Improved Multiple-State Observer Design for Boolean Control Networks

2019 ◽  
pp. 279-287 ◽  
Author(s):  
Junqi Yang ◽  
Lizhi Cui ◽  
Yantao Chen ◽  
Zihan Gao ◽  
Wei Qian
Keyword(s):  
State Observer ◽  
Observer Design ◽  
Control Networks ◽  
Multiple State

An improved multiple‐state observer of Boolean control networks

2019 ◽  
Vol 21 (6) ◽  
pp. 2651-2661 ◽  
Author(s):  
Junqi Yang ◽  
Zihan Gao ◽  
Zhiqiang Li ◽  
Wei Qian
Keyword(s):  
State Observer ◽  
Control Networks ◽  
Multiple State

Output Adaptive Observers Design for Linear Non-Stationary Systems with Polynomial Parameters

2021 ◽  
Vol 22 (8) ◽  
pp. 404-410
Author(s):  
K. B. Dang ◽  
A. A. Pyrkin ◽  
A. A. Bobtsov ◽  
A. A. Vedyakov ◽  
S. I. Nizovtsev
Keyword(s):  
Linear Time ◽  
State Observer ◽  
Observer Design ◽  
Model Parameters ◽  
Time Varying ◽  
State Variables ◽  
Unknown Constant ◽  
Established Method ◽  
Time Varying Parameters ◽  
True Values

The article deals with the problem of state observer design for a linear time-varying plant. To solve this problem, a number of realistic assumptions are considered, assuming that the model parameters are polynomial functions of time with unknown coefficients. The problem of observer design is solved in the class of identification approaches, which provide transformation of the original mathematical model of the plant to a static linear regression equation, in which, instead of unknown constant parameters, there are state variables of generators that model non-stationary parameters. To recover the unknown functions of the regression model, we use the recently well-established method of dynamic regressor extension and mixing (DREM), which allows to obtain monotone estimates, as well as to accelerate the convergence of estimates to the true values. Despite the fact that the article deals with the problem of state observer design, it is worth noting the possibility of using the proposed approach to solve an independent and actual estimation problem of unknown time-varying parameters.

scholarly journals Periodically Time-varying State Observer Design for Multi-rate Systems Using l2-induced Norm

2019 ◽  
Vol 55 (12) ◽  
pp. 792-799
Author(s):  
Hiroshi OKAJIMA ◽  
Yohei HOSOE ◽  
Tomomichi HAGIWARA
Keyword(s):  
State Observer ◽  
Observer Design ◽  
Time Varying
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