A survey of distributed optimization

Yang, Tao; Yi, Xinlei; Wu, Junfeng; Yuan, Ye; Wu, Di; Meng, Ziyang; Ye, Hong; Wang, Hong; Lin, Zongli; Johansson, Karl Henrik

doi:10.1016/j.arcontrol.2019.05.006

Cited by 657 publications

(302 citation statements)

References 201 publications

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“…In this subsection, we briefly review the generalized Lagrange multiplier method (GLMM) in [11] for solving problem (2). Define compact variables λ = col(λ 1 , .…”

Section: A Generalized Lagrange Multiplier Methodsmentioning

confidence: 99%

Smooth Dynamics for Distributed Constrained Optimization With Heterogeneous Delays

Yamashita

Hatanaka

et al. 2020

IEEE Control Syst. Lett.

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This work investigates the distributed constrained optimization problem under inter-agent communication delays from the perspective of passivity. First, we propose a continuoustime algorithm for distributed constrained optimization with general convex objective functions. The asymptotic stability under general convexity is guaranteed by the phase lead compensation. The inequality constraints are handled by adopting a projectionfree generalized Lagrangian, whose primal-dual gradient dynamics preserves passivity and smoothness, enabling the application of the LaSalle's invariance principle in the presence of delays. Then, we incorporate the scattering transformation into the proposed algorithm to enhance the robustness against unknown and heterogeneous communication delays. Finally, a numerical example of a matching problem is provided to illustrate the results.

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“…In this subsection, we briefly review the generalized Lagrange multiplier method (GLMM) in [11] for solving problem (2). Define compact variables λ = col(λ 1 , .…”

Section: A Generalized Lagrange Multiplier Methodsmentioning

confidence: 99%

Smooth Dynamics for Distributed Constrained Optimization With Heterogeneous Delays

Yamashita

Hatanaka

et al. 2020

IEEE Control Syst. Lett.

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“…In terms analysis of migration can be found connection with simulations of the process of architecture and development of tourism with help multiagent systems (Bai 2013). Other suitable examples of using multi-agent systems can be found in (Yang et al 2019), (Deng et al 2018), (Valbuena et al 2008), and (Charnley et al 2019).…”

Section: Germanymentioning

confidence: 99%

Local Extremes of Selected Industry 4.0 Indicators in the European Space—Structure for Autonomous Systems

Botlíková

Botlík

2020

JRFM

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In the past, the social and economic impacts of industrial revolutions have been clearly identified. The current Fourth Industrial Revolution (Industry 4.0) is characterized by robotization, digitization, and automation. This will transform the production processes, but also the services or financial markets. Specific groups of people and activities may be replaced by new information technologies. Changes represent an extreme risk of economic instability and social change. The authors described available published sources and selected a group of indicators related to Industry 4.0. The indicators were divided into five groups and summarized by negative or positive impact. The indicators were analyzed by precedence analysis. Extremes in the geographical dislocation of factor values were found. Furthermore, spatial dependencies in the distribution of these extremes were found by calculating multiple (long) precedencies. European countries were classified according to individual groups of indicators. The results were compared with the real values of the indicators. The indicated extremes and their distribution will allow to predict changes in the behavior of the population given by changes in the socio-economic environment. The behavior of the population can be described by the behavior of autonomous systems on selected infrastructure. The paper presents research related to the creation of a multiagent model for the prediction of spatial changes in population distribution induced by Industry 4.0.

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“…In terms analysis of migration can be found connection with simulations of the process of architecture and development of tourism with help multiagent systems [19]. Other suitable examples of using multi-agent systems and simulation can be found in [20], [21], [22], [23].…”

Section: Current State Of Knowledgementioning

confidence: 99%

Movement of autonomous systems after selected infrastructure as a globalization effect induced by initiate Industry 4.0

Botlík¹

2020

SHS Web Conf.

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The replacement of specialized, highly sophisticated human work with systems using artificial intelligence is one of the features of the 4th Industrial Revolution known as Industry 4.0. The upcoming innovations and transformations of production processes, the digitized of information and the automation will bring about changes at the social level. These are mainly changes in the company’s behavior. There is a significant risk for specific groups of people, especially those that can be replaced by new information technologies. In the context of the current sixth wave of globalization, new forms of migration of people and capital can be expected related to transnational nature of productive activities, the global form of communications and information. In the context of socio-economic structures, an individual is confronted with a set of factors. The aim of an individual’s behavior is usually to change his localization with respect to the values of the preferred socioeconomic variables, such as availability of work, safety, air quality, etc. On the other hand, the position of an individual will influence the values of socio-economic variables. Behavior can be simulated using multiagent systems. The paper informs about the first phase of the research. Local maxima of factor values were identified.

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A survey of distributed optimization

Cited by 657 publications

References 201 publications

Smooth Dynamics for Distributed Constrained Optimization With Heterogeneous Delays

Smooth Dynamics for Distributed Constrained Optimization With Heterogeneous Delays

Local Extremes of Selected Industry 4.0 Indicators in the European Space—Structure for Autonomous Systems

Movement of autonomous systems after selected infrastructure as a globalization effect induced by initiate Industry 4.0

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