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Delay-dependent stability for uncertain stochastic neural networks with time-varying delay

Huang, He; Feng, Gang - In: Physica A: Statistical Mechanics and its Applications 381 (2007) C, pp. 93-103

This paper is concerned with the robust stability analysis problem for uncertain stochastic neural networks with time …

Persistent link: https://www.econbiz.de/10010874030

Global robust stability of interval neural networks with multiple time-varying delays

Song, Qiankun; Cao, Jinde - In: Mathematics and Computers in Simulation (MATCOM) 74 (2007) 1, pp. 38-46

In this paper, the global robust stability is investigated for interval neural networks with multiple time …-varying delays, a new sufficient condition is presented to ensure the existence, uniqueness, and global robust stability of …

Persistent link: https://www.econbiz.de/10010750069

Stability robustness bounds for linear state–space models with structured uncertainty based on ellipsoidal set-theoretic approach

Qiu, Zhiping; Müller, Peter C.; Frommer, Andreas - In: Mathematics and Computers in Simulation (MATCOM) 56 (2001) 1, pp. 35-53

This paper is concerned with the problem of robust stability of linear dynamic systems with structured uncertainty by … sufficient conditions for robust stability property of the systems with structured uncertainty. The bound produced by the …

Persistent link: https://www.econbiz.de/10011050703

Ellipsoidal set-theoretic approach for stability of linear state-space models with interval uncertainty

Qiu, Zhiping; Müller, Peter C.; Frommer, Andreas - In: Mathematics and Computers in Simulation (MATCOM) 57 (2001) 1, pp. 45-59

asymptotically stable linear system for robust stability. The formula of determination of the ellipsoid from the given interval …

Persistent link: https://www.econbiz.de/10011050764

Multivariable generalized predictive control with new multiple reference model: a robust stability analysis

Codron, P.; Boucher, P. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 2, pp. 207-219

In this paper, it is presented the polynomial form of multivariable generalized predictive control with multiple reference model (MIMO GPC⧸MRM). A new choice of the reference model is given which allows to obtain decoupled and smooth nominal output responses. Then the equivalent polynomial...

Persistent link: https://www.econbiz.de/10011050575