{ "id": "1902.08262", "version": "v1", "published": "2019-02-21T20:55:05.000Z", "updated": "2019-02-21T20:55:05.000Z", "title": "Stochastic control stabilizing unstable or chaotic maps", "authors": [ "Elena Braverman", "Alexandra Rodkina" ], "comment": "28 pages, 7 figures", "doi": "10.1080/10236198.2018.1561882", "categories": [ "math.DS" ], "abstract": "The paper considers a stabilizing stochastic control which can be applied to a variety of unstable and even chaotic maps. Compared to previous methods introducing control by noise, we relax assumptions on the class of maps, as well as consider a wider range of parameters for the same maps. This approach allows to stabilize unstable and chaotic maps by noise. The interplay between the map properties and the allowed neighbourhood where a solution can start to be stabilized is explored: as instability of the original map increases, the interval of allowed initial conditions narrows. A directed stochastic control aiming at getting to the target neighbourhood almost sure is combined with a controlling noise. Simulations illustrate that for a variety of problems, an appropriate bounded noise can stabilize an unstable positive equilibrium, without a limitation on the initial value.", "revisions": [ { "version": "v1", "updated": "2019-02-21T20:55:05.000Z" } ], "analyses": { "subjects": [ "39A50", "37H10", "93D15", "39A30" ], "keywords": [ "stochastic control stabilizing unstable", "chaotic maps", "original map increases", "initial conditions narrows", "stabilizing stochastic control" ], "tags": [ "journal article" ], "publication": { "publisher": "Taylor-Francis" }, "note": { "typesetting": "TeX", "pages": 28, "language": "en", "license": "arXiv", "status": "editable" } } }