Filters








962,600 Hits in 4.0 sec

Memory-based event-triggered secure state estimation of cyber-physical systems

沈 严, 洲 顾, 树岷 费, Zhengtao DING
2021 Scientia Sinica Informationis  
intervals under the memory-based event-triggered scheme 表 2 不同h情况下的L, Φ与触发次数 Table 2 2 L, Φ and N (number of triggering times) under different h 采用传统事件触发机制与记忆型事件触发机制进行比较, 所得仿真结果如图3和4 所示.  ...  time instants and intervals under the estimator considering the false data injection attacks 网络版彩图)传统事件触发机制下的状态响应曲线(a) 和触发时刻与触发间隔(b) Color online) (a) State responses and (b) triggering time instants and  ... 
doi:10.1360/ssi-2020-0166 fatcat:ai3tzpxrmzdoxko5pwgedd7xwy

Learning Object-Based State Estimators for Household Robots [article]

Yilun Du, Tomas Lozano-Perez, Leslie Kaelbling
2022 arXiv   pre-print
The robot may be called upon later to retrieve objects and will need a long-term object-based memory in order to know how to find them.  ...  In this paper, we combine some aspects of classic techniques for data-association filtering with modern attention-based neural networks to construct object-based memory systems that operate on high-dimensional  ...  PROBLEM FORMULATION We formalize the process of learning an object-based memory system (OBM).  ... 
arXiv:2011.03183v4 fatcat:l7qq4kmrtzcg5pkhwgr6li2gn4

Lithium Battery State-of-Charge Estimation Based on a Bayesian Optimization Bidirectional Long Short-Term Memory Neural Network

Biao Yang, Yinshuang Wang, Yuedong Zhan
2022 Energies  
for accurate SOC estimation.  ...  State of charge (SOC) is the most important parameter in battery management systems (BMSs), but since the SOC is not a directly measurable state quantity, it is particularly important to use advanced strategies  ...  Conclusions In this paper, we propose a method for lithium battery state-of-charge estimation based on Bayesian optimized bidirectional long-and short-term memory neural networks.  ... 
doi:10.3390/en15134670 fatcat:yjlwzsyedzbj3phhqd3pjjqzsu

State of Health Estimation for Lithium-ion Batteries Based on Healthy Features and Long Short-Term Memory

Yitao Wu, Qiao Xue, Jiangwei Shen, Zhenzhen Lei, Zheng Chen, Yonggang Liu
2020 IEEE Access  
To attain the precise SOH estimation, an efficient estimation manner based on machine learning is proposed in this study.  ...  Finally, the long short-term memory is established to achieve the SOH estimation of battery.  ...  Furthermore, accurate SOH also facilitates estimation of other states, including state of charge (SOC) and state of power (SOP) [16] .  ... 
doi:10.1109/access.2020.2972344 fatcat:iq2w74acwneubneeoiv56tkwfu

State of Health Estimation for Lithium-Ion Battery Based on Long Short Term Memory Networks

Zheng Chen, Xinyue Song, Renxin Xiao, Jiangwei Shen, Xuelei Xia
2019 DEStech Transactions on Environment Energy and Earth Science  
In this paper, a state of health (SOH) estimation method using long short term memory (LSTM) networks is applied to predict battery life for electric vehicles (EVs).  ...  Experimental results indicate that the LSTM networks can accurately predict battery SOH, and estimate battery degradation and internal parameter variations.  ...  This output will be based on the filtered cell state. First, a sigmoid layer is run which decides what parts of the cell state will be output.  ... 
doi:10.12783/dteees/iceee2018/27855 fatcat:2zct3mxvz5ebhkdugocvzbuu6e

Compensation Method for Estimating the State of Charge of Li-Polymer Batteries Using Multiple Long Short-Term Memory Networks Based on the Extended Kalman Filter

Donghoon Shin, Beomjin Yoon, Seungryeol Yoo
2021 Energies  
Herein, a SOC estimation method based on the EKF is proposed to obtain robust accuracy, in which the errors are compensated by a long short-term memory (LSTM) network.  ...  Many battery state of charge (SOC) estimation methods have been studied for decades; however, it is still difficult to precisely estimate SOC because it is nonlinear and affected by many factors, including  ...  Kalman Filter and SOC-OCV Estimation Based on the state equation of the equivalent circuit obtained in the previous section, OCV estimation using the Kalman filter is performed.  ... 
doi:10.3390/en14020349 fatcat:wqf6alt2jzeh5eqs7nfbxw5xua

Influence of memory effect on the state-of-charge estimation of large-format Li-ion batteries based on LiFePO 4 cathode

Wei Shi, Jiulin Wang, Jianming Zheng, Jiuchun Jiang, Vilayanur Viswanathan, Ji-Guang Zhang
2016 Journal of Power Sources  
We noticed that the memory effect of LiFePO 4 |graphite cells depends not only on the maximum state of charge reached during the memory writing process, but is also affected by the depth of discharge reached  ...  during the memory writing process.  ...  However, the success of Li-ion systems strongly depends on accurate determination of the state of charge (SOC), which has a closed relationship with cell voltages and estimation of battery performances  ... 
doi:10.1016/j.jpowsour.2016.02.041 fatcat:74od4k5pbnflbmdhfazaw7hnvq

Anomaly Monitoring Method for Key Components of Satellite

Jian Peng, Linjun Fan, Weidong Xiao, Jun Tang
2014 The Scientific World Journal  
This paper presented a fault diagnosis method for key components of satellite, called Anomaly Monitoring Method (AMM), which is made up of state estimation based on Multivariate State Estimation Techniques  ...  Then, through the actual in-orbit telemetry data of the key parameters of LIBs, we obtained the actual residual value (RX) and healthy residual value (RL) of LIBs based on the state estimation of MSET,  ...  In addition, consideration of the spend time of state estimation, the spend time of state estimation based on MSET is closely related to the number of states contained in the memory matrix , that is, the  ... 
doi:10.1155/2014/104052 pmid:24587703 pmcid:PMC3920809 fatcat:l73urbze3nbvdl6jvmcmvtzere

Fractal analysis of resting state functional connectivity of the brain

Wonsang You, Sophie Achard, Jorg Stadler, Bernd Bruckner, Udo Seiffert
2012 The 2012 International Joint Conference on Neural Networks (IJCNN)  
We propose several wavelet-based estimators of fractal connectivity and nonfractal connectivity for a multivariate fractionally integrated noise (mFIN).  ...  The performance of these estimators was evaluated through simulation studies and the analyses of resting state functional MRI data of the rat brain.  ...  We tested two wavelet-based univariate estimators of memory parameter: the wavelet-based least-mean-squares (LMS) method and the wavelet-based maximum likelihood (ML) method.  ... 
doi:10.1109/ijcnn.2012.6252657 dblp:conf/ijcnn/YouASBS12 fatcat:jv265cwjrrcvzjrhw67xi2bzrm

Enhancing Memory-Based Particle Filter with Detection-Based Memory Acquisition for Robustness under Severe Occlusion

Dan MIKAMI, Kazuhiro OTSUKA, Shiro KUMANO, Junji YAMATO
2012 IEICE transactions on information and systems  
Such better prior distributions contribute to stable estimation of target state, which is then added to memorized data.  ...  The memory-based particle filter, called M-PF, is a particle filter that predicts prior distributions from past history of target state stored in memory.  ...  This estimated target state is then added to memory and is used for creating the memory-based prior distribution in future steps.  ... 
doi:10.1587/transinf.e95.d.2693 fatcat:ezeoh2uwybffnhx4dio2gyzzri

System-level power estimation using an on-chip bus performance monitoring unit

Youngjin Cho, Younghyun Kim, Sangyoung Park, Naehyuck Chang
2008 2008 IEEE/ACM International Conference on Computer-Aided Design  
We model memory devices using energy state machines, describe them in XML, and use that description automatic synthesis of the PMU.  ...  It can easily be customized for different on-chip and off-chip memory devices, and is not dependent on a specific CPU core.  ...  Instead, most PMU-based power estimation techniques rely on cache miss counts to estimate memory power consumption [3, 4, 5, 6] .  ... 
doi:10.1109/iccad.2008.4681566 dblp:conf/iccad/ChoKPC08 fatcat:zarpnyvm65dyhm2xdsafuu4ici

Estimating Personal Model Parameters from Utterances in Model-based Reminiscence [article]

Shoki Sakai, Kazuki Itabashi, Junya Morita
2022 arXiv   pre-print
In this study, we proposed a method for estimating the internal states of users through repeated interactions with the memory model.  ...  These results support the feasibility of the interactive method for estimating human internal states, which will eventually contribute to the ability to induce memory recall and emotions for our well-being  ...  Therefore, to estimate the human internal state when using model-based reminiscence, we proposed a machine-learning based method, in which the model interactively estimates the human internal state using  ... 
arXiv:2208.07087v2 fatcat:7vryy2yms5bptdnhaknpnqua3y

Working Set-based Physical Memory Ballooning

Jui-Hao Chiang, Han-Lin Li, Tzi-cker Chiueh
2013 IEEE International Conference on Autonomic Computing  
To give each VM just enough physical memory equal to its true working set (TWS), we propose a TWS-based memory ballooning mechanism that takes away all unneeded physical memory from a VM without affecting  ...  Compared with a state-of-the-art commercial hypervisor, this working setbased memory virtualization technique is able to produce noticeably more effective reduction in physical memory consumption under  ...  machine raises the VM's current WSS estimate by the sum of the observed swapin and refault event counts, and enters the COOL DOWN state, regardless of whether the finite-state machine was originally in  ... 
dblp:conf/icac/ChiangLC13 fatcat:vp5nxnz2ebgnnmzwvijq3yujvu

Schedule-aware performance estimation of communication architecture for efficient design space exploration

Sungchan Kim, Chaeseok Im, Soonhoi Ha
2005 IEEE Transactions on Very Large Scale Integration (vlsi) Systems  
We propose a static performance-estimation technique based on a queueing analysis assuming that the memory traces and the task schedule information are given.  ...  Since communication overhead is dynamic and unpredictable due to bus contention, a simulation-based approach seems inevitable for accurate performance estimation.  ...  Base Queueing Model for a Single I/O Bus A base estimation technique using a queueing model for a fixed priority based I/O bus is reviewed in this section.  ... 
doi:10.1109/tvlsi.2004.842912 fatcat:opgpu7rqszgidl35abhnm64se4

Schedule-aware performance estimation of communication architecture for efficient design space exploration

Sungchan Kim, Chaeseok Im, Soonhoi Ha
2003 Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign & system synthesis - CODES+ISSS '03  
We propose a static performance-estimation technique based on a queueing analysis assuming that the memory traces and the task schedule information are given.  ...  Since communication overhead is dynamic and unpredictable due to bus contention, a simulation-based approach seems inevitable for accurate performance estimation.  ...  Base Queueing Model for a Single I/O Bus A base estimation technique using a queueing model for a fixed priority based I/O bus is reviewed in this section.  ... 
doi:10.1145/944696.944697 fatcat:nqtqnhgydvaivkcomen4zwszqm
« Previous Showing results 1 — 15 out of 962,600 results