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A state estimation H∞ issue for discrete-time stochastic impulsive genetic regulatory networks in the presence of leakage,multiple delays and Markovian jumping parameters
Authors:S Pandiselvi  R Raja  Q Zhu  G Rajchakit
Institution:1. Department of Mathematics, Alagappa University, Karaikudi 630 004, India;2. Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi 630 004, India;3. School of Mathematical Sciences and Institute of Finance and Statistics, Nanjing Normal University, Nanjing, Jiangsu 210023, China;4. Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai, Thailand;5. Key Laboratory of High Performance Computing and Stochastic Information Processing (HPCSIP) (Ministry of Education of China), College of Mathematics and Computer Science, Hunan Normal University, Changsha, 410081, China;6. School of Mathematical Sciences, Qufu Normal University, Qufu, 273165, China
Abstract:In this work, we probes the stability results of H state estimation for discrete-time stochastic genetic regulatory networks with leakage, distributed delays, Markovian jumping parameters and impulsive effects. Here, we focus to evaluate the true absorption of mRNAs and proteins by calculating the H estimator in such a way that the estimation error dynamics is stochastically stable during the completion of the prescribed H disturbance attenuation level. In favor of decreasing the data communion in trouble, the H system accept and evaluate the outputs that are only transferred to the estimator when a certain case is acroses. Further, few sufficient conditions are formulated, by utilizing the Lyapunov–Krasovskii functional under which the estimation error system is stochastically stable and also satisfied the H attainment constraint. The estimator is obtained in terms of linear matrix inequalities (LMIs) and these LMIs are attainable, only if the estimator gains can be absolutely given. In addition to that, two numerical examples are exposed to establish the efficiency of our obtained results.
Keywords:Corresponding author  
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