Quantifying the Dynamics of Coupled Networks of Switches and Oscillators

A fixed-time synchronization-based secure communication scheme for two-layer hybrid coupled networks

Neurocomputing ◽

10.1016/j.neucom.2020.12.033 ◽

2021 ◽

Vol 433 ◽

pp. 131-141

Author(s):

Lili Zhou ◽

Fei Tan ◽

Xiaohui Li ◽

Ling Zhou

Keyword(s):

Secure Communication ◽

Time Synchronization ◽

Fixed Time ◽

Coupled Networks ◽

Communication Scheme

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Eigenvalue based approach to pinning synchronization in general coupled networks

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

10.1109/cdc.2009.5400587 ◽

2009 ◽

Cited By ~ 2

Author(s):

Linying Xiang ◽

Jonathan J.H. Zhu

Keyword(s):

Coupled Networks

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Second-order synchronization of two nonlinear coupled networks with heterogeneous nonlinear dynamics and time-varying delays

2016 35th Chinese Control Conference (CCC) ◽

10.1109/chicc.2016.7554609 ◽

2016 ◽

Cited By ~ 1

Author(s):

Yanxin Zhang ◽

Shuang Li ◽

Bo Liu ◽

Qiang Li ◽

Hong Shi

Keyword(s):

Nonlinear Dynamics ◽

Second Order ◽

Time Varying ◽

Coupled Networks

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Performance Impact Of Switching Latency On Pre-allocation Protocols For WDM Star-coupled Networks

10.1109/leosst.1992.697434 ◽

2005 ◽

Author(s):

K. Bogineni ◽

P.W. Dowd

Keyword(s):

Performance Impact ◽

Coupled Networks

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Translucent Answer Predictions in Multi-Hop Reading Comprehension

Proceedings of the AAAI Conference on Artificial Intelligence ◽

10.1609/aaai.v34i05.6272 ◽

2020 ◽

Vol 34 (05) ◽

pp. 7700-7707

Author(s):

G P Shrivatsa Bhargav ◽

Michael Glass ◽

Dinesh Garg ◽

Shirish Shevade ◽

Saswati Dana ◽

...

Keyword(s):

Reading Comprehension ◽

Question Answering ◽

State Of The Art ◽

Local Context ◽

The Novel ◽

Loose Coupling ◽

Loosely Coupled ◽

Neural Architecture ◽

Coupled Networks ◽

Novel Design

Research on the task of Reading Comprehension style Question Answering (RCQA) has gained momentum in recent years due to the emergence of human annotated datasets and associated leaderboards, for example CoQA, HotpotQA, SQuAD, TriviaQA, etc. While state-of-the-art has advanced considerably, there is still ample opportunity to advance it further on some important variants of the RCQA task. In this paper, we propose a novel deep neural architecture, called TAP (Translucent Answer Prediction), to identify answers and evidence (in the form of supporting facts) in an RCQA task requiring multi-hop reasoning. TAP comprises two loosely coupled networks – Local and Global Interaction eXtractor (LoGIX) and Answer Predictor (AP). LoGIX predicts supporting facts, whereas AP consumes these predicted supporting facts to predict the answer span. The novel design of LoGIX is inspired by two key design desiderata – local context and global interaction– that we identified by analyzing examples of multi-hop RCQA task. The loose coupling between LoGIX and the AP reveals the set of sentences used by the AP in predicting an answer. Therefore, answer predictions of TAP can be interpreted in a translucent manner. TAP offers state-of-the-art performance on the HotpotQA (Yang et al. 2018) dataset – an apt dataset for multi-hop RCQA task – as it occupies Rank-1 on its leaderboard (https://hotpotqa.github.io/) at the time of submission.

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Multistability and gluing bifurcation to butterflies in coupled networks with non-monotonic feedback

Nonlinearity ◽

10.1088/0951-7715/22/6/007 ◽

2009 ◽

Vol 22 (6) ◽

pp. 1383-1412 ◽

Cited By ~ 9

Author(s):

Jianfu Ma ◽

Jianhong Wu

Keyword(s):

Coupled Networks

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An accelerative pre-allocation protocol for wavelength division multiplexing star-coupled networks

Proceedings IEEE International Symposium on Computers and Communications (Cat. No.PR00250) ◽

10.1109/iscc.1999.780810 ◽

2003 ◽

Cited By ~ 2

Author(s):

Chuan-Ching Sue ◽

Sy-Yen Kuo ◽

Yennun Huang

Keyword(s):

Wavelength Division Multiplexing ◽

Wavelength Division ◽

Coupled Networks

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Synchronization of Coupled Networks with Uncertainties

Abstract and Applied Analysis ◽

10.1155/2013/616289 ◽

2013 ◽

Vol 2013 ◽

pp. 1-13

Author(s):

Yi Zuo ◽

Xinsong Yang

Keyword(s):

Lyapunov Stability ◽

Stability Theory ◽

Sufficient Conditions ◽

Lyapunov Stability Theory ◽

Adaptive Controller ◽

Nonlinear Perturbations ◽

Coupled Networks ◽

Barbalat Lemma ◽

Asymptotic Synchronization ◽

Theoretical Results

Asymptotic synchronization for a class of coupled networks with nondelayed and delayed couplings is investigated. A distinct feature of the network is that all the dynamical nodes are affected by uncertain nonlinear nonidentical perturbations. In order to synchronize the network onto a given isolate trajectory, a novel adaptive controller is designed to overcome the effects of the nonidentical uncertain nonlinear perturbations. The designed controller has better robustness than classical adaptive controller, since it can realize the synchronization goal whether the nodes have these perturbations or not. Based on the Lyapunov stability theory and the Barbalat lemma, sufficient conditions guaranteeing the asymptotic synchronization of the coupled network are derived. Two examples with numerical simulations are given to illustrate the effectiveness of the theoretical results. Simulations also demonstrate that our adaptive controller has better robustness than existing ones.

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