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Distributed Control of Robotic Networks

A Mathematical Approach to Motion Coordination Algorithms

The entire book is freely available for download. The latest version of the book is from March 10, 2009

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Book contents

Chapter 1: An introduction to distributed algorithms [PDF]

  • Elementary concepts and notation

    • Distance functions

    • Matrix theory

  • State machines and dynamical systems

    • Stability and attractivity notions

    • Invariance principles

    • Notions and results for set-valued systems

    • Notions and results for time-dependent systems

  • Graph theory

    • Connectivity notions

    • Weighted digraphs

    • Distances on digraphs and weighted digraphs

    • Graph algorithms

    • Algebraic graph theory

  • Distributed algorithms on synchronous networks

    • Physical components and computational models

    • Complexity notions

    • Broadcast and BFS tree computation

    • Leader election

    • Shortest-paths tree computation

  • Linear distributed algorithms

    • Linear iterations on synchronous networks

    • Averaging algorithms

    • Convergence speed of averaging algorithms

    • Algorithms defined by tridiagonal Toeplitz and tridiagonal circulant matrices

  • Notes

  • Proofs

  • Exercises

Chapter 2: Geometric models and optimization [PDF]

  • Basic geometric notions

    • Polygons and polytopes

    • Nonconvex geometry

    • Geometric centers

    • Voronoi and range-limited Voronoi partitions

  • Proximity graphs

    • Spatially distributed proximity graphs

    • Proximity graphs over tuples of points

    • Spatially distributed maps

  • Geometric optimization problems and multicenter functions

    • Expected-value multicenter functions

    • Worst-case and disk-covering multicenter functions

    • Sphere-packing multicenter functions

  • Notes

  • Proofs

  • Exercises

Chapter 3: Robotic network models and complexity notions [PDF]

  • A model for synchronous robotic networks

    • Physical components

    • Control and communication laws

    • Agree and pursuit control and communication law

  • Robotic networks with relative sensing

    • Kinematics notions

    • The physical components

    • Relative-sensing control laws

    • Equivalence between communication and relative-sensing laws

  • Coordination tasks and complexity notions

    • Coordination tasks

    • Complexity notions

    • Invariance under rescheduling

  • Complexity of direction agreement and equidistance

  • Notes

  • Proofs

  • Exercises

Chapter 4: Connectivity maintenance and rendezvous [PDF]

  • Problem statement

  • Connectivity maintenance algorithms

    • Enforcing range-limited links

    • Enforcing network connectivity

    • Enforcing range-limited line-of-sight links and network connectivity

  • Rendezvous algorithms

    • Averaging control and communication law

    • Circumcenter control and communication laws

    • Correctness and complexity of circumcenter laws

    • Circumcenter law in nonconvex environments

  • Simulation results

  • Notes

  • Proofs

  • Exercises

Chapter 5: Deployment [PDF]

  • Problem statement

  • Deployment algorithms

    • Geometric-center laws

    • Geometric-center laws with range-limited interactions

    • Correctness and complexity of geometric-center laws

  • Simulation results

  • Notes

  • Proofs

  • Exercises

Chapter 6: Boundary estimation and tracking [PDF]

  • Event-driven asynchronous robotic networks

  • Problem statement

    • Linear interpolations for boundary estimation

    • Network model and boundary estimation task

  • Estimate update and cyclic balancing law

    • Single-robot estimate update law

    • Cooperative estimate update law

    • Cyclic balancing algorithm for equidistance task

    • Correctness of the estimate update and cyclic balancing law

  • Simulations results

  • Notes

  • Proofs

  • Exercises

References [PDF]

Indices [PDF]