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Author: Alexey S. Matveev Publisher: Springer Science & Business Media ISBN: 0817646078 Category : Technology & Engineering Languages : en Pages : 540
Book Description
This book presents a systematic theory of estimation and control over communication networks. It develops a theory that utilizes communications, control, information and dynamical systems theory motivated and applied to advanced networking scenarios. The book establishes theoretically rich and practically important connections among modern control theory, Shannon information theory, and entropy theory of dynamical systems originated in the work of Kolmogorov. This self-contained monograph covers the latest achievements in the area. It contains many real-world applications and the presentation is accessible.
Author: Alexey S. Matveev Publisher: Springer Science & Business Media ISBN: 0817646078 Category : Technology & Engineering Languages : en Pages : 540
Book Description
This book presents a systematic theory of estimation and control over communication networks. It develops a theory that utilizes communications, control, information and dynamical systems theory motivated and applied to advanced networking scenarios. The book establishes theoretically rich and practically important connections among modern control theory, Shannon information theory, and entropy theory of dynamical systems originated in the work of Kolmogorov. This self-contained monograph covers the latest achievements in the area. It contains many real-world applications and the presentation is accessible.
Author: Magdi S. Mahmoud Publisher: Springer ISBN: 3319041533 Category : Technology & Engineering Languages : en Pages : 532
Book Description
This book provides a rigorous framework in which to study problems in the analysis, stability and design of networked control systems. Four dominant sources of difficulty are considered: packet dropouts, communication bandwidth constraints, parametric uncertainty, and time delays. Past methods and results are reviewed from a contemporary perspective, present trends are examined, and future possibilities proposed. Emphasis is placed on robust and reliable design methods. New control strategies for improving the efficiency of sensor data processing and reducing associated time delay are presented. The coverage provided features: · an overall assessment of recent and current fault-tolerant control algorithms; · treatment of several issues arising at the junction of control and communications; · key concepts followed by their proofs and efficient computational methods for their implementation; and · simulation examples (including TrueTime simulations) to provide hands-on experience. In addition to the theoretical coverage, the author describes a number of applications that demonstrate the real-world relevance of this material, and these include: · a servo system; · a triple inverted pendulum; · power system control; · wireless control of a cart with inverted pendulum and wireless servo application with emphasis on controller area networks; and · switched ethernet and wireless area networks. Researchers and graduate students working in networked and distributed control will find this text a useful guide in avoiding and ameliorating common and serious problems with these systems. The increasing prevalence of networks in many fields of engineering will make Control and Estimation Methods over Communication Networks of interest to practitioners with backgrounds in communications, process engineering, robotics, power, automotive and other areas.
Author: Jianying Zheng Publisher: John Wiley & Sons ISBN: 1119885817 Category : Science Languages : en Pages : 292
Book Description
Control over Communication Networks Advanced and systematic examination of the design and analysis of networked control systems and multi-agent systems Control Over Communication Networks provides a systematic and nearly self-contained description of the analysis and design of networked control systems (NCSs) and multi-agent systems (MASs) over imperfect communication networks, with a primary focus on fading channels and delayed channels. The text characterizes the effect of communication channels on the stability and performance of NCSs, and further studies the joint impact of communication channels and network topology on the consensus of MASs. By integrating communication and control theory, the four highly-qualified authors present fundamental results concerning the stabilization of NCSs over power-constrained fading channels and Gaussian finite-state Markov channels, linear-quadratic optimal control of NCSs with random input gains, optimal state estimation with intermittent observations, consensus of MASs with communication delay and packet dropouts, and synchronization of delayed Vicsek models. Simulation results are given in each chapter to demonstrate the developed analysis and synthesis approaches. The references are comprehensive and up-to-date, enabling further study for readers. Topics covered in Control Over Communication Networks include: Basic foundational knowledge, including control theory, communication theory, and graph theory, to enable readers to understand more complex topics The stabilization, optimal control, and remote state estimation problems of linear systems over channels with fading, signal-to-noise constraints, or intermittent measurements Consensus problems of MASs over fading/delayed channels, with directed and undirected communication graphs Control Over Communication Networks provides a valuable unified platform for understanding the analysis and design of NCSs and MASs for researchers, control engineers working on control systems over communication networks, and mechanical engineers working on unmanned systems. Preliminary knowledge of linear system theory and matrix analysis is required.
Author: Qinyuan Liu Publisher: Springer ISBN: 3030001571 Category : Technology & Engineering Languages : en Pages : 222
Book Description
Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
Author: Alessandro Chiuso Publisher: Springer Science & Business Media ISBN: 3642031986 Category : Technology & Engineering Languages : en Pages : 246
Book Description
The paradigm of complexity is pervading both science and engineering, le- ing to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study; the de?nition of powerful tools for modelling, estimation, and control; and the cross-fertilization of di?erent disciplines and approaches. One of the most promising paradigms to cope with complexity is that of networked systems. Complex, dynamical networks are powerful tools to model, estimate, and control many interesting phenomena, like agent coordination, synch- nization, social and economics events, networks of critical infrastructures, resourcesallocation,informationprocessing,controlovercommunicationn- works, etc. Advances in this ?eld are highlighting approaches that are more and more oftenbasedondynamicalandtime-varyingnetworks,i.e.networksconsisting of dynamical nodes with links that can change over time. Moreover, recent technological advances in wireless communication and decreasing cost and size of electronic devices are promoting the appearance of large inexpensive interconnected systems, each with computational, sensing and mobile ca- bilities. This is fostering the development of many engineering applications, which exploit the availability of these systems of systems to monitor and control very large-scale phenomena with ?ne resolution.
Author: Keyou You Publisher: Springer ISBN: 1447166159 Category : Technology & Engineering Languages : en Pages : 326
Book Description
This monograph focuses on characterizing the stability and performance consequences of inserting limited-capacity communication networks within a control loop. The text shows how integration of the ideas of control and estimation with those of communication and information theory can be used to provide important insights concerning several fundamental problems such as: · minimum data rate for stabilization of linear systems over noisy channels; · minimum network requirement for stabilization of linear systems over fading channels; and · stability of Kalman filtering with intermittent observations. A fundamental link is revealed between the topological entropy of linear dynamical systems and the capacities of communication channels. The design of a logarithmic quantizer for the stabilization of linear systems under various network environments is also extensively discussed and solutions to many problems of Kalman filtering with intermittent observations are demonstrated. Analysis and Design of Networked Control Systems will interest control theorists and engineers working with networked systems and may also be used as a resource for graduate students with backgrounds in applied mathematics, communications or control who are studying such systems.
Author: Graham Goodwin Publisher: Springer Science & Business Media ISBN: 184628063X Category : Technology & Engineering Languages : en Pages : 415
Book Description
Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control. - Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control. - New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.
Author: Miguel Calvo Fullana Publisher: ISBN: Category : Languages : en Pages : 155
Book Description
Long thought to be an unattainable ambition, self-sustainable and green-powered wireless networks are rapidly becoming a reality. This is driven by recent hardware improvements in what is known as Energy Harvesting (EH). This technology makes it possible for devices to scavenge energy from the environment, be it from solar, thermal, kinetic or other sources. One area where this idea has shown considerable promise is in Wireless Sensor Networks (WSNs). These networks consist of inexpensive, small and low-power sensors, making them a prime candidate for the deployment of energy harvesting technologies. However, when devices are equipped with these new technologies, the intermittent and random nature of the energy supply makes it necessary to take a new approach to the design of communication policies. It is the main objective of this dissertation to study, evaluate and solve problems that arise in wireless sensor networks with energy harvesting capabilities. The nature of the problems studied can be grouped into two categories. On one hand, we address problems of estimation, which arise when EH sensors collect measurements of some physical phenomenon. On the other hand, we study problems of control, which emerge when EH sensors are part of a dynamical system. First, we address the estimation problem in EH-powered wireless sensor networks. We approach the problem in a coded manner, where sensors transit their measurements to a Fusion Center (FC) digitally. We consider a point-to-point sensor-to-FC communication scenario, where the measured sources are time-correlated. We derive the transmission policies minimizing the average reconstruction distortion for both delay-constrained and delay-tolerant scenarios. Next, we study the case in which multiple sensors collaborate in the estimation of a source. In this problem, only a limited number of sensors can transmit simultaneously, due to the reduced number of sensor-to-FC channels. The goal is to jointly design the power allocation and sensor selection policies that minimize the average reconstruction distortion. However, this problem is not convex. To overcome this, we propose two policies, an iterative joint policy that finds a stationary solution of the original problem; and a heuristic separate policy in which the optimal power allocation is given by a convex optimization problem. Both policies are related to each other in the fact that the latter can be used as an initialization point of the former iterative policy. Further, as an alternative approach to the problem, we have also proposed the use of sparsity-promoting techniques. Then, we turn our attention to problems of a control nature in energy harvesting communication networks. First, we study the problem of jointly routing and scheduling traffic in a communication network with EH-powered nodes. The routing-scheduling policies proposed act as a generalization the stochastic backpressure policies to energy harvesting communication networks. Specifically, we provide two policies, an easy to compute policy and a randomized policy with improved stability guarantees. Furthermore, we ensure that given sustainable data and energy arrivals, the proposed policies stabilize the data queues over all the network. Finally, we study a more general control problem in which energy harvesting sensors share a wireless medium over which they transmit measurements to their respective controllers. Since the medium is shared, simultaneous transmissions might lead to packet collisions. To overcome this issue, we propose the use of a random access scheduling policy. Furthermore, we show that given sustainable energy and stability requirements, the policies stabilize all the control systems while satisfying the energy harvesting constraints.
Author: Alexey S. Matveev
Author: Alexey S. Matveev
Author: Magdi S. Mahmoud
Author: Jianying Zheng
Author: Songfu Cai
Author: Qinyuan Liu
Author: Alessandro Chiuso
Author: Keyou You
Author: Graham Goodwin
Author: Miguel Calvo Fullana
Author: Veerachai Malyavej