Open AccessParameter Control of Stochastic Neural Network System with Markov Switching
Author(s) -
Bo Hong,
Hui Wang
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/8967558
Subject(s) - artificial neural network , computer science , stochastic neural network , markov chain , control theory (sociology) , controller (irrigation) , set (abstract data type) , attenuation , state (computer science) , stability (learning theory) , control (management) , linear matrix inequality , mathematical optimization , recurrent neural network , mathematics , algorithm , artificial intelligence , machine learning , physics , optics , agronomy , biology , programming language
The stochastic control of Markov switching systems with time-delay feedback neural networks under the interference of external environment is studied in this paper. By designing a memoryless state feedback controller, a set of sufficient conditions for the stochastic stability of the switching system and the disturbance attenuation are obtained by using the stochastic assessment method and the linear matrix inequality, and the key H ∞ control of this problem is realized.
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