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Bisimulation-based stabilization of probabilisticBoolean control networkswith state feedback control Research Articles

Nan JIANG, Chi HUANG, Yao CHEN, Jürgen KURTHS

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 268-290 doi: 10.1631/FITEE.1900447

Abstract: This study is concerned with probabilistic Boolean control networks (PBCNs) with state feedback controlThe results are then extended to the probabilistic Boolean networks.

Keywords： Probabilistic Boolean control network     Bisimulation     Stabilization with probability one     State feedbackcontrol    

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A combined control strategy using tuned liquid dampers to reduce displacement demands of base-isolatedstructures: a probabilistic approach

Parham SHOAEI, Houtan Tahmasebi OROMI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 890-903 doi: 10.1007/s11709-019-0524-8

Abstract: This paper investigates a hybrid structural control system using tuned liquid dampers (TLDs) and lead-rubberIn the proposed approach, the probabilistic distributions of the stiffness and yield properties of stories

Keywords： tuned liquid damper     lead-rubber bearing system     probabilistic framework     steel shear building     relative    

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Output feedback stabilizer design of Boolean networks based on network structure Research Articles

Jie ZHONG, Bo-wen LI, Yang LIU, Wei-hua GUI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 247-259 doi: 10.1631/FITEE.1900229

Abstract: We present analytical investigations on output feedback stabilizer design of Boolean networks (BNs) toBased on network structure information describing coupling connections among nodes, an output feedbackCompared with the traditional pinning control design, the output feedback stabilizer design is not basedFinally, a signal transduction network and a D. melanogaster segmentation polarity gene network are presentedResults are shown to be simple and concise, compared with traditional pinning control for BNs.

Keywords： Boolean networks     Output feedback stabilizer     Network structure     Semi-tensor product of matrices    

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Cascading decomposition of Boolean control networks: a graph-theoreticalmethod Research Articles

Yi-feng LI, Jian-dong ZHU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 304-315 doi: 10.1631/FITEE.1900422

Abstract: Two types of cascading decomposition problems of Boolean control networks are investigated using a raph-theoretical

Keywords： Boolean control networks     Semi-tensor product     Cascading decomposition     Graphic condition    

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Controllability of Boolean control networks with multiple time delays in both states and controls Research Article

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 906-915 doi: 10.1631/FITEE.2200618

Abstract: In this paper, the problem of of (BCNs) with multiple s in both states and controls is investigated. First, the problem of BCNs with multiple s in controls is considered. For this problem, a matrix is constructed by defining a new product of matrices, based on which a necessary and sufficient condition is obtained. Then, the of BCNs with multiple s in states is studied by giving a necessary and sufficient condition. Subsequently, based on these results, a matrix for BCNs with multiple s in both states and controls is proposed that provides a concise condition. Finally, two examples are given to illustrate the main results.

Keywords： Boolean control networks     Semi-tensor product of matrices     Controllability     Time delay    

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Optimal one-bit perturbation in Boolean networks based on cascading aggregation Research Articles

Jin-feng PAN, Min MENG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 294-303 doi: 10.1631/FITEE.1900411

Abstract: BOAs) of desired attractors and minimizes the size of the BOAs of undesired attractors for large-scale BooleanFinally, the efficiency of the proposed method is verified by a T-cell receptor network.

Keywords： Large-scale Boolean network     Attractor     Cascading aggregation     One-bit perturbation    

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Stability of Boolean networks with state-dependent random impulses

Ya-wen Shen, Yu-qian Guo, Wei-hua Gui,shenyawen@csu.edu.cn,gyuqian@csu.edu.cn,gwh@csu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900454

Abstract: We investigate the stability of Boolean networks (BNs) with impulses triggered by both states and randomSecond, based on the stability criterion of probabilistic BNs and the criterion, the necessary and sufficient

Keywords： Boolean network with impulses     Forward completeness     Finite-time stability with probability one     Asymptotical    

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Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems Research Articles

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 260-267 doi: 10.1631/FITEE.1900312

Abstract: We aim to further study the global stability of Boolean control networks (BCNs) under aperiodic sampleddatacontrol (ASDC).According to our previous work, it is known that a BCN under ASDC can be transformed into a switched Booleannetwork (SBN), and further global stability of the BCN under ASDC can be obtained by studying the global

Keywords： Aperiodic sampled-data control     Boolean control networks     Unstable subsystem     Discretized Lyapunov function    

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Neural network control for earthquake structural vibration reduction using MRD

Khaled ZIZOUNI, Leyla FALI, Younes SADEK, Ismail Khalil BOUSSERHANE

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1171-1182 doi: 10.1007/s11709-019-0544-4

Abstract: intended for exposure to strong earthquake loads are designed and equipped with high technologies of controlOne of these technologies used in the protection of structures is the semi-active control using a MagnetoIn this study, a neural network controller is proposed to control the MR damper to eliminate vibrationsThe proposed controller is derived from a linear quadratic controller designed to control an MR damperEquipped with a feedback law the proposed control is coupled to a clipped optimal algorithm to adapt

Keywords： MR damper     semi-active control     earthquake vibration     neural network     linear quadratic control    

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Novel probabilistic rolling regular tetrahedron mechanism

Yonghan GUAN, Yan’an YAO, Chao LIU, Ruiming LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 363-378 doi: 10.1007/s11465-020-0628-9

Abstract: In this study, a novel mechanism that can conduct probabilistic rolling is proposed to reach a designatedAccording to mobility and kinematic analyses, the mechanism can implement probabilistic rolling.A kinematic simulation is conducted, and a control method is proposed on the basis of the moving pathFurthermore, the mathematical principle of probabilistic rolling is revealed in terms of probability

Keywords： mobile mechanism     probabilistic motion     rolling mechanism     stochastic motion    

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Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction

Li Yunhua,Yang Guilin

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 25-29

Abstract:

This paper surveys the development history and the relative key technology of the control and manipulatingand synthesis based on network control by field-bus control.bridge in the Shanghai suspension magnetic railway as example, the design method and control strategyof the network control system based on the configuration of the field bus control system and PC104 airborneindustrial control computer are discussed.

Keywords： construction machinery     control     manipulation     network control    

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PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 418-422 doi: 10.1007/s11465-010-0117-7

Abstract: Because it is difficult for the traditional PID algorithm for nonlinear time-variant control objectsto obtain satisfactory control results, this paper studies a neuron PID controller.The PID controller is used to control a nonlinear time-variant membrane structure inflation system.Results show that the neural network PID controller can adapt to the changes in system structure parametersand fast track the changes in the input signal with high control precision.

Keywords： PID     neural network     membrane structure    

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Risk-based probabilistic thermal-stress analysis of concrete arch dams

Narjes SOLTANI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1007-1019 doi: 10.1007/s11709-019-0521-y

Abstract: The probabilistic risk of arch dam failure under thermal loading is studied.

Keywords： arch dams     probabilistic analysis     thermal stress     sensitivity     reliability    

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Application of probabilistic risk assessment at a coking plant site contaminated by Polycyclic Aromatic

XIA Tianxiang,JIANG Lin,JIA Xiaoyang,ZHONG Maosheng,LIANG Jing

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 441-450 doi: 10.1007/s11783-013-0572-6

Abstract: Application of Probabilistic Risk Assessment (PRA) and Deterministic Risk Assessment (DRA) at a coking

Keywords： Probabilistic Risk Assessment (PRA)     a coking plant     risk     cleanup level     sensitivity analysis     polycyclic    

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Cumulant-based correlated probabilistic load flow considering photovoltaic generation and electric vehicle

Nitesh Ganesh BHAT, B. Rajanarayan PRUSTY, Debashisha JENA

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 184-196 doi: 10.1007/s11708-017-0465-7

Abstract: This paper applies a cumulant-based analytical method for probabilistic load flow (PLF) assessment in

Keywords： battery electric vehicle     extended cumulant method     photovoltaic generation     plug-in hybrid electric vehicle     probabilistic    

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Title Author Date Type Operation

Bisimulation-based stabilization of probabilisticBoolean control networkswith state feedback control

Nan JIANG, Chi HUANG, Yao CHEN, Jürgen KURTHS

Journal Article

A combined control strategy using tuned liquid dampers to reduce displacement demands of base-isolatedstructures: a probabilistic approach

Parham SHOAEI, Houtan Tahmasebi OROMI

Journal Article

Output feedback stabilizer design of Boolean networks based on network structure

Jie ZHONG, Bo-wen LI, Yang LIU, Wei-hua GUI

Journal Article

Cascading decomposition of Boolean control networks: a graph-theoreticalmethod

Yi-feng LI, Jian-dong ZHU

Journal Article

Controllability of Boolean control networks with multiple time delays in both states and controls

Yifeng LI, Lan WANG,liyifeng@cqnu.edu.cn,wanglan202212@126.com

Journal Article

Optimal one-bit perturbation in Boolean networks based on cascading aggregation

Jin-feng PAN, Min MENG

Journal Article

Stability of Boolean networks with state-dependent random impulses

Ya-wen Shen, Yu-qian Guo, Wei-hua Gui,shenyawen@csu.edu.cn,gyuqian@csu.edu.cn,gwh@csu.edu.cn

Journal Article

Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Journal Article

Neural network control for earthquake structural vibration reduction using MRD

Khaled ZIZOUNI, Leyla FALI, Younes SADEK, Ismail Khalil BOUSSERHANE

Journal Article

Novel probabilistic rolling regular tetrahedron mechanism

Yonghan GUAN, Yan’an YAO, Chao LIU, Ruiming LI

Journal Article

Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction

Li Yunhua,Yang Guilin

Journal Article

PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Journal Article

Risk-based probabilistic thermal-stress analysis of concrete arch dams

Narjes SOLTANI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Journal Article

Application of probabilistic risk assessment at a coking plant site contaminated by Polycyclic Aromatic

XIA Tianxiang,JIANG Lin,JIA Xiaoyang,ZHONG Maosheng,LIANG Jing

Journal Article

Cumulant-based correlated probabilistic load flow considering photovoltaic generation and electric vehicle

Nitesh Ganesh BHAT, B. Rajanarayan PRUSTY, Debashisha JENA

Journal Article