Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling

Shen, Hao; Huo, Shicheng; Yan, Huaicheng; Park, Ju H.; Sreeram, Victor

doi:10.1109/tnnls.2019.2909747

Cited by 69 publications

(19 citation statements)

References 41 publications

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“…(1) Each process must strictly comply with the partial order relationship agreed in the process tree; (2) Each device can only process one procedure at any time, and the processing process cannot be interrupted; (3) Devices with the same functionality do not exist on the device set; (4) In the process set, there are multi-device-processes which are jointly processed by multiple related devices; (5) Each process must wait for the completion of all the process tree pre-process and device pre-process before processing; (6) The difference between the finishing time of the latest processing procedure and the beginning time of the earliest processing procedure is the total processing time of the product.…”

Section: Problem Description and Analysismentioning

confidence: 99%

An integrated scheduling algorithm for multi-device-processes with the strategy of exchanging adjacent parallel processes of the same device

Wang

Zhang

Cao

et al. 2021

J Wireless Com Network

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At present, Multi-Devices-Process Integrated Scheduling Algorithm with Time-Selective Strategy for Process Sequence (MISATPS) is an advanced algorithm in the field of integrated scheduling with multi-devices-process problems. This algorithm ignores the influence of the pre-process on the post-process when solving the multi-devices-process integrated scheduling problem, which leads to the problem of poor closeness between serial processes and poor parallelism between parallel processes. This paper points out that there is no restriction of scheduling sequence between parallel processes on the same processing device. It can be scheduled flexibly of the sequence between parallel processes of the same device. Therefore, based on the scheduling scheme of MISATPS, the algorithm is improved by applying the interchange strategy and the interchange adjustment strategy of multi-device adjacent parallel process. In this way, the influence of the pre-process on the post-process is avoided, the compactness of the serial process and the parallelism of the parallel process are improved, and the scheduling result is optimized.

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Section: Problem Description and Analysismentioning

confidence: 99%

An integrated scheduling algorithm for multi-device-processes with the strategy of exchanging adjacent parallel processes of the same device

Wang

Zhang

Cao

et al. 2021

J Wireless Com Network

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“…Based on round-robin protocols, the state estimation problem of GRNs with stochastic process noises and bounded exogenous disturbances was analyzed in [12]. The distributed dissipative state estimation issue of GRNs was studied in [13], where the random changes of system parameters were considered. For more details, please refer to [14]- [20] and the relative references.…”

Section: Introductionmentioning

confidence: 99%

Finite-Time H State Estimation for PDT-Switched Genetic Regulatory Networks With Randomly Occurring Uncertainties

Wang

Shen

et al. 2022

IEEE/ACM Trans. Comput. Biol. and Bioinf.

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This paper is concerned with the problem of finitetime H∞ state estimation for switched genetic regulatory networks with randomly occurring uncertainties. The persistent dwell-time switching rule, as a more versatile class of switching rules, is considered in this paper. Besides, several random variables that obey the Bernoulli distribution are used to represent randomly occurring uncertainties. The overriding purpose of this paper is to design an estimator to ensure that the estimation error system is stochastically finite-time bounded and satisfies the H∞ performance. Based on this, sufficient conditions for the explicit form of the estimator gains can be obtained by the Lyapunov method. Finally, a numerical example is given to verify the correctness and feasibility of the proposed method. Index Terms-Switched genetic regulatory networks, finitetime H∞ state estimation, persistent dwell-time switching rule, randomly occurring uncertainties.

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“…In Ma, Zhang, & Li (2017), the authors studied the dissipative analysis for comprehensive GRN models with fractional Brownian motion, diffusion-reaction processes, Markovian jump and time-varying delay. In article Shen,Huo, Yan,Park, & Sreeram (2019), Shen, H. et al, dealt with the distributed dissipative state estimation issue of Markov jump GRNs with round-robin scheduling. In Yu, Liu, Zeng, & Wu (2019), Yu, T. et al, investigated the problem of dissipativity-based filtering for switched GRNs in the presence of stochastic perturbation and time-varying delays.…”

Section: Introductionmentioning

confidence: 99%

Global dissipativity of fuzzy genetic regulatory networks with mixed delays

Aouiti

Hui

Moulay

et al. 2022

International Journal of Systems Science

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling

Cited by 69 publications

References 41 publications

An integrated scheduling algorithm for multi-device-processes with the strategy of exchanging adjacent parallel processes of the same device

An integrated scheduling algorithm for multi-device-processes with the strategy of exchanging adjacent parallel processes of the same device

Finite-Time H State Estimation for PDT-Switched Genetic Regulatory Networks With Randomly Occurring Uncertainties

Global dissipativity of fuzzy genetic regulatory networks with mixed delays

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