Download or read book Submodularity in Dynamics and Control of Networked Systems written by Andrew Clark and published by Springer. This book was released on 2015-12-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems. In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems. The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.

Download or read book Asynchronous Control for Networked Systems written by María Guinaldo Losada and published by Springer. This book was released on 2015-09-08 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sheds light on networked control systems; it describes different techniques for asynchronous control, moving away from the periodic actions of classical control, replacing them with state-based decisions and reducing the frequency with which communication between subsystems is required. The text focuses specially on event-based control. Split into two parts, Asynchronous Control for Networked Systems begins by addressing the problems of single-loop networked control systems, laying out various solutions which include two alternative model-based control schemes (anticipatory and predictive) and the use of H2/H∞ robust control to deal with network delays and packet losses. Results on self-triggering and send-on-delta sampling are presented to reduce the need for feedback in the loop. In Part II, the authors present solutions for distributed estimation and control. They deal first with reliable networks and then extend their results to scenarios in which delays and packet losses may occur. The novel results presented in Asynchronous Control for Networked Systems are transmitted in a concise and clear style supported by simulation and experimental examples. Some applications are also provided. Academic researchers and graduate students investigating control theory, control engineering and computer communications systems can use this monograph to learn how asynchronous control helps tackle the problems of networked systems in centralized and distributed schemes. Control practitioners at work in power systems, vehicle coordination and traffic networks will also find this book helpful in improving the performance of their systems.

Download or read book Model Based Control of Networked Systems written by Eloy Garcia and published by Springer. This book was released on 2014-08-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.

Download or read book Estimation and Control of Large Scale Networked Systems written by Tong Zhou and published by Butterworth-Heinemann. This book was released on 2018-06-13 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Readers will find the necessary mathematical knowledge for studying large-scale networked systems, as well as a systematic description of the current status of this field, the features of these systems, difficulties in dealing with state estimation and controller design, and major achievements. Numerical examples in chapters provide strong application backgrounds and/or are abstracted from actual engineering problems, such as gene regulation networks and electricity power systems. This book is an ideal resource for researchers in the field of systems and control engineering. - Provides necessary mathematical knowledge for studying large scale networked systems - Introduces new features for filter and control design of networked control systems - Summarizes the most recent results on structural identification of a networked system, attack identification and prevention

Download or read book Tracking Control of Networked Systems via Sliding Mode written by Meng Li and published by Springer Nature. This book was released on 2021-10-29 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on the research methods of networked control systems via sliding mode. The problems with network disturbances, network induced delay, out-of-sequence and packet loss, and network attacks are studied in detail. The content studied in this book is introduced in detail and is verified by simulation or experiment. It is especially suitable for readers who are interested in learning the control scheme of networked systems. This book can benefit researchers, engineers, and students in related fields such as electrical, control, automation, and cyber security.

Download or read book Networked Control Systems written by Alberto Bemporad and published by Springer. This book was released on 2010-10-15 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book nds its origin in the WIDE PhD School on Networked Control Systems, which we organized in July 2009 in Siena, Italy. Having gathered experts on all the aspects of networked control systems, it was a small step to go from the summer school to the book, certainly given the enthusiasm of the lecturers at the school. We felt that a book collecting overviewson the important developmentsand open pr- lems in the eld of networked control systems could stimulate and support future research in this appealing area. Given the tremendouscurrentinterests in distributed control exploiting wired and wireless communication networks, the time seemed to be right for the book that lies now in front of you. The goal of the book is to set out the core techniques and tools that are ava- able for the modeling, analysis and design of networked control systems. Roughly speaking, the book consists of three parts. The rst part presents architectures for distributed control systems and models of wired and wireless communication n- works. In particular, in the rst chapter important technological and architectural aspects on distributed control systems are discussed. The second chapter provides insight in the behavior of communication channels in terms of delays, packet loss and information constraints leading to suitable modeling paradigms for commu- cation networks.

Download or read book Network Based Analysis of Dynamical Systems written by Dániel Leitold and published by Springer Nature. This book was released on 2020-01-13 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can stem from the existence of specific motifs in the network representation. Over the last decade, network science has become a widely applied methodology for the analysis of dynamical systems. Representing the system as a mathematical graph allows several network-based methods to be applied, and centrality and clustering measures to be calculated in order to characterise and describe the behaviours of dynamical systems. The applicability of the algorithms developed here is presented in the form of well-known benchmark examples. The algorithms are supported by more than 50 figures and more than 170 references; taken together, they provide a good overview of the current state of network science-based analysis of dynamical systems, and suggest further reading material for researchers and students alike. The files for the proposed toolbox can be downloaded from a corresponding website.

Download or read book Semi autonomous Networks written by Airlie Chapman and published by . This book was released on 2013 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this dissertation is to explore the analysis and design of controlled networked dynamic systems - dubbed semi-autonomous networks. This work approaches the problem of effective control of semi-autonomous networks from three fronts: protocols which are run on individual agents in the network; the network interconnection topology design; and efficient modeling of these often large-scale networks. Central to our analysis is the examination of the role of network structure in the system dynamics. Exploiting this relationship, we extended the popular consensus protocol to advection and nonlinear consensus. Reformulating various network measures in terms of the network topology provided a method to adaptively improve performance by rewiring and reweighting the network topology. The network redesign algorithms were supported by a game-theoretic and an online learning regret analysis. We formulated a novel Cartesian product composition and decomposition method, providing stability and controllability guarantees for large-scale networks based on its smaller Cartesian factors. Abstracting away the specifics of the protocol, we characterized the controllability of a network based purely on the network interconnections alone using weak and strong structural controllability.

Download or read book Theoretical and Practical Frameworks for Agent Based Systems written by Zhang, Yu and published by IGI Global. This book was released on 2012-05-31 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many everyday dilemmas existing in the real world are complex and difficult to solve or fix, ranging from tax evasion to dispatching taxis to scheduling patient visits in hospitals, and much more. Within these complicated problems, however, lies the potential to be simplified or solved by intelligent agents and multi-agent systems. Theoretical and Practical Frameworks for Agent-Based Systems tackles these real problems and many more, bringing the theoretical research of intelligent agents to researchers and practitioners in academia, government, and innumerable industries. Professionals and experts in every field ranging from education to healthcare and beyond will find this reference to be essential in the understanding of agents, and researchers currently working in the field of intelligent agents will benefit from this exciting examination of practical applications.

Download or read book Robust Distributed Control of Networked Systems with Linear Programming Objectives written by Dean Richert (M.) and published by . This book was released on 2014 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pervasiveness of networked systems in modern engineering problems has stimulated the recent research activity in distributed control. Under this paradigm, individual agents, having access to partial information and subject to real-world disturbances, locally interact to achieve a common goal. Here, we consider network objectives formulated as a linear program where the individual agents' states correspond to components of the decision vector in the optimization problem. To this end, the first contribution we make is the development of a robust distributed continuous-time dynamics to solve linear programs. We systematically argue that the robustness properties we establish for this dynamics are as strong as can be expected for linear programming algorithms. The next contribution we make is the design of a distributed event-triggered communication protocol for the aforementioned algorithm. We establish various state-based rules for agents to determine when they should broadcast their state, allowing us to relax the need for continual information flow between agents. Turning our attention to a specific network control problem for which our algorithm can be applied, we consider distributed bargaining in exchange networks. In this scenario, agents autonomously form coalitions of size two (called a match) and agree on how to split a payoff between them. We emphasize fair and stable bargaining outcomes, whereby matched agents benefit equally from the collaboration and cannot improve their allocation by unilaterally deviating from the outcome. We synthesize distributed algorithms that converge to such outcomes. Finally, we focus on cooperation-inducing mechanisms to ensure that agents in a bargaining outcome effectively realize the payoff they were promised. As an illustrative example, we study how to allocate the leader role in unmanned aerial vehicle (UAV) formation pairs. We show how agents can strategically decide when to switch from leading to following in the formation to ensure that the other UAV cooperates. Throughout the thesis, we emphasize the development of provably correct algorithms, making use of tools from the controls systems community such as Lyapunov analysis and the Invariance Principle. Simulations in distributed optimal control, multi-agent task assignment, channel access control in wireless communication networks, and UAV formations illustrate our results.

Download or read book Complex Networks Their Applications XII written by Hocine Cherifi and published by Springer Nature. This book was released on with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book System Structure and Control 2004 written by Sabine Mondie and published by Elsevier. This book was released on 2005-05-11 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamic Networked Systems written by Hua Wang and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Social Networks Models of Information Influence Control and Confrontation written by Alexander G. Chkhartishvili and published by Springer. This book was released on 2018-12-30 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation. Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars). This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.

Download or read book Consensus Over Networked Dynamical Systems written by Mathias Hudoba de Badyn and published by . This book was released on 2019 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation focuses on three main aspects of control theory applied to networked dynamical systems -- how to control networked systems, how to design networks to facilitate control and estimation for such systems, and how to reason about interacting with them. We examine how network symmetries and how the distribution of cooperative and antagonistic interactions facilitate control of the seminal consensus protocol, as well as measures that indicate how well a network facilitates consensus. Various tools for designing complex networks are developed in this dissertation, including decentralized update schemes for improving network edge weights and the time scales on which the agents in the network operate. The crux of the analysis of these algorithms lies in a beautiful connection between electrical network theory, the paradigm of series-parallel networks, and multi-agent consensus. Lastly, we examine how to design feedforward and feedback controllers for consensus networks that have state-dependent edge switching. The key tool is a continuum approximation of the agent dynamics, which allows for an optimal transport approach for feedforward control, and a density gradient feedback scheme.

Download or read book Optimization in Science and Engineering written by Themistocles M. Rassias and published by Springer. This book was released on 2014-05-29 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization in Science and Engineering is dedicated in honor of the 60th birthday of Distinguished Professor Panos M. Pardalos. Pardalos’s past and ongoing work has made a significant impact on several theoretical and applied areas in modern optimization. As tribute to the diversity of Dr. Pardalos’s work in Optimization, this book comprises a collection of contributions from experts in various fields of this rich and diverse area of science. Topics highlight recent developments and include: Deterministic global optimization Variational inequalities and equilibrium problems Approximation and complexity in numerical optimization Non-smooth optimization Statistical models and data mining Applications of optimization in medicine, energy systems, and complex network analysis This volume will be of great interest to graduate students, researchers, and practitioners, in the fields of optimization and engineering.

Download or read book Robust Coordination and Control of Networked Systems with Intermittent Communication written by Sean A. Phillips and published by . This book was released on 2018 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked systems characterize many modern real-world interactions, ranging from the internet and social media networks, to communication networks and power distribution networks, to interconnected neuron and biological models. For such networks, agents in the network utilize information from its neighbors to achieve a common task, however, in practical applications the information available to each agent may not be continuously available. Moreover, such information may be subjected to environmental perturbations. Therefore, in this dissertation, robust coordination and control algorithms are studied for networked systems when the coupling between them are naturally intermittent. Namely, coordination in terms of synchronization and desynchronization for different interconnected networked systems are analyzed. The intermittency of the communication structure implies some impulsive instances in the dynamics, therefore, for each case, a hybrid systems approach is utilized to model and analyze the dynamics of such systems. Namely, results for set stability using Lyapunov stability and invariance principles are utilized to study the dynamical properties of the coordination algorithms. This dissertation is divided into two enveloping parts: 1) controller design for the synchronization of continuous-time agents where the information transmitted between the agents is intermittent; 2) a dynamical study of desynchronization in impulse-coupled oscillators with some resulting applications. More specifically, the first part considers a distributed controller design for the case when each agent has linear time-invariant continuous-time dynamics, however, the communication triggering information transfer between agents occurs intermittently. For this case, the robust exponential stability of the set characterizing synchronization in continuous linear time-invariant systems when information from neighbors is received impulsively at isolated time instances. The second part considers the case of a network of impulse-coupled oscillators. Impulse coupled oscillators are systems which evolve continuously, until a threshold is reached, at which point, releases an impulse and affects neighboring agents. Due to the oscillatory nature of such systems, under certain parameters the times at which impulses occur separate in time, this action is referred to as desynchronization. The set of points describing desynchronization is characterized and recast as a set stabilization problem, it is shown that the desynchronization set is robustly asymptotically stable. Utilizing recent results for impulse coupled oscillators, applications to the study of dynamical behavior of spiking neurons and to frequency rendezvous for communication systems are given.