Distributed Control of Robotic Networks
A Mathematical Approach to Motion Coordination Algorithms
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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
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]
Proximity graphs
Spatially distributed proximity graphs
Proximity graphs over tuples of points
Spatially distributed maps
Chapter 3: Robotic network models and complexity notions [PDF]
A model for synchronous robotic networks
Robotic networks with relative sensing
Coordination tasks and complexity notions
Complexity of direction agreement and equidistance
Notes
Proofs
Exercises
Chapter 4: Connectivity maintenance and rendezvous [PDF]
Chapter 5: Deployment [PDF]
Problem statement
Deployment algorithms
Simulation results
Notes
Proofs
Exercises
Chapter 6: Boundary estimation and tracking [PDF]
References [PDF]
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