Reference:
Zs. Lendek,
R. Babuska, and
B. De Schutter,
"TS fuzzy controllers for cascaded systems," Proceedings of the
3rd IFAC Workshop on Advanced Fuzzy and Neural Control (AFNC 07),
Valenciennes, France, pp. 43-48, Oct. 2007. Paper MO4-2.
Abstract:
A large class of dynamic systems can be decomposed into or
approximated by cascaded subsystems. Applications include multi-agent
systems, distributed process control, and hierarchical large-scale
systems. Nonlinear dynamic systems can be represented as Takagi-Sugeno
(TS) fuzzy models, with linear or affine consequents. For cascaded TS
systems, it has been proven that the stability of the subsystems
implies the stability of the overall system. In this paper, the
cascaded approach is used for controller design. A theoretical design
method for tracking TS controllers and a simulation example are
presented. The results show that the distributed controller achieves
the same performance as the centralized one, while leading to
increased modularity, reduced complexity, lower computational costs,
and easier tuning.