Abstract
The problem of constrained infinite-horizon model-predictive control for fuzzy-discrete systems is considered in this paper. New sufficient conditions are proposed in terms of linear-matrix inequalities. Based on the optimal solutions of these sufficient conditions at each sampling instant, we design both parallel-distributed compensation and nonparallel-distributed compensation state-feedback controllers, which can guarantee that the resulting closed-loop fuzzy-discrete system is asymptotically stable. In addition, the fuzzy-feedback controllers meet the specifications for the fuzzy-discrete systems with both input and output constraints. Numerical examples are presented to demonstrate the effectiveness of the proposed techniques.
| Original language | English |
|---|---|
| Article number | 5415640 |
| Pages (from-to) | 429-436 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 18 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Apr 2010 |
Keywords
- Discrete-time system
- Linear-matrix inequality (LMI)
- Model-predictive control (MPC)
- Parallel-distributed compensation (PDC)
- Takagi-Sugeno (T-S) fuzzy system