Distributed Control of Robotic Networks
A mathematical approach to motion coordination algorithms
Book contents
Chapter 1: An introduction to distributed algorithms
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Elementary concepts and notation
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Distance functions
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Matrix theory
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State machines and dynamical systems
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Stability and attractivity notions
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Invariance principles
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Notions and results for set-valued systems
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Notions and results for time-dependent systems
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Graph theory
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Distributed algorithms on synchronous networks
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Physical components and computational models
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Complexity notions
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Broadcast and BFS tree computation
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Leader election
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Shortest-paths tree computation
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Linear distributed algorithms
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Linear iterations on synchronous networks
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Averaging algorithms
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Convergence speed of averaging algorithms
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Algorithms defined by tridiagonal Toeplitz and tridiagonal
circulant matrices
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Notes
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Proofs
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Exercises
Chapter 2: Geometric models and optimization
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Proximity graphs
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Spatially distributed proximity graphs
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Proximity graphs over tuples of points
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Spatially distributed maps
Chapter 3: Robotic network models and complexity notions
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A model for synchronous robotic networks
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Robotic networks with relative sensing
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Coordination tasks and complexity notions
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Complexity of direction agreement and equidistance
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Notes
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Proofs
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Exercises
Chapter 4: Connectivity maintenance and rendezvous
Chapter 5: Deployment
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Problem statement
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Deployment algorithms
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Simulation results
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Notes
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Proofs
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Exercises
Copyright
You are allowed to freely download, share, print, or photocopy the
book.
You are not allowed to modify, sell, or claim authorship of any part
of the book.
Homepage
http://www.coordinationbook.info
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