Implementing cut in a distributed data driven OR-parallel prolog environment

1992 ◽  
pp. 961-962
Author(s):  
Peter Kacsuk
Keyword(s):  
Data Driven ◽  
Distributed Data

Distributed data-driven optimal fault detection for large-scale systems

2020 ◽  
Vol 96 ◽  
pp. 94-103
Author(s):  
Linlin Li ◽  
Steven X. Ding ◽  
Xin Peng
Keyword(s):  
Fault Detection ◽  
Large Scale ◽  
Data Driven ◽  
Distributed Data ◽  
Large Scale Systems

DDDP-a Distributed Data Driven Processor

1983 ◽  
Vol 11 (3) ◽  
pp. 236-242 ◽  
Author(s):  
Masasuke Kishi ◽  
Hiroshi Yasuhara ◽  
Yasusuke Kawamura
Keyword(s):  
Data Driven ◽  
Distributed Data

D3W: Towards Self-Management of Distributed Data-Driven Workflows with QoS Guarantees

2016 ◽  
Author(s):  
Mengsong Zou ◽  
Javier Diaz-Montes ◽  
Kiran Nagaraja ◽  
Nimish Radia ◽  
Manish Parashar
Keyword(s):  
Data Driven ◽  
Self Management ◽  
Distributed Data ◽  
Qos Guarantees

A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications

2021 ◽  
pp. 095965182110609
Author(s):  
Huarong Zhao ◽  
Li Peng ◽  
Peiliang Wu ◽  
Hongnian Yu
Keyword(s):  
Tracking Error ◽  
Data Driven ◽  
Small Range ◽  
Distributed Data ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Bipartite Consensus ◽  
Virtual Leader

This article proposes a novel distributed data-driven bipartite consensus tracking scheme for bipartite consensus tracking problems of multi-agent systems with bounded disturbances and coopetition networks. The proposed scheme only uses the input/output data of each agent without requiring the agents’ dynamics. We obtain the equivalent dynamic linearization data model for a controlled plant using the dynamic linearization technique based on the pseudo partial derivative. Considering the cooperative and competitive interactions among agents, the proposed method ensures that agents with adversarial relationships implement bipartite consensus tracking tasks even if only a subset of agents can access the information from the virtual leader. Moreover, the strict proof process of convergence properties reveals that the tracking error coverages to a small range around the origin. We also establish a set of software and hardware platform to demonstrate the effectiveness of the proposed distributed data-driven bipartite consensus tracking method.

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