Set-oriented numerical computation of rotation sets

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

We establish a set-oriented algorithm for the numerical approximation
of the rotation set of homeomorphisms of the two-torus homotopic to
the identity. A theoretical background is given by the concept of ε-rotation
sets. These are obtained by replacing orbits with ε-pseudo-orbits in the definition
of the Misiurewicz-Ziemian rotation set and are shown to converge to the
latter as ε decreases to zero. Based on this result, we prove the convergence
of the numerical approximations as precision and iteration time tend to infinity.
Further, we provide analytic error estimates for the algorithm under an
additional boundedness assumption, which is known to hold in many relevant
cases and in particular for non-empty interior rotation sets.
OriginalspracheEnglisch
ZeitschriftJournal of Computational Dynamics
Jahrgang4
Ausgabenummer1
Seiten (von - bis)119-141
Anzahl der Seiten23
ISSN2158-2491
DOIs
PublikationsstatusErschienen - 01.11.2017

Bibliographische Notiz

Publisher Copyright:
© American Institute of Mathematical Sciences.

DOI

Zuletzt angesehen

Publikationen

  1. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  2. Making an Impression Through Openness
  3. Expertise in research integration and implementation for tackling complex problems
  4. Fixed-term Contracts and Wages Revisited Using Linked Employer-Employee Data from Germany
  5. Evaluating entity annotators using GERBIL
  6. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  7. Emergency detection based on probabilistic modeling in AAL environments
  8. Optimization Analysis for an Uncovered Wagon Transportation with an Interactive Animated Simulation-Based Platform for Multidisciplinary Learning
  9. Towards improved dispatching rules for complex shop floor scenarios - A genetic programming approach
  10. Semi-supervised learning for structured output variables
  11. Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium
  12. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation
  13. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  14. Multi-Parallel Sending Coils for Movable Receivers in Inductive Charging Systems
  15. Ambient Intelligence and Knowledge Processing in Distributed Autonomous AAL-Components
  16. FFTSMC with Optimal Reference Trajectory Generated by MPC in Robust Robotino Motion Planning with Saturating Inputs
  17. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  18. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter
  19. Different complex word problems require different combinations of cognitive skills
  20. Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
  21. A simple fuzzy controller for robot manipulators with bounded inputs
  22. Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems
  23. Anomaly detection in formed sheet metals using convolutional autoencoders
  24. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  25. Framework for setting up and operating biobanks
  26. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  27. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  28. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  29. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  30. Control of the inverse pendulum based on sliding mode and model predictive control