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Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling [article]

Josue Nassar, Scott W. Linderman, Monica Bugallo, Il Memming Park
2019 arXiv   pre-print
We call it the tree-structured recurrent switching linear dynamical system.  ...  Our probabilistic model achieves this multi-scale property through a hierarchy of locally linear dynamics that jointly approximate global nonlinear dynamics.  ...  TREE-STRUCUTRED RECURRENT SWITCHING LINEAR DYNAMICAL SYSTEMS Building upon the rSLDS, we propose the tree-structured recurrent switching linear dynamical system (TrSLDS) .  ... 
arXiv:1811.12386v6 fatcat:ftgnqj7jfvelbi6j7ywri6rzqq

A Hybrid Degradation Modeling and Prognostic Method for the Multi-Modal System

Jun Peng, Shengnan Wang, Dianzhu Gao, Xiaoyong Zhang, Bin Chen, Yijun Cheng, Yingze Yang, Wentao Yu, Zhiwu Huang
2020 Applied Sciences  
Firstly, the cumulative dynamic differential health indicator is constructed for the multi-modal switching system using a multi-objective optimization approach.  ...  To address this challenge, a hybrid degradation modeling and prognostic method for the multi-modal system is proposed.  ...  The cumulative dynamic physical difference feature consists of the above four parts for the multi-modal system to extract the switching order of modes.  ... 
doi:10.3390/app10041378 fatcat:mxzny6db5vftdn7xpwgg6vn3gq

Metastable Resting State Brain Dynamics

Peter beim Graben, Antonio Jimenez-Marin, Ibai Diez, Jesus M. Cortes, Mathieu Desroches, Serafim Rodrigues
2019 Frontiers in Computational Neuroscience  
Here, we apply this recurrence structure analysis (RSA) for the first time to resting-state brain dynamics obtained from functional magnetic resonance imaging (fMRI).  ...  In link with this finding, we reflect on the different modeling frameworks that can allow for such scenarios: heteroclinic dynamics, dynamics with riddled basins of attraction, multiple-timescale dynamics  ...  To begin, we first assume that the brain (and associated processes) can be explained by some suitable complex multi-scale dynamical system.  ... 
doi:10.3389/fncom.2019.00062 pmid:31551744 pmcid:PMC6743347 fatcat:xotgseqzpbghxi7dk7erjc2csy

Book announcements

1993 Discrete Applied Mathematics  
Modeling time lags. Parallel and multi- product production-inventory systems. Joint purchase limits, Other time-phased models, Dynamic models as layered time slices.  ...  Problem of dimensionality in dynamic programming. Solutions of linear programs by dynamic program- ming. Decision trees. Decisions under uncertainty. Game theory.  ...  Linear estimation of location and scale parameters. Prediction or order statistics. Distribution-free confidence and tolerance intervals. Goodness-of-fit tests. Other applications,  ... 
doi:10.1016/0166-218x(93)90030-r fatcat:ss6bl44ckvh63gsk22rycr44ja

Table of Content

2020 2020 28th Iranian Conference on Electrical Engineering (ICEE)  
linear systems . 1045 Observer-based Stabilization for a class of Chaotic System in the Presence of Disturbance and Nonlinear Function: an LMI approach.................................................  ...  ......................................................... 1629 Event-based consensus of hybrid multi-agent systems under fixed and switching topologies ............... 1634 Caching Placement and Offloading  ... 
doi:10.1109/icee50131.2020.9260902 fatcat:7gs43h5sqraabcu35jsrax4cqu

2019 Index IEEE Transactions on Fuzzy Systems Vol. 27

2019 IEEE transactions on fuzzy systems  
., +, TFUZZ April 2019 810-815 Trees (mathematics) A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System.  ...  ., +, TFUZZ Jan. 2019 31-44 LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.  ...  Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil  ... 
doi:10.1109/tfuzz.2020.2966828 fatcat:pgfo5oksjrdbpa5s534ky74bie

2020 Index IEEE Transactions on Parallel and Distributed Systems Vol. 31

2021 IEEE Transactions on Parallel and Distributed Systems  
Wang, P., +, TPDS Jan. 2019 133-145 Managing Recurrent Virtual Network Updates in Multi-Tenant Datacenters: A System Perspective.  ...  Chen, L., +, TPDS Nov. 2019 2536-2546 Tree data structures Efficient Concurrent Search Trees Using Portable Fine-Grained Locality.  ... 
doi:10.1109/tpds.2020.3033655 fatcat:cpeatdjlpzhqdersvsk5nmzjkm

2015 Index IEEE Transactions on Automatic Control Vol. 60

2015 IEEE Transactions on Automatic Control  
Patel, R., +, TAC Dec. 2015 3156-3167 Robustness of Stochastic Discrete-Time Switched Linear Systems With Ap-Game-Theoretic Analysis of the Hegselmann-Krause Model for Opinion Dynamics in Finite Dimensions  ...  ., +, TAC Oct. 2015 2599-2613 Model Predictive Control for Linear Impulsive Systems. Sopasakis, P., +, TAC Aug. 2015 2277-2282 Model Reduction Near Periodic Orbits of Hybrid Dynamical Systems.  ... 
doi:10.1109/tac.2015.2512305 fatcat:5gut6qeomfh73fwfvehzujbr5q

Multi-log processor - towards scalable event-driven multiprocessors

V. Viswanath
2004 Euromicro Symposium on Digital System Design, 2004. DSD 2004.  
We also propose an instruction set architecture for the Multi-¥ ¦ processor and give a programming model for eventdriven applications.  ...  Given billion transistors on a single chip, the Multi-¥ ¦ I architecture would have ¥ ¦ s on chip, while the Multi-¥ ¦ II architecture would allow for ! ¥ ¦ s on chip.  ...  A tree-structure has advantages for clock and power distribution too.  ... 
doi:10.1109/dsd.2004.1333288 dblp:conf/dsd/Viswanath04 fatcat:x65exr73u5dprn3akdyct46agu

2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31

2020 IEEE Transactions on Neural Networks and Learning Systems  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TNNLS April 2020 1401-1409 Adaptive Global Sliding-Mode Control for Dynamic Systems Using Dou-ble Hidden Layer Recurrent Neural Network Structure.  ...  An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables.  ... 
doi:10.1109/tnnls.2020.3045307 fatcat:34qoykdtarewhdscxqj5jvovqy

Book report

1999 Computers and Mathematics with Applications  
Multi-time models for temporally abstract planning (Doina Precup and Richard S. Sutton). How to dynamically merge Markov decision processes (Satinder Singh and David Cohn).  ...  A non-parametric multi-scale statistical model for natural images (Jeremy S. De Boner and Paul A. Viola). Recovering perspective pose with a dual step EM algorithm (Andrew D.J. Cross and Edwin R.  ... 
doi:10.1016/s0898-1221(98)00257-0 fatcat:q6vnftnmrjgkdbfav74pfyxbwa

An Advanced Learning-Based Multiple Model Control Supervisor for Pumping Stations in a Smart Water Distribution System

Alexandru Predescu, Ciprian-Octavian Truică, Elena-Simona Apostol, Mariana Mocanu, Ciprian Lupu
2020 Mathematics  
A multi-domain approach is required fordesigning modern solutions for the existing infrastructure, including control and monitoring systems,data science and Machine Learning.  ...  This paper presents a monitoring and control machine learning-basedarchitecture for a smart water distribution system.  ...  Multiple Model Control Advanced control systems for large-scale models are simplified with multiple model control structures, where multiple linear models can be defined to cover the non-linear operating  ... 
doi:10.3390/math8060887 fatcat:5xfrwifmr5hx5mnj432cohp6ma

Forced Vibration Analysis of a Beam Structure with Nonlinear Support Elements

Takumi SASAKI, Takahiro KONDOU
2008 Journal of System Design and Dynamics  
In addition, stability analysis using a reduction model is applied to the periodic solution obtained for the three-dimensional tree structure.  ...  The validity of the incremental transfer stiffness coefficient method and the method of stability analysis using the reduction model for three-dimensional tree structures is confirmed by the numerical  ...  Computational model The computational model of a three-dimensional tree structure is shown in Fig. 4 .  ... 
doi:10.1299/jsdd.2.810 fatcat:coorckajgzan7lqv3tkihiavk4

Switching between reading tasks leads to phase-transitions in reading times in L1 and L2 readers

Sebastian Wallot, Jun Taek Lee, Damian G. Kelty-Stephen, Veronica Whitford
2019 PLoS ONE  
The stability assumptions of the reading process suggest that the cognitive system resolves this switching between two tasks quickly.  ...  Using the nonlinear-dynamical tool of recurrence quantification analysis, we test these predictions by examining series of individual word reading times in self-paced reading tasks where native (L1) and  ...  The recurrent structure across button presses indicates that each single response reflects a longer-scale appreciation of longer-scale relationship across the different words.  ... 
doi:10.1371/journal.pone.0211502 pmid:30721245 pmcid:PMC6363172 fatcat:odboj34xszdadomqjw6fsk54m4

Stochastic Processing Networks

Ruth J. Williams
2016 Annual Review of Statistics and Its Application  
Stochastic processing networks arise as models in manufacturing, telecommunications, transportation, computer systems, the customer service industry and biochemical reaction networks.  ...  , which generalizes the single tree structure of such systems under complete resource pooling.  ...  As a step in this direction, in recent work, Pesic & Williams (2015) have explored partial pooling in parallel server systems based on a "forest of trees" structure that they derived for these systems  ... 
doi:10.1146/annurev-statistics-010814-020141 fatcat:7mcq3ujtrnh4jnx63kp7xpgydy
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