| Full text | |
| Author(s): |
Chagas, Thiago P.
;
Bliman, Pierre-Alexandre
;
Kienitz, Karl H.
Total Authors: 3
|
| Document type: | Journal article |
| Source: | JOURNAL OF CONTROL SCIENCE AND ENGINEERING; v. 2018, p. 21-pg., 2018-01-01. |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 11/17610-0 - Monitoring and control of dynamic systems subject to faults |
| Grantee: | Roberto Kawakami Harrop Galvão |
| Support Opportunities: | Research Projects - Thematic Grants |