Efficient robust fuzzy model predictive control of discrete nonlinear time-delay systems via Razumikhin approach
In this paper, two efficient robust fuzzy model predictive control algorithms are investigated for discrete nonlinear systems with multiple time delays and bounded disturbances. The famous Takagi-Sugeno (T-S) fuzzy systems are utilized to represent nonlinear systems. Instead of the Lyapunov-Krasovsk...
| Hlavní autoři: | , , , |
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| Další autoři: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://hdl.handle.net/10356/142445 |