Guaranteed Cost Control of Genetic Regulatory Networks With Multiple Time-Varying Discrete Delays and Multiple Constant Distributed Delays

Zhang, Xian; Zhang, Zhiwei; Wang, Yantao; Liu, Chunyan

doi:10.1109/access.2020.2987650

Cited by 10 publications

(7 citation statements)

References 47 publications

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“…However, if the faults are not consider and compensated in control design, namely, there are not fault compensation terms in (10) and (24), the situation will change greatly. From Figures 3 and 4, we find, the states of the GRNs do not asymptotically converge to the adjustable neighborhood of In order to further show the effectiveness of the control design in this paper, according to the previous works [17,28,29,30], another control design is applied. The simulation results can be given in Figures 5 and 6.…”

Section: Simulation Resultsmentioning

confidence: 88%

NNs-Based Adaptive Control for Genetic Regulatory Networks With Sensor Faults

Shen

2021

IEEE Access

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This article considers an adaptive control problem of genetic regulatory networks, where unknown sensor faults are considered. By using the function approximation capability of neural networks, a neural-networks-based gene circuit control method is designed, where the unknown sensor faults are compensated. Comparing with the existing results where regulatory functions meet known SUM logic, the regulatory functions considered in this article are unknown and do not satisfy SUM logic. Furthermore, the fault negative influence on neural network function approximation, which is caused by state sensor faults, has been compensated. In sense of Lyapunov stability theory, the closed-loop system is asymptotically bounded and all the signals in the system converge to an adjustable neighborhood of the origin. Finally, some simulation results are given to show the effectiveness of the design method.INDEX TERMS Genetic regulatory networks, gene circuit control, adaptive control.

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Section: Simulation Resultsmentioning

confidence: 88%

NNs-Based Adaptive Control for Genetic Regulatory Networks With Sensor Faults

Shen

2021

IEEE Access

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“…The control of gene regulatory networks has been widely studied for preventing disease phenotype or producing the desired bio-molecules; however, these methods only used [190], [200], [205], [206] Gene regulatory network YALMIP toolbox https://yalmip.github.io/ Free [198], [201] Gene [225] numerical simulation to prove their capabilities. These control strategies should be applied to real biological systems for validation.…”

Section: Discussionmentioning

confidence: 99%

“…Li et al [197] designed a sampled-data controller to stabilize a class of gene regulatory networks with leakage delays that affects the negative feedback terms in the network. Zhang et al [198] proposed a guaranteed cost control for a class of gene regulatory networks with multiple time-varying discrete delays and multiple constant distributed delays on the mRNA and protein concentrations such that the concentrations can be restricted by an upper bound of a defiened quadratic cost function. Xue et al [199] designed state-feedback controllers for a class of gene regulatory networks with multiple delays and bounded disturbances to ensure that the mRNA and protein concentrations can converge to a given region.…”

Section: Biomodels Databasementioning

confidence: 99%

Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives

Hsiao¹,

Dutta²

2022

Preprint

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<p>Dynamic disease pathways are a combination of complex dynamical processes among bio-molecules in a cell that leads to diseases. Network modeling of disease pathways considers disease-related bio-molecules (e.g. DNA, RNA, transcription factors, enzymes, proteins, and metabolites) and their interaction (e.g. DNA methylation, histone modification, alternative splicing, and protein modification) to study disease progression and predict therapeutic responses. These bio-molecules and their interactions are the basic elements in the study of the misregulation in the disease-related gene expression that lead to abnormal cellular responses. Gene regulatory networks, cell signaling networks, and metabolic networks are the three major types of intracellular networks for the study of the cellular responses elicited from extracellular signals. The disease-related cellular responses can be prevented or regulated by designing control strategies to manipulate these extracellular signals. The paper reviews the regulatory mechanisms, the dynamic models, and the control strategies for each intracellular network. The applications, limitations and the prospective for modeling and control are also discussed.</p>

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Section: Cost Calculation Of E-commerce Logistics During Epidemic Periodmentioning

confidence: 99%

“…For the whole logistics outsourcing system with two kinds of small alliances, the decision of e-commerce enterprises' small alliances is neutral, the members realize transfer price through contract, but the decision of non-small alliances is independent, and all parties are pursuing their own maximization (Zhang et al 2020 ). This process takes three forms: The alliance of express delivery industry and e-commerce is equivalent to the whole process of express company from e-commerce warehouse to consumers' self-operation, and terminal outlets are arranged by themselves; The static merger is formed when a new child brand is operating by that of the parent companies.…”

Section: Novel Coronavirus Pneumonia Prevention and Control Cost Contmentioning

confidence: 99%

Study on e-commerce logistics cost control methods in the context of COVID-19 prevention and control

Ding

Zhao

2021

Soft Comput

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The severe situation caused by THE COVID-19 epidemic has not only hindered the steady development of social economy, but also had a great impact on the development of e-commerce logistics. For e-commerce enterprises, logistics cost is an important factor that affects the operation effect and consumer experience. Based on this, this study proposes cost control methods for e-commerce logistics in the prevention and control of COVID-19 environment. In this study, based on the actual environment of COVID-19 prevention and control, the logistics cost algorithm during the epidemic period is designed on the basis of the analysis of the influencing factors of e-commerce logistics cost, and the cross-border logistics strategy that conforms to the background of COVID-19 prevention and control and the demand of e-commerce logistics cost control is developed to better reduce the operating cost of logistics enterprises. The e-commerce logistics cost control method proposed in this article is effective in the prevention and control of new crown pneumonia, and the overall actual cost is within the budgeted cost range. The experimental results prove that the e-commerce logistics cost control method designed in this paper can help e-commerce companies achieve good economic benefits and proves that it has higher application advantages.

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Guaranteed Cost Control of Genetic Regulatory Networks With Multiple Time-Varying Discrete Delays and Multiple Constant Distributed Delays

Cited by 10 publications

References 47 publications

NNs-Based Adaptive Control for Genetic Regulatory Networks With Sensor Faults

NNs-Based Adaptive Control for Genetic Regulatory Networks With Sensor Faults

Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives

Study on e-commerce logistics cost control methods in the context of COVID-19 prevention and control

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