively for the stability and performances of those kinds of stochastic jump hybrid systems in terms of solution of linear matrix inequalities (LMIs). Based on the derived analysis conditions, the filtering and control problems are addressed. The book presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems. The contents can be divided into two parts: the first part is focused on robust filter design problem, while the second part is put the emphasis on robust control problem. These methodologies provide a framework for stability and performance analysis, robust controller design, and robust filter design for the considered systems. Solutions to the design problems are presented in terms of LMIs. The book is a timely reflection of the developing area of filtering and control theories for Markovian jump hybrid systems with various kinds of imperfect information. It is a collection of a series of latest research results and therefore serves as a useful textbook for senior and/or graduate students who are interested in knowing 1) the state-of-the-art of linear filtering and control areas, and 2) recent advances in stochastic jump hybrid systems. The readers will also benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Jump processes. --- Hybrid systems. --- Dynamic systems, Hybrid --- Hybrid dynamic systems --- Processes, Jump --- System theory --- Markov processes --- Systems theory. --- Control and Systems Theory. --- Systems Theory, Control. --- Control engineering. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Philosophy --- Automatic control.
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This book focuses on the analysis of cancer dynamics and the mathematically based synthesis of anticancer therapy. It summarizes the current state-of-the-art in this field and clarifies common misconceptions about mathematical modeling in cancer. Additionally, it encourages closer cooperation between engineers, physicians and mathematicians by showing the clear benefits of this without stating unrealistic goals. Development of therapy protocols is realized from an engineering point of view, such as the search for a solution to a specific control-optimization problem. Since in the case of cancer patients, consecutive measurements providing information about the current state of the disease are not available, the control laws are derived for an open loop structure. Different forms of therapy are incorporated into the models, from chemotherapy and antiangiogenic therapy to immunotherapy and gene therapy, but the class of models introduced is broad enough to incorporate other forms of therapy as well. The book begins with an analysis of cell cycle control, moving on to control effects on cell population and structured models and finally the signaling pathways involved in carcinogenesis and their influence on therapy outcome. It also discusses the incorporation of intracellular processes using signaling pathway models, since the successful treatment of cancer based on analysis of intracellular processes, might soon be a reality. It brings together various aspects of modeling anticancer therapies, which until now have been distributed over a wide range of literature. Written for researchers and graduate students interested in the use of mathematical and engineering tools in biomedicine with special emphasis on applications in cancer diagnosis and treatment, this self-contained book can be easily understood with only a minimal basic knowledge of control and system engineering methods as well as the biology of cancer. Its interdisciplinary character and the authors’ extensive experience in cooperating with clinicians and biologists make it interesting reading for researchers from control and system engineering looking for applications of their knowledge. Systems and molecular biologists as well as clinicians will also find new inspiration for their research.
Drug interactions. --- Cancer --- Treatment. --- Cancer therapy --- Cancer treatment --- Therapy --- Systems theory. --- Oncology. --- Cell cycle. --- Mathematical and Computational Biology. --- Systems Theory, Control. --- Cancer Research. --- Cell Cycle Analysis. --- Drug Resistance. --- Interactions, Drug --- Drugs --- Mitotic cycle --- Nuclear cycle (Cytology) --- Biological rhythms --- Tumors --- Side effects --- Biomathematics. --- System theory. --- Cancer research. --- Drug resistance. --- Resistance to drugs --- Pharmacology --- Cancer research --- Systems, Theory of --- Systems science --- Science --- Biology --- Mathematics --- Philosophy
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This monograph presents a systematic top-down approach to distributed control synthesis of discrete-event systems (DES). The approach is called supervisor localization; its essence is the allocation of external supervisory control action to individual component agents as their internal control strategies. The procedure is: first synthesize a monolithic supervisor, to achieve globally optimal and nonblocking controlled behavior, then decompose the monolithic supervisor into local controllers, one for each agent. The collective behavior of the resulting local controllers is identical to that achieved by the monolithic supervisor. The basic localization theory is first presented in the Ramadge–Wonham language-based supervisory control framework, then demonstrated with distributed control examples of multi-robot formations, manufacturing systems, and distributed algorithms. An architectural approach is adopted to apply localization to large-scale DES; this yields a heterarchical localization procedure, which is also demonstrated with benchmark examples. Moreover, a state-based framework, state-tree structures, is exploited for efficient computation of localization. Finally localization is extended to timed DES, which addresses distributed control synthesis with temporal specifications. The authors’ TCT software and sourcecode will help the reader to reproduce the results demonstrated in the examples. Academic researchers and graduate students interested in discrete-event and distributed systems and control will find this book an instructive resource. It will also be useful for researchers in manufacturing, supply-chain and logistics and practitioners in related industries.
Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Engineering. --- Production management. --- System theory. --- Control engineering. --- Control. --- Systems Theory, Control. --- Operations Management. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Systems, Theory of --- Systems science --- Science --- Manufacturing management --- Industrial management --- Construction --- Industrial arts --- Technology --- Philosophy --- Systems theory. --- Control and Systems Theory. --- Automatic control.
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