Talks and Poster Presentations (with Proceedings-Entry):
M. Killian, M. Kozek:
"Cooperative Fuzzy model predictive control for a multivariate process";
Talk: 2016 IEEE World Congress on Computational Intelligence (Fuzz- IEEE),
Vancouver, Canada;
2016-07-25
- 2016-07-29; in: "Proceedings of IEEE World Congress on Computational Intelligence (Fuzz- IEEE) 2016",
(2016),
6 pages.
English abstract:
In this paper a cooperative Fuzzy model predictive
controller (CFMPC) for a multivariate process is presented.
Instead of designing one multivariate Fuzzy model predictive
controller (FMPC) several more simple FMPCs for the inputcoupled
subsystems are designed, and optimal behavior is
guaranteed by a cooperative iteration-loop. This ensures added
flexibility in changing and extending the control structure since
individual FMPC designs do not affect the other control loops.
Moreover, the concept is ideally suited for combination with
fault diagnosis and isolation (FDI) as no reconfiguration of
the control structure is necessary. The positive features are
demonstrated by a simulation of an input-coupled heating
process, where over-actuation, actuator fault compensation and
under-actuation are handled optimally by the CFMPC.
Keywords:
Fuzzy MPC; TS-Fuzzy system modeling; multivariate process control; heating system.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/FUZZ-IEEE.2016.7737774
Created from the Publication Database of the Vienna University of Technology.