Abstract
This paper deals with the problem of guaranteed cost control for uncertain neutral stochastic systems. The parameter uncertainties are assumed to be time-varying but norm-bounded. Dynamic output feedback controllers are designed such that, for all admissible uncertainties, the resulting closed-loop system is mean-square asymptotically stable and an upper bound on the closed-loop value of the cost function is guaranteed. By employing a linear matrix inequality (LMI) approach, a sufficient condition for the solvability of the underlying problem is obtained. A numerical example is provided to demonstrate the potential of the proposed techniques.
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Communicated by C.T. Leondes.
This work is partially supported by RGC HKU 7103/01P and RGC HKU 7031/06P, and the National Natural Science Foundation of P.R. China under Grants 60304001 and 60074007 and by NSERC-Canada, Grant OPG0035444.
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Xu, S., Lam, J., Shi, P. et al. Guaranteed Cost Control for Uncertain Neutral Stochastic Systems via Dynamic Output Feedback Controllers. J Optim Theory Appl 143, 207–223 (2009). https://doi.org/10.1007/s10957-009-9550-3
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DOI: https://doi.org/10.1007/s10957-009-9550-3