The emergence of controllable transient behavior using an agent diversification strategy

Harada, Kouji; Kinoshita, Tetsuo; Shiratori, Norio

doi:10.1109/tsmca.2003.817373

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…The lower support disc's bottom surface is exposed to sinusoidal displacement signals of varying amplitudes at a maximum operating frequency of 10 Hz in order to simulate the output displacement excitation of the piezoelectric actuator. This allows for evaluation of the tensioning output performance of the platform under certain input displacements by transient dynamics simulation [28]. During the simulation, the input displacement amplitude was set to several segments between 10 µm and 100 µm.…”

Section: Dynamic Tensioning Performancementioning

confidence: 99%

Research on the Vibration Reduction Mechanism of a New Tensioning Platform with an Embedded Superstructure

Sun

Zhou

et al. 2023

Actuators

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Aiming at the problem of precision driving and vibration suppression for sensitive payloads on-orbit, this paper proposes a new compliant platform based on an embedded superstructure and a smart material actuator. Firstly, the main structure of the platform is designed and optimized to achieve the expected indicators via the response surface method. Then, the vibration reduction mechanism of the platform with the embedded superstructure is studied by establishing an equivalent model. Following that, a four-phase superstructure is matched and designed with a compact space, and the results are verified by finite element modal analysis. Finally, both the tensioning performance and vibration reduction performance under fixed frequency harmonic disturbance are studied via transient dynamic simulation. Based on the obtained results, directions for future improvements are proposed. The relevant conclusions can provide a reference for function integration of precision tensioning and vibration suppression.

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Section: Dynamic Tensioning Performancementioning

confidence: 99%

Research on the Vibration Reduction Mechanism of a New Tensioning Platform with an Embedded Superstructure

Sun

Zhou

et al. 2023

Actuators

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“…emergence, which also means "the whole is not equal to the sum of its parts". In the biological systems, the whole is more than the sum of the systems' parts because of the interactions among the components, just as emergent behaviors in other complex systems [4][5][6]. In order to investigate the complex biological behavior, it is necessary to develop nonlinear mathematical models and software to provide powerful numerical analysis methods.…”

Section: Introductionmentioning

confidence: 99%

Multi-agent-based bio-network simulation platform for systems biology

Ren

Lin

Ding

2008

2008 7th World Congress on Intelligent Control and Automation

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Recently, a collective effort from multiple research areas has been made to understand biological systems at the system level. These researches require the ability to simulate particular biological systems as cells, organs, organisms and communities. In this paper, a novel bio-network simulation platform is proposed for system biology studies by combining agent approaches. We consider a biological system as a set of active computational components interacting with each other and with an external environment. Then, we propose a bio-network platform for simulating the behaviours of biological systems, and modelling them in terms of bio-entities and society-entities. As a demonstrate, we discuss how a protein-protein interaction (PPI) network can be seen as a society of autonomous interactive components. Interactions among the small PPI networks can emerge a large PPI network which has its remarkable ability to accomplish a complex function or task. Based on the proposed approach, various simulators with different functions can be embedded in the simulation platform, and further researches can be done from design to development, and complexity validation of biological system.

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Bio‐entity network for analysis of protein–protein interaction networks

Ren

Shen

Ding

et al. 2011

Asian Journal of Control

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Protein–protein interactions (PPIs) are vitally important for every process in a living cell. Information about these interactions can improve our understanding of diseases and provide the basis to revolutionize therapeutic treatments. However, since PPIs are involved with extremely complicated biological processes, it is necessary to develop novel tools to deal with this kind of network systems. To realize this, a bio‐entity network approach is introduced to show the topology structure of dynamic and collective performances of PPI networks and analyze the variance of the protein node that plays an important role in the PPI network. Also, spectrum analysis is used to capture the discrete and stochastic feature of PPIs. The yeast protein interaction network is considered as a paradigm. It is demonstrated that the proposed approach can easily and clearly identify the hub‐proteins that have the most impact on the PPI system concerned. It is expected that the bio‐entity network approach as presented in this paper might become a useful tool in system biology.Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society

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The emergence of controllable transient behavior using an agent diversification strategy

Cited by 7 publications

References 21 publications

Research on the Vibration Reduction Mechanism of a New Tensioning Platform with an Embedded Superstructure

Research on the Vibration Reduction Mechanism of a New Tensioning Platform with an Embedded Superstructure

Multi-agent-based bio-network simulation platform for systems biology

Bio‐entity network for analysis of protein–protein interaction networks

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