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  1. Homogeneous Semantics Preserving Deployments of Heterogeneous Networks of Embedded Systems

    Tagged systems provide a denotational semantics for embedded systems. A heterogeneous network of embedded systems can be modeled mathematically by a...
    Aaron D. Ames, Alberto Sangiovanni-Vincentelli, Shankar Sastry in Networked Embedded Sensing and Control
    Chapter
  2. Distributed Kalman Filtering and Sensor Fusion in Sensor Networks

    The problem of distributed Kalman filtering (DKF) for sensor networks is one of the most fundamental distributed estimation problems for scalable...
    Chapter
  3. Applications of Connectivity Graph Processes in Networked Sensing and Control

    This paper concerns the problem of controlling mobile nodes in a network in such a way that the resulting graph-encoding of the inter-node...
    Abubakr Muhammad, Meng Ji, Magnus Egerstedt in Networked Embedded Sensing and Control
    Chapter
  4. Delay-Reliability Tradeoffs in Wireless Networked Control Systems

    Networked control systems (NCS) require the data to be communicated timely and reliably. However, random transmission errors incurred by wireless...
    Min **e, Martin Haenggi in Networked Embedded Sensing and Control
    Chapter
  5. Plenary Talk: The Role of Information Theory in Communication Constrained Control Systems

    Communication is an important component of distributed, networked, and cooperative control systems. In most current systems the communication aspects...
    Chapter
  6. Simulation of Large-Scale Networked Control Systems Using GTSNetS

    This paper presents a simulation framework for distributed control using wireless sensor networks. The proposed framework is an extension of the...
    ElMoustapha Ould-Ahmed-Vall, Bonnie S. Heck, George F. Riley in Networked Embedded Sensing and Control
    Chapter
  7. Belief Consensus and Distributed Hypothesis Testing in Sensor Networks

    In this paper, we address distributed hypothesis testing (DHT) in sensor networks and Bayesian networks using the average-consensus algorithm of...
    Reza Olfati-Saber, Elisa Franco, ... Je. S. Shamma in Networked Embedded Sensing and Control
    Chapter
  8. Plenary Talk Network-Embedded Sensing and Control: Applications and Application Requirements

    The first part of my talk will cover some recent commercially successful applications of networked and embedded sensing and control solutions. These...
    Chapter
  9. Plenary Talk: Delays in Control over Communication Networks: Characterization, Impact, and Reduction Strategies

    The most notable trend in manufacturing over the past five years is probably the move towards networks at all levels of industrial systems. At lower...
    Chapter
  10. Disturbance Attenuation Bounds in the Presence of a Remote Preview

    We study the fundamental limits of disturbance attenuation of a networked control scheme, where a remote preview of the disturbance is available. The...
    Nuno C. Martins, Munther A. Dahleh, John C. Doyle in Networked Embedded Sensing and Control
    Chapter
  11. Distributed Evidence Filtering in Networked Embedded Systems

    Networked embedded sensor systems use the evidence gathered by spatially distributed heterogeneous sensor nodes possessing partial and different...
    Duminda Dewasurendra, Peter Bauer, Kamal Premaratne in Networked Embedded Sensing and Control
    Chapter
  12. Plenary Talk Notes on Multi-agent Motion Coordination: Models and Algorithms

    Motion coordination is an extraordinary phenomenon in biological systems such as schools of fish and serves as a remarkable tool for man-made groups...
    Chapter
  13. neclab: The Network Embedded Control Lab

    The network embedded control lab, neclab, is a software environment designed to allow easy deployment of networked embedded control systems, in...
    Nicholas Kottenstette, Panos J. Antsaklis in Networked Embedded Sensing and Control
    Chapter
  14. A Cross-Layer Approach to Energy Balancing in Wireless Sensor Networks

    We consider a many-to-one real-time sensor network where sensing nodes are to deliver their measurements to a base station under a time constraint...
    Daniele Puccinelli, Emmanuel Sifakis, Martin Haenggi in Networked Embedded Sensing and Control
    Chapter
  15. Symmetries in the Coordinated Consensus Problem

    In this paper we consider a widely studied problem in the robotics and control communities, called consensus problem. The aim of the paper is to...
    Ruggero Carli, Fabio Fagnani, ... Sandro Zampieri in Networked Embedded Sensing and Control
    Chapter
  16. Discrete Time Kuramoto Models with Delay

    Motivated by the needs of multiagent systems in the presence of sensing and communication that is delayed, intermittent and asynchronous, we present...
    Benjamin I. Triplett, Daniel J. Klein, Kristi A. Morgansen in Networked Embedded Sensing and Control
    Chapter
  17. Distributed Control over Failing Channels

    We give sufficient convex conditions for the existence of a distributed controller, with the same interconnection structure as the plant, when the...
    Cédric Langbort, Vijay Gupta, Richard M. Murray in Networked Embedded Sensing and Control
    Chapter
  18. On Communication Requirements for Multi-agent Consensus Seeking

    Several consensus protocols have been proposed in the literature and their convergence properties studied via a variety of methods. In all these...
    Lei Fang, Panos J. Antsaklis in Networked Embedded Sensing and Control
    Chapter
  19. Beating the Bounds on Stabilizing Data Rates in Networked Systems

    This paper applies simple, classical feedback control and quantization schemes to the problem of bit rate reduction for stabilizing unstable linear...
    Yupeng Liang, Peter Bauer in Networked Embedded Sensing and Control
    Chapter
  20. On Quantization and Delay Effects in Nonlinear Control Systems

    The purpose of this paper is to demonstrate that a unified study of quantization and delay effects in nonlinear control systems is possible by...
    Chapter
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