An LMI Condition for Asymptotic Stability of Discrete-Time System Based on Quadratic Difference Forms

Author(s):  
Chiaki Kojima ◽  
Kiyotsugu Takaba
2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Liyuan Hou ◽  
Hong Zhu

This paper investigates the stability of stochastic discrete-time neural networks (NNs) with discrete time-varying delays and leakage delay. As the partition of time-varying and leakage delay is brought in the discrete-time system, we construct a novel Lyapunov-Krasovskii function based on stability theory. Furthermore sufficient conditions are derived to guarantee the global asymptotic stability of the equilibrium point. Numerical example is given to demonstrate the effectiveness of the proposed method and the applicability of the proposed method.


1988 ◽  
Vol 110 (4) ◽  
pp. 430-433 ◽  
Author(s):  
M. J. Grimble

The usual ARMAX linear model for a discrete-time system is generalized to include a nonlinear characteristic. A nonlinear compensation scheme is proposed which enables a modified LQG control approach to be applied to the precompensated system. The solution is relatively simple and if the plant matches the modelled situation asymptotic stability is guaranteed.


2013 ◽  
Vol 61 (2) ◽  
pp. 343-347 ◽  
Author(s):  
T. Kaczorek

Abstract The asymptotic stability of positive switched linear systems for any switchings is addressed. Simple sufficient conditions for the asymptotic stability of positive switched continuous-time and discrete-time linear systems are established. It is shown that the positive switched continuous-time (discrete-time) system is asymptotically stable for any switchings if the sum of entries of every column of the matrices of subsystems is negative (less than 1)


1988 ◽  
Author(s):  
Ioannis S. Apostolakis ◽  
John Diamessis ◽  
David Jordan

Author(s):  
Noriyuki Hori ◽  
Peter N. Nikiforuk ◽  
Kimio Kanai

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