Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems
The approximate Prediction-Based Control method (aPBC) is the continuous-time version of the well-known Prediction-Based Chaos Control method applied to stabilize periodic orbits of nonlinear dynamical systems. The method is based on estimating future states of the free system response of continuous...
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doaj-dee9df3dd5fa441b9c4877421cb52cf02020-11-24T22:15:01ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/32982863298286Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic SystemsThiago P. Chagas0Pierre-Alexandre Bliman1Karl H. Kienitz2Universidade Estadual de Santa Cruz (UESC), 45662-900 Ilhéus, BA, BrazilLab. J.-L. Lions UMR CNRS, Inria, UPMC University Paris 06, Sorbonne Universités, 7598 Paris, FranceInstituto Tecnológico de Aeronáutica (ITA), 12228-900 São José dos Campos, SP, BrazilThe approximate Prediction-Based Control method (aPBC) is the continuous-time version of the well-known Prediction-Based Chaos Control method applied to stabilize periodic orbits of nonlinear dynamical systems. The method is based on estimating future states of the free system response of continuous-time systems using the solution from the Runge-Kutta implicit method in real time. Some aspects of aPBC are evaluated in the present work, particularly its robustness to low future states estimation precision is exemplified.http://dx.doi.org/10.1155/2018/3298286 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thiago P. Chagas Pierre-Alexandre Bliman Karl H. Kienitz |
spellingShingle |
Thiago P. Chagas Pierre-Alexandre Bliman Karl H. Kienitz Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems Journal of Control Science and Engineering |
author_facet |
Thiago P. Chagas Pierre-Alexandre Bliman Karl H. Kienitz |
author_sort |
Thiago P. Chagas |
title |
Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems |
title_short |
Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems |
title_full |
Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems |
title_fullStr |
Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems |
title_full_unstemmed |
Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems |
title_sort |
approximate prediction-based control method for nonlinear oscillatory systems with applications to chaotic systems |
publisher |
Hindawi Limited |
series |
Journal of Control Science and Engineering |
issn |
1687-5249 1687-5257 |
publishDate |
2018-01-01 |
description |
The approximate Prediction-Based Control method (aPBC) is the continuous-time version of the well-known Prediction-Based Chaos Control method applied to stabilize periodic orbits of nonlinear dynamical systems. The method is based on estimating future states of the free system response of continuous-time systems using the solution from the Runge-Kutta implicit method in real time. Some aspects of aPBC are evaluated in the present work, particularly its robustness to low future states estimation precision is exemplified. |
url |
http://dx.doi.org/10.1155/2018/3298286 |
work_keys_str_mv |
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_version_ |
1725796524857753600 |