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Uncertainty in Complex Networked Systems

In Honor of Roberto Tempo

  • Book
  • © 2018

Overview

Editors:
  1. Tamer Başar

    1. Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

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  • Celebrates the life and research of Roberto Tempo
  • Presents applications of the study of uncertainty in systems, such as PageRank in Google and opinion dynamics in social networks
  • Gathers experts in various aspects of networked systems, many of whom also collaborated with Roberto Tempo

Part of the book series: Systems & Control: Foundations & Applications (SCFA)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-x
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  2. Robustness

    1. Front Matter

      Pages 1-1
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    2. Uncertain Systems: Time-Varying Versus Time-Invariant Uncertainties

      • Franco Blanchini, Patrizio Colaneri
      Pages 3-91

    3. Cooperative Resilient Estimation of Uncertain Systems Subjected to a Biasing Interference

      • Valery Ugrinovskii
      Pages 93-120

    4. Robust Static Output Feedback Design with Deterministic and Probabilistic Certificates

      • D. Arzelier, F. Dabbene, S. Formentin, D. Peaucelle, L. Zaccarian
      Pages 121-148

    5. Robust Control Against Uncertainty Quartet: A Polynomial Approach

      • Di Zhao, Chao Chen, Sei Zhen Khong, Li Qiu
      Pages 149-178

  3. Randomization and Probabilistic Methods

    1. Front Matter

      Pages 179-179
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    2. Randomization in Robustness, Estimation, and Optimization

      • B. Polyak, P. Shcherbakov
      Pages 181-208

    3. Stabilization of Deterministic Control Systems Under Random Sampling: Overview and Recent Developments

      • Aneel Tanwani, Debasish Chatterjee, Daniel Liberzon
      Pages 209-246

    4. Robust Design Through Probabilistic Maximization

      • T. Alamo, J. M. Manzano, E. F. Camacho
      Pages 247-274

    5. Compressive Sensing and Algebraic Coding: Connections and Challenges

      • Mathukumalli Vidyasagar, Mahsa Lotfi
      Pages 275-322

    6. Stochastic Optimization for Energy Storage Allocation in Smart Grids in the Presence of Uncertainty

      • Martina Bucciarelli, Simone Paoletti, Antonio Vicino
      Pages 323-347

    7. A Data-Driven Basis Function Approach in Nonparametric Nonlinear System Identification

      • Er-Wei Bai, Changming Cheng
      Pages 349-395

  4. Distributed Systems and Algorithms

    1. Front Matter

      Pages 397-397
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    2. Perspectives on Network Systems and Mathematical Sociology

      • Francesco Bullo, Noah E. Friedkin
      Pages 399-417

    3. Distributed Randomized Algorithms for PageRank Computation: Recent Advances

      • Hideaki Ishii, Atsushi Suzuki
      Pages 419-447

    4. Distributed Optimization in Multi-agent Networks Using One-bit of Relative State Information

      • Jiaqi Zhang, Keyou You
      Pages 449-479

    5. Analysis of a Distributed Consensus Based Economic Dispatch Algorithm

      • Raghuraman Mudumbai, Soura Dasgupta, M. Muhammad Mahboob Ur Rahman
      Pages 481-500

    6. Impact of Quantized Inter-agent Communications on Game-Theoretic and Distributed Optimization Algorithms

      • Ehsan Nekouei, Tansu Alpcan, Robin J. Evans
      Pages 501-532

    7. Fault Diagnosis for Uncertain Networked Systems

      • Francesca Boem, Christodoulos Keliris, Thomas Parisini, Marios M. Polycarpou
      Pages 533-581
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Keywords

About this book

The chapters in this volume, and the volume itself, celebrate the life and research of Roberto Tempo, a leader in the study of complex networked systems, their analysis and control under uncertainty, and robust designs. Contributors include authorities on uncertainty in systems, robustness, networked and network systems, social networks, distributed and randomized algorithms, and multi-agent systems—all fields that Roberto Tempo made vital contributions to. Additionally, at least one author of each chapter was a research collaborator of Roberto Tempo’s.


This volume is structured in three parts. The first covers robustness and includes topics like time-invariant uncertainties, robust static output feedback design, and the uncertainty quartet. The second part is focused on randomization and probabilistic methods, which covers topics such as compressive sensing, and stochastic optimization. Finally, the third part deals with distributed systems and algorithms, and explores matters involving mathematical sociology, fault diagnoses, and PageRank computation.


Each chapter presents exposition, provides new results, and identifies fruitful future directions in research. This book will serve as a valuable reference volume to researchers interested in uncertainty, complexity, robustness, optimization, algorithms, and networked systems.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

    Tamer Başar

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