Stationary Riccati equation for linear minimum mean square error estimator of Markovian jump systems

Author(s):  
O.L.V. Costa ◽  
S.G. Jimenez
Author(s):  
Gildson Queiroz De Jesus ◽  
Guilherme Peixoto Andrade

In this paper were developed fast array algorithms for the linear minimum mean square error estimator for a class of Markovian jump linear systems with structured time-variant parameters. The fast array algorithms for systems with structured time-variant parameters arises as an alternative to calculate this type algorithm for some variation in the time of the parameters. Numerical example to show the advantage of using fast array algorithm to filter this class of systems are provided.


Automatica ◽  
2019 ◽  
Vol 104 ◽  
pp. 82-89 ◽  
Author(s):  
Huaicheng Yan ◽  
Yongxiao Tian ◽  
Hongyi Li ◽  
Hao Zhang ◽  
Zhichen Li

Author(s):  
Dunke Lu ◽  
Xiaohang Li

This paper addresses the exponential mean-square stability for a kind of switched Markovian jump systems, which have time-varying generally bounded transition rates and mode-dependent time delay. Since these transition rates are time-varying and generally bounded, they turn out to be more practical. In fact, those existing transition rates can be treated as special cases of the proposed ones in this paper. By constructing a new Lyapunov-Krasovskii function, sufficient conditions in a tractable form are derived for the exponential mean-square stability of the considered systems. For good measure, a numerical example is given to show the efficiency and potential of the proposed method.


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