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Robust stability analysis of uncertain discrete-time systems with state delay
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作者 RenZhengyun ZhangLiqun ShaoHuihe 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第2期153-157,共5页
The sufficient conditions of stability for uncertain discrete-time systems with state delay have been proposed by some researchers in the past few years, yet these results may be conservative in application. The stabi... The sufficient conditions of stability for uncertain discrete-time systems with state delay have been proposed by some researchers in the past few years, yet these results may be conservative in application. The stability analysis of these systems is discussed, and the necessary and sufficient condition of stability is derived by method other than constructing Lyapunov function and solving Riccati inequality. The root locations of system characteristic polynomial, which is obtained by augmentation approach and Laplace expansion, determine the stability of uncertain discrete-time systems with state delay, the system is stable if and only if all roots lie within the unit circle. In order to analyze robust stability of system characteristic polynomial effectively, Kharitonov theorem and edge theorem are applied. Example shows the practicability of these methods. 展开更多
关键词 robust stability state delay uncertain discrete-time system necessary and sufficient condition POLYNOMIAL Hurwitz stability Schur stability.
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Moment Equations of Linear It Stochastic Systems with Applications
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作者 Deng Feiqi Liu Hongwei Feng Zhaoshu & Liu Yongqing(Department of Automatic Control Engineering, South China University of Technology,Guangzhou 510641, P. R. China) 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1998年第2期1-7,共7页
In this paper, with the Kronecker's product and Kronecker's sum of matrices, the 2nd order moment equations of linear Ito stochastic systems are dervided. Based on the moment equations obtained, a necessary an... In this paper, with the Kronecker's product and Kronecker's sum of matrices, the 2nd order moment equations of linear Ito stochastic systems are dervided. Based on the moment equations obtained, a necessary and sufficient condition for the mean-square asymptotic stability of linear Ito stochastic systems is obtained.For the time-invariant stochastic systems,the necessary and sufficient condition is just the same as the Hurwitz property of certain matrices related to the coefficient matrices of the systems. An algorithm STILSS is given for testing the mean-square asymptotic stability of time-invariant linear Ito stochastic systems. 展开更多
关键词 Moment equations Mean-square stability necessary and sufficient condition ALGORITHM
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