Name
Title | ||
|---|---|---|
Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements. |
Abstract | ||
|---|---|---|
This paper is concerned with the problem of the H∞ asynchronous state estimation for fuzzy Markov jump neural networks (FMJNNs) with uncertain measurements over a finite-time interval. In terms of a Bernoulli distributed white sequence, the phenomenon of the randomly occurring uncertainties in the output equation is represented by exploiting a random variable with known occurrence probabilities. The main focus of this paper is to present a state estimator such that the resulting error system is finite-time bounded and satisfies an H∞ performance requirement. Then, by employing the stochastic analysis technique, sufficient conditions are provided to ensure that the state estimator is designed by means of solving a convex optimization problem. An example is finally given to explain the effectiveness and potentiality of the proposed design method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.fss.2018.01.017 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
Fuzzy Markov jump neural networks,Finite-time stability,Asynchronous H∞ state estimation,Uncertain measurements | Applied mathematics,Discrete mathematics,Random variable,Fuzzy logic,Markov chain,Stochastic process,Discrete time and continuous time,Artificial neural network,Convex optimization,Mathematics,Bounded function | Journal |
Volume | ISSN | Citations |
356 | 0165-0114 | 6 |
PageRank | References | Authors |
0.42 | 27 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Shen | 1 | 1074 | 69.50 |
| Mengping Xing | 2 | 15 | 2.54 |
| Shicheng Huo | 3 | 45 | 2.25 |
| Zhengguang Wu | 4 | 3550 | 137.72 |
| Ju H. Park | 5 | 5878 | 330.37 |