Distributed Control of Robotic Networks A Mathematical Approach to Motion Coordination Algorithms

This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control theory. The book presents a broad set of tools for understanding coordination algorithms, determining their correctness, and assessing their complexity; and it a...

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Bibliographische Detailangaben
Hauptverfasser:	Bullo, Francesco, Cortés, Jorge, Martínez, Sonia
Format:	E-Book Buch
Sprache:	Englisch
Veröffentlicht:	Princeton, N.J Princeton University Press 2009
Ausgabe:	1
Schriftenreihe:	Princeton Series in Applied Mathematics
Schlagworte:	1-center problem Adjacency matrix Algebraic topology (object) Algorithm Analysis of algorithms Bellman–Ford algorithm Bounded set (topological vector space) Calculation Cartesian product Chebyshev center Circulant matrix Circumscribed circle Cluster analysis Combinatorial optimization Combinatorics Communication complexity Computation Computational complexity theory Computational geometry Computer algorithms Computer simulation COMPUTERS / Computer Science Connectivity (graph theory) Consensus (computer science) Control function (econometrics) Control Systems Differentiable function Dimensional analysis Directed graph Discrete time and continuous time Disk (mathematics) Distributed algorithm Dynamical system Eigenvalues and eigenvectors Estimation Function composition Information theory Initial condition Instance (computer science) Kinematics Laplacian matrix Leader election Linear dynamical system Linear interpolation Linear programming Lipschitz continuity Markov chain Mathematical optimization Mathematics MATHEMATICS / Applied Network model Norm (mathematics) Numerical integration Optimal control Optimization problem Parameter (computer programming) Permutation matrix Polytope Process Design, Control & Automation Proportionality (mathematics) Quantifier (logic) Quantization (signal processing) Robotics Robotics and Control Systems Robots Robots > Control systems Robustness (computer science) Scientific notation Sensor Simply connected space Simultaneous equations State space Stochastic Stochastic matrix Strongly connected component Synchronous network Technology TECHNOLOGY & ENGINEERING TECHNOLOGY & ENGINEERING / Robotics Theorem Time complexity Topology Vector field Connectivity (graph theory) Cluster analysis Dynamical system Robustness (computer science) Stochastic Synchronous network Leader election Eigenvalues and eigenvectors Kinematics Laplacian matrix Calculation Combinatorics Circumscribed circle Vector field Discrete time and continuous time Parameter (computer programming) Linear interpolation Stochastic matrix Computer simulation Simply connected space Estimation Disk (mathematics) Topology Algorithm Computational geometry Proportionality (mathematics) Computation Quantifier (logic) Analysis of algorithms Algebraic topology (object) Mathematical optimization Time complexity Directed graph Bellman–Ford algorithm Sensor Polytope Function composition State space Combinatorial optimization Quantization (signal processing) Lipschitz continuity Markov chain Linear dynamical system Network model Computational complexity theory Dimensional analysis Theorem Control function (econometrics) Cartesian product Differentiable function Numerical integration Initial condition Bounded set (topological vector space) Linear programming Adjacency matrix Instance (computer science) Consensus (computer science) Permutation matrix Simultaneous equations Strongly connected component Norm (mathematics) Optimal control Circulant matrix Distributed algorithm Communication complexity Scientific notation Optimization problem Information theory 1-center problem Chebyshev center
ISBN:	9780691141954, 0691141959, 0691146640, 9780691146645, 1400831474, 9781400831470
Online-Zugang:	Volltext
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