An optimization method of UFLS/UVLS considering the interaction of system state information

2018 ◽  
Vol 14 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Yi Tang ◽  
Mengya Li ◽  
Jianming Wang ◽  
Feng Li ◽  
Jia Ning
Keyword(s):  
Optimization Method ◽  
System State ◽  
State Information

scholarly journals Seismic Resilience Enhancement of Urban Water Distribution System Using Restoration Priority of Pipeline Damages

2020 ◽  
Vol 12 (3) ◽  
pp. 914
Author(s):  
Zhao Han ◽  
Donghui Ma ◽  
Benwei Hou ◽  
Wei Wang
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Discrete Event ◽  
Cost Benefit ◽  
Optimization Method ◽  
Relative Difference ◽  
Evaluation Framework ◽  
System State ◽  
Seismic Resilience

The malfunction of the water distribution system (WDS) following severe earthquakes have significant impacts on the post-earthquake rescue. Moreover, the restoration priority of earthquake-induced pipeline damages plays an important role in improving the post-earthquake serviceability of WDS and the “seismic resilience”. Thus, to enhance the seismic resilience of WDS, this study develops a dynamic cost-benefit method and introduces three existing methods to determine the restoration priority of pipeline damages based on a quantitative resilience evaluation framework. In this resilience evaluation framework, the restoration priority is firstly determined. Then the time-varying performance of post-earthquake WDS is modeled as a discrete event dynamic system. In this model, the system state changes after the reparation of pipeline damage, and the system performance is simulated by a hydraulic model to be consistent with the system state. In this study, this method is also tested and compared with other existing methods, and the results show that the system resilience corresponding to the restoration priority obtained by this method is close to that obtained by the global optimization method with a relative difference of less than 3%, whereas the calculation complexity is about 0.4% of the optimization model. It is concluded that this proposed method is valid.

scholarly journals Reconstructing dynamic molecular states from single-cell time series

2016 ◽  
Vol 13 (122) ◽  
pp. 20160533 ◽  
Author(s):  
Lirong Huang ◽  
Loic Pauleve ◽  
Christoph Zechner ◽  
Michael Unger ◽  
Anders S. Hansen ◽  
...  
Keyword(s):  
Single Cell ◽  
Experimental Techniques ◽  
Protein Abundance ◽  
System State ◽  
Expression Systems ◽  
Full System ◽  
State Information ◽  
Infinite Dimensional ◽  
Consistent Manner ◽  
Cell Data

The notion of state for a system is prevalent in the quantitative sciences and refers to the minimal system summary sufficient to describe the time evolution of the system in a self-consistent manner. This is a prerequisite for a principled understanding of the inner workings of a system. Owing to the complexity of intracellular processes, experimental techniques that can retrieve a sufficient summary are beyond our reach. For the case of stochastic biomolecular reaction networks, we show how to convert the partial state information accessible by experimental techniques into a full system state using mathematical analysis together with a computational model. This is intimately related to the notion of conditional Markov processes and we introduce the posterior master equation and derive novel approximations to the corresponding infinite-dimensional posterior moment dynamics. We exemplify this state reconstruction approach using both in silico data and single-cell data from two gene expression systems in Saccharomyces cerevisiae , where we reconstruct the dynamic promoter and mRNA states from noisy protein abundance measurements.

scholarly journals Distributed Parameter State Estimation for the Gray–Scott Reaction-Diffusion Model

Systems ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 71
Author(s):  
Petro Feketa ◽  
Alexander Schaum ◽  
Thomas Meurer
Keyword(s):  
Finite Number ◽  
Exponential Convergence ◽  
Reaction Diffusion ◽  
Distributed Parameter ◽  
System State ◽  
State Information ◽  
One Dimensional ◽  
Reaction Diffusion Model ◽  
Complete State ◽  
The One

A constructive approach is provided for the reconstruction of stationary and non-stationary patterns in the one-dimensional Gray-Scott model, utilizing measurements of the system state at a finite number of locations. Relations between the parameters of the model and the density of the sensor locations are derived that ensure the exponential convergence of the estimated state to the original one. The designed observer is capable of tracking a variety of complex spatiotemporal behaviors and self-replicating patterns. The theoretical findings are illustrated in particular numerical case studies. The results of the paper can be used for the synchronization analysis of the master–slave configuration of two identical Gray–Scott models coupled via a finite number of spatial points and can also be exploited for the purposes of feedback control applications in which the complete state information is required.

A Framework for OpenCL Task Scheduling on Heterogeneous Multicores

2017 ◽  
Vol 27 (03n04) ◽  
pp. 1750008 ◽  
Author(s):  
Anirban Ghose ◽  
Lokesh Dokara ◽  
Soumyajit Dey ◽  
Pabitra Mitra
Keyword(s):  
State Of The Art ◽  
System State ◽  
State Information ◽  
Heterogeneous Multicore ◽  
Heterogeneous Platform ◽  
Scheduling Strategy ◽  
Current State ◽  
Multiple Devices ◽  
Scheduling Strategies ◽  
Programming Interfaces

We present an intelligent scheduling framework which takes as input a set of OpenCL kernels and distributes the workload across multiple CPUs and GPUs in a heterogeneous multicore platform. The framework relies on a Machine Learning (ML) based frontend that analyzes static program features of OpenCL kernels and predicts the ratio in which kernels are to be distributed across CPUs and GPUs. The framework provides such static analysis information along with system state information like runtime availability details of computing cores using well defined programming interfaces. Such interfaces are to be utilized by a user specified scheduling strategy. Given such a scheduling strategy, the framework generates device specific binaries and dispatches them across multiple devices in the heterogeneous platform as per the strategy. We test our scheduling framework extensively using different OpenCL task mixes of varying sizes and computational nature. Along with the scheduling framework, we propose a set of novel partition-aware scheduling strategies for heterogeneous multicores. Our proposed approach yields considerably better results in terms of schedule makespan when compared with the current state of the art ML based methods for scheduling of OpenCL workloads across heterogeneous multicores.

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