In this paper, we present a new fuzzy logic controller (FLC) for discrete-time systems. All the decision rules of FLC are automatically generated by the Lyapunov stability criterion. The proposed control scheme can be easily derived with minimum information of the controlled plant. Furthermore, the fuzzy inference scheme can successfully be applied to stabilize the nonlinear discrete-time systems. We introduce three discrete-time systems, including a linear plant, a nonlinear plant, and a delayed plant, to demonstrate the effectiveness of the proposed FLC.
|Number of pages||7|
|Journal||International Journal of Fuzzy Systems|
|Publication status||Published - 2007 Mar 1|
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computational Theory and Mathematics
- Artificial Intelligence