Abstract
Multi-objective robust state-feedback controller synthesis problems for linear discrete-time uncertain systems are addressed. Based on parameter-dependent Lyapunov functions, the Gl 2 and GH 2 norm expressed in terms of LMI (Linear Matrix Inequality) characterizations are further generalized to cope with the robust analysis for convex polytopic uncertain system. Robust state-feedback controller synthesis conditions are also derived for this class of uncertain systems. Using the above results, multi-objective state-feedback controller synthesis procedures which involve the LMI optimization technique are developed and less conservative than the existing one. An illustrative example verified the validity of the approach.
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Project (No. 60374028) supported by the National Natural Science Foundation of China
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Zhang, Yh., Yan, Wj., Lu, Jn. et al. Multi-objective robust controller synthesis for discrete-time systems with convex polytopic uncertain domain. J. Zheijang Univ.-Sci. 6 (Suppl 1), 87–93 (2005). https://doi.org/10.1631/jzus.2005.AS0087
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DOI: https://doi.org/10.1631/jzus.2005.AS0087
Key words
- Gl 2 and GH 2 performance
- Multi-objective optimization
- Robust controller synthesis
- Parameter-dependent Lyapunov functions
- Convex polytopic uncertain system