Graphical interpretation of observability in terms of feedback circuits
- 1 November 2005
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 72 (5) , 056202
Abstract
It is known that the observability of a system depends crucially on the choice of the observable. Locally, such a feature results directly from the couplings between the dynamical variables (globally, it will also depend on symmetry). Using a feedback circuit description, it is shown how the location of the nonlinearity can affect the observability of a system. A graphical interpretation is introduced to determine—without any computation—whether a variable provides full observability of the system or not. Up to a certain degree of accuracy, this graphical interpretation allows us to rank the variables from the best to the worst. In addition to that, it is shown that provided that the system is observable, it can be rewritten under the form of a jerk system. The Rössler system and nine simple Sprott systems, having two fixed points, are investigated here.Keywords
This publication has 16 references indexed in Scilit:
- Observability of multivariate differential embeddingsJournal of Physics A: General Physics, 2005
- Investigating nonlinear dynamics from time series: The influence of symmetries and the choice of observablesChaos: An Interdisciplinary Journal of Nonlinear Science, 2002
- Multistationarity, the basis of cell differentiation and memory. I. Structural conditions of multistationarity and other nontrivial behaviorChaos: An Interdisciplinary Journal of Nonlinear Science, 2001
- DETERMINISTIC CHAOS SEEN IN TERMS OF FEEDBACK CIRCUITS: ANALYSIS, SYNTHESIS, "LABYRINTH CHAOS"International Journal of Bifurcation and Chaos, 1999
- Transformations of nonlinear dynamical systems to jerky motion and its application to minimal chaotic flowsPhysical Review E, 1998
- On the non-equivalence of observables in phase-space reconstructions from recorded time seriesJournal of Physics A: General Physics, 1998
- Continuous control of chaos by self-controlling feedbackPhysics Letters A, 1992
- Controlling chaosPhysical Review Letters, 1990
- Synchronization in chaotic systemsPhysical Review Letters, 1990
- An equation for continuous chaosPhysics Letters A, 1976