Abstract
This paper introduces a dynamic output feedback (DOF) guaranteed cost controller for systems with uncertainties and time delays, which are usually described by Takagi–Sugeno (T-S) fuzzy models. We model the nonlinear system directly by parallel distributed compensation (PDC) rules. The uncertainties and time delays caused by modeling errors and parameter sensitivity of devices are considered. Since states are not always available, we choose dynamic output feedback and design guaranteed cost controller based on linear matrix inequality (LMI). The upper bound of performances and calculation method for controller parameters are given. A numerical simulation is provided to demonstrate the availability and effectiveness of our method.
This work is supported by National Natural Science Foundation (NNSF) of China under Grant (No. 61304005, 61174200); Research Fund for the Doctoral Program of Higher Education (RFDP) of China (NO. 20102302110031).
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Ma, G., Sun, Y., Ma, J., Li, C., Sun, S. (2014). Dynamic Output Feedback Guaranteed Cost Control for T-S Fuzzy Systems with Uncertainties and Time Delays. In: Huang, DS., Jo, KH., Wang, L. (eds) Intelligent Computing Methodologies. ICIC 2014. Lecture Notes in Computer Science(), vol 8589. Springer, Cham. https://doi.org/10.1007/978-3-319-09339-0_25
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DOI: https://doi.org/10.1007/978-3-319-09339-0_25
Publisher Name: Springer, Cham
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