Abstract
This paper considers the problem of delay-dependent stability of the systems with nonlinearity, uncertainty and time-varying delays. The uncertainty is assumed to be of norm-bounded form. By constructing Lyapunov-Krasovskii functional and introducing appropriate free-weighting matrices, the sufficient delay-dependent condition is derived for the asymptotic stability of the system. The proposed result is formulated in terms of linear matrix inequality, which can be efficiently solved by standard convex optimization algorithms.
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Wang, C. (2010). Delay-Dependent Stability of Nonlinear Uncertain Stochastic Systems with Time-Varying Delays. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_86
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DOI: https://doi.org/10.1007/978-3-642-13278-0_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
Online ISBN: 978-3-642-13278-0
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