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Distributed control of robotic networks [[electronic resource] ] : a mathematical approach to motion coordination algorithms / / Francesco Bullo, Jorge Cortés, Sonia Martínez
Distributed control of robotic networks [[electronic resource] ] : a mathematical approach to motion coordination algorithms / / Francesco Bullo, Jorge Cortés, Sonia Martínez
Autore Bullo Francesco
Edizione [Course Book]
Pubbl/distr/stampa Princeton, NJ, : Princeton University Press, 2009
Descrizione fisica 1 online resource (333 p.)
Disciplina 629.8/9246
Altri autori (Persone) CortésJorge <1974->
MartínezSonia <1974->
Collana Princeton series in applied mathematics
Soggetto topico Robotics
Computer algorithms
Robots - Control systems
Soggetto non controllato 1-center problem
Adjacency matrix
Aggregate function
Algebraic connectivity
Algebraic topology (object)
Algorithm
Analysis of algorithms
Approximation algorithm
Asynchronous system
Bellman–Ford algorithm
Bifurcation theory
Bounded set (topological vector space)
Calculation
Cartesian product
Centroid
Chebyshev center
Circulant matrix
Circumscribed circle
Cluster analysis
Combinatorial optimization
Combinatorics
Communication complexity
Computation
Computational complexity theory
Computational geometry
Computational model
Computer simulation
Computer vision
Connected component (graph theory)
Connectivity (graph theory)
Consensus (computer science)
Control function (econometrics)
Differentiable function
Dijkstra's algorithm
Dimensional analysis
Directed acyclic graph
Directed graph
Discrete time and continuous time
Disk (mathematics)
Distributed algorithm
Doubly stochastic matrix
Dynamical system
Eigenvalues and eigenvectors
Estimation
Euclidean space
Function composition
Hybrid system
Information theory
Initial condition
Instance (computer science)
Invariance principle (linguistics)
Invertible matrix
Iteration
Iterative method
Kinematics
Laplacian matrix
Leader election
Linear dynamical system
Linear interpolation
Linear programming
Lipschitz continuity
Lyapunov function
Markov chain
Mathematical induction
Mathematical optimization
Mobile robot
Motion planning
Multi-agent system
Network model
Network topology
Norm (mathematics)
Numerical integration
Optimal control
Optimization problem
Parameter (computer programming)
Partition of a set
Percolation theory
Permutation matrix
Polytope
Proportionality (mathematics)
Quantifier (logic)
Quantization (signal processing)
Robustness (computer science)
Scientific notation
Sensor
Set (mathematics)
Simply connected space
Simulation
Simultaneous equations
State space
State variable
Stochastic matrix
Stochastic
Strongly connected component
Synchronous network
Theorem
Time complexity
Topology
Variable (mathematics)
Vector field
ISBN 1-68015-897-X
1-282-45820-5
1-282-93575-5
9786612458200
9786612935756
1-4008-3147-4
0-691-14195-9
Classificazione SK 880
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Chapter One. An introduction to distributed algorithms -- Chapter Two. Geometric models and optimization -- Chapter Three. Robotic network models and complexity notions -- Chapter Four. Connectivity maintenance and rendezvous -- Chapter Five. Deployment -- Chapter Six. Boundary estimation and tracking -- Bibliography -- Algorithm Index -- Subject Index -- Symbol Index
Record Nr. UNINA-9910781069103321
Bullo Francesco  
Princeton, NJ, : Princeton University Press, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Markov processes from K. Itô's perspective / / Daniel W. Stroock
Markov processes from K. Itô's perspective / / Daniel W. Stroock
Autore Stroock Daniel W.
Pubbl/distr/stampa Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2003
Descrizione fisica 1 online resource (289 p.)
Disciplina 519.2/33
Collana Annals of Mathematics Studies
Soggetto topico Markov processes
Stochastic difference equations
Soggetto non controllato Abelian group
Addition
Analytic function
Approximation
Bernhard Riemann
Bounded variation
Brownian motion
Central limit theorem
Change of variables
Coefficient
Complete metric space
Compound Poisson process
Continuous function (set theory)
Continuous function
Convergence of measures
Convex function
Coordinate system
Corollary
David Hilbert
Decomposition theorem
Degeneracy (mathematics)
Derivative
Diffeomorphism
Differentiable function
Differentiable manifold
Differential equation
Differential geometry
Dimension
Directional derivative
Doob–Meyer decomposition theorem
Duality principle
Elliptic operator
Equation
Euclidean space
Existential quantification
Fourier transform
Function space
Functional analysis
Fundamental solution
Fundamental theorem of calculus
Homeomorphism
Hölder's inequality
Initial condition
Integral curve
Integral equation
Integration by parts
Invariant measure
Itô calculus
Itô's lemma
Joint probability distribution
Lebesgue measure
Linear interpolation
Lipschitz continuity
Local martingale
Logarithm
Markov chain
Markov process
Markov property
Martingale (probability theory)
Normal distribution
Ordinary differential equation
Ornstein–Uhlenbeck process
Polynomial
Principal part
Probability measure
Probability space
Probability theory
Pseudo-differential operator
Radon–Nikodym theorem
Representation theorem
Riemann integral
Riemann sum
Riemann–Stieltjes integral
Scientific notation
Semimartingale
Sign (mathematics)
Special case
Spectral sequence
Spectral theory
State space
State-space representation
Step function
Stochastic calculus
Stochastic
Stratonovich integral
Submanifold
Support (mathematics)
Tangent space
Tangent vector
Taylor's theorem
Theorem
Theory
Topological space
Topology
Translational symmetry
Uniform convergence
Variable (mathematics)
Vector field
Weak convergence (Hilbert space)
Weak topology
ISBN 0-691-11542-7
1-4008-3557-7
Classificazione SI 830
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Chapter 1. Finite State Space, a Trial Run -- Chapter 2. Moving to Euclidean Space, the Real Thing -- Chapter 3. Itô's Approach in the Euclidean Setting -- Chapter 4. Further Considerations -- Chapter 5. Itô's Theory of Stochastic Integration -- Chapter 6. Applications of Stochastic Integration to Brownian Motion -- Chapter 7. The Kunita-Watanabe Extension -- Chapter 8. Stratonovich's Theory -- Notation -- References -- Index
Record Nr. UNINA-9910791958803321
Stroock Daniel W.  
Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Markov processes from K. Itô's perspective / / Daniel W. Stroock
Markov processes from K. Itô's perspective / / Daniel W. Stroock
Autore Stroock Daniel W.
Pubbl/distr/stampa Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2003
Descrizione fisica 1 online resource (289 p.)
Disciplina 519.2/33
Collana Annals of Mathematics Studies
Soggetto topico Markov processes
Stochastic difference equations
Soggetto non controllato Abelian group
Addition
Analytic function
Approximation
Bernhard Riemann
Bounded variation
Brownian motion
Central limit theorem
Change of variables
Coefficient
Complete metric space
Compound Poisson process
Continuous function (set theory)
Continuous function
Convergence of measures
Convex function
Coordinate system
Corollary
David Hilbert
Decomposition theorem
Degeneracy (mathematics)
Derivative
Diffeomorphism
Differentiable function
Differentiable manifold
Differential equation
Differential geometry
Dimension
Directional derivative
Doob–Meyer decomposition theorem
Duality principle
Elliptic operator
Equation
Euclidean space
Existential quantification
Fourier transform
Function space
Functional analysis
Fundamental solution
Fundamental theorem of calculus
Homeomorphism
Hölder's inequality
Initial condition
Integral curve
Integral equation
Integration by parts
Invariant measure
Itô calculus
Itô's lemma
Joint probability distribution
Lebesgue measure
Linear interpolation
Lipschitz continuity
Local martingale
Logarithm
Markov chain
Markov process
Markov property
Martingale (probability theory)
Normal distribution
Ordinary differential equation
Ornstein–Uhlenbeck process
Polynomial
Principal part
Probability measure
Probability space
Probability theory
Pseudo-differential operator
Radon–Nikodym theorem
Representation theorem
Riemann integral
Riemann sum
Riemann–Stieltjes integral
Scientific notation
Semimartingale
Sign (mathematics)
Special case
Spectral sequence
Spectral theory
State space
State-space representation
Step function
Stochastic calculus
Stochastic
Stratonovich integral
Submanifold
Support (mathematics)
Tangent space
Tangent vector
Taylor's theorem
Theorem
Theory
Topological space
Topology
Translational symmetry
Uniform convergence
Variable (mathematics)
Vector field
Weak convergence (Hilbert space)
Weak topology
ISBN 0-691-11542-7
1-4008-3557-7
Classificazione SI 830
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Chapter 1. Finite State Space, a Trial Run -- Chapter 2. Moving to Euclidean Space, the Real Thing -- Chapter 3. Itô's Approach in the Euclidean Setting -- Chapter 4. Further Considerations -- Chapter 5. Itô's Theory of Stochastic Integration -- Chapter 6. Applications of Stochastic Integration to Brownian Motion -- Chapter 7. The Kunita-Watanabe Extension -- Chapter 8. Stratonovich's Theory -- Notation -- References -- Index
Record Nr. UNINA-9910809577703321
Stroock Daniel W.  
Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui