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Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu
Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu
Autore Simiu Emil
Pubbl/distr/stampa Princeton, New Jersey : , : Princeton University Press, , 2002
Descrizione fisica 1 online resource (244 p.)
Disciplina 515/.352
Collana Princeton Series in Applied Mathematics
Soggetto topico Differentiable dynamical systems
Chaotic behavior in systems
Stochastic systems
Soggetto non controllato Affine transformation
Amplitude
Arbitrarily large
Attractor
Autocovariance
Big O notation
Central limit theorem
Change of variables
Chaos theory
Coefficient of variation
Compound Probability
Computational problem
Control theory
Convolution
Coriolis force
Correlation coefficient
Covariance function
Cross-covariance
Cumulative distribution function
Cutoff frequency
Deformation (mechanics)
Derivative
Deterministic system
Diagram (category theory)
Diffeomorphism
Differential equation
Dirac delta function
Discriminant
Dissipation
Dissipative system
Dynamical system
Eigenvalues and eigenvectors
Equations of motion
Even and odd functions
Excitation (magnetic)
Exponential decay
Extreme value theory
Flow velocity
Fluid dynamics
Forcing (recursion theory)
Fourier series
Fourier transform
Fractal dimension
Frequency domain
Gaussian noise
Gaussian process
Harmonic analysis
Harmonic function
Heteroclinic orbit
Homeomorphism
Homoclinic orbit
Hyperbolic point
Inference
Initial condition
Instability
Integrable system
Invariant manifold
Iteration
Joint probability distribution
LTI system theory
Limit cycle
Linear differential equation
Logistic map
Marginal distribution
Moduli (physics)
Multiplicative noise
Noise (electronics)
Nonlinear control
Nonlinear system
Ornstein–Uhlenbeck process
Oscillation
Parameter space
Parameter
Partial differential equation
Perturbation function
Phase plane
Phase space
Poisson distribution
Probability density function
Probability distribution
Probability theory
Probability
Production–possibility frontier
Relative velocity
Scale factor
Shear stress
Spectral density
Spectral gap
Standard deviation
Stochastic process
Stochastic resonance
Stochastic
Stream function
Surface stress
Symbolic dynamics
The Signal and the Noise
Topological conjugacy
Transfer function
Variance
Vorticity
ISBN 0-691-05094-5
1-4008-3250-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- Chapter 1. Introduction -- PART 1. FUNDAMENTALS -- Chapter 2. Transitions in Deterministic Systems and the Melnikov Function -- Chapter 3. Chaos in Deterministic Systems and the Melnikov Function -- Chapter 4. Stochastic Processes -- Chapter 5. Chaotic Transitions in Stochastic Dynamical Systems and the Melnikov Process -- PART 2. APPLICATIONS -- Chapter 6. Vessel Capsizing -- Chapter 7. Open-Loop Control of Escapes in Stochastically Excited Systems -- Chapter 8. Stochastic Resonance -- Chapter 9. Cutoff Frequency of Experimentally Generated Noise for a First-Order Dynamical System -- Chapter 10. Snap-Through of Transversely Excited Buckled Column -- Chapter 11. Wind-Induced Along-Shore Currents over a Corrugated Ocean Floor -- Chapter 12. The Auditory Nerve Fiber as a Chaotic Dynamical System -- Appendix A1 Derivation of Expression for the Melnikov Function -- Appendix A2 Construction of Phase Space Slice through Stable and Unstable Manifolds -- Appendix A3 Topological Conjugacy -- Appendix A4 Properties of Space ∑2 -- Appendix A5 Elements of Probability Theory -- Appendix A6 Mean Upcrossing Rate τu-1 for Gaussian Processes -- Appendix A7 Mean Escape Rate τ∊-1 for Systems Excited by White Noise -- References -- Index
Record Nr. UNINA-9910786748903321
Simiu Emil  
Princeton, New Jersey : , : Princeton University Press, , 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu
Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu
Autore Simiu Emil
Pubbl/distr/stampa Princeton, New Jersey : , : Princeton University Press, , 2002
Descrizione fisica 1 online resource (244 p.)
Disciplina 515/.352
Collana Princeton Series in Applied Mathematics
Soggetto topico Differentiable dynamical systems
Chaotic behavior in systems
Stochastic systems
Soggetto non controllato Affine transformation
Amplitude
Arbitrarily large
Attractor
Autocovariance
Big O notation
Central limit theorem
Change of variables
Chaos theory
Coefficient of variation
Compound Probability
Computational problem
Control theory
Convolution
Coriolis force
Correlation coefficient
Covariance function
Cross-covariance
Cumulative distribution function
Cutoff frequency
Deformation (mechanics)
Derivative
Deterministic system
Diagram (category theory)
Diffeomorphism
Differential equation
Dirac delta function
Discriminant
Dissipation
Dissipative system
Dynamical system
Eigenvalues and eigenvectors
Equations of motion
Even and odd functions
Excitation (magnetic)
Exponential decay
Extreme value theory
Flow velocity
Fluid dynamics
Forcing (recursion theory)
Fourier series
Fourier transform
Fractal dimension
Frequency domain
Gaussian noise
Gaussian process
Harmonic analysis
Harmonic function
Heteroclinic orbit
Homeomorphism
Homoclinic orbit
Hyperbolic point
Inference
Initial condition
Instability
Integrable system
Invariant manifold
Iteration
Joint probability distribution
LTI system theory
Limit cycle
Linear differential equation
Logistic map
Marginal distribution
Moduli (physics)
Multiplicative noise
Noise (electronics)
Nonlinear control
Nonlinear system
Ornstein–Uhlenbeck process
Oscillation
Parameter space
Parameter
Partial differential equation
Perturbation function
Phase plane
Phase space
Poisson distribution
Probability density function
Probability distribution
Probability theory
Probability
Production–possibility frontier
Relative velocity
Scale factor
Shear stress
Spectral density
Spectral gap
Standard deviation
Stochastic process
Stochastic resonance
Stochastic
Stream function
Surface stress
Symbolic dynamics
The Signal and the Noise
Topological conjugacy
Transfer function
Variance
Vorticity
ISBN 0-691-05094-5
1-4008-3250-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front matter -- Contents -- Preface -- Chapter 1. Introduction -- PART 1. FUNDAMENTALS -- Chapter 2. Transitions in Deterministic Systems and the Melnikov Function -- Chapter 3. Chaos in Deterministic Systems and the Melnikov Function -- Chapter 4. Stochastic Processes -- Chapter 5. Chaotic Transitions in Stochastic Dynamical Systems and the Melnikov Process -- PART 2. APPLICATIONS -- Chapter 6. Vessel Capsizing -- Chapter 7. Open-Loop Control of Escapes in Stochastically Excited Systems -- Chapter 8. Stochastic Resonance -- Chapter 9. Cutoff Frequency of Experimentally Generated Noise for a First-Order Dynamical System -- Chapter 10. Snap-Through of Transversely Excited Buckled Column -- Chapter 11. Wind-Induced Along-Shore Currents over a Corrugated Ocean Floor -- Chapter 12. The Auditory Nerve Fiber as a Chaotic Dynamical System -- Appendix A1 Derivation of Expression for the Melnikov Function -- Appendix A2 Construction of Phase Space Slice through Stable and Unstable Manifolds -- Appendix A3 Topological Conjugacy -- Appendix A4 Properties of Space ∑2 -- Appendix A5 Elements of Probability Theory -- Appendix A6 Mean Upcrossing Rate τu-1 for Gaussian Processes -- Appendix A7 Mean Escape Rate τ∊-1 for Systems Excited by White Noise -- References -- Index
Record Nr. UNINA-9910827211303321
Simiu Emil  
Princeton, New Jersey : , : Princeton University Press, , 2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui