Average observability of large-scale network systems

被引：0
|
作者：
Niazi, Muhammad Umar B. [1 ]
Canudas-de-Wit, Carlos [1 ]
Kibangou, Alain Y. [2 ]
机构：
[1] CNRS, GIPSA Lab, Grenoble, France
[2] Univ Grenoble Alpes, CNRS, INRIA, GIPSA Lab,Grenoble INP, Grenoble, France
来源：
2019 18TH EUROPEAN CONTROL CONFERENCE (ECC) | 2019年
基金：
欧洲研究理事会;
关键词：
Large-scale systems; state aggregation; average observability; average detectability; CONTROLLABILITY; REDUCTION; GRAPHS;
D O I：
10.23919/ecc.2019.8795929
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses observability and detectability of the average state of a network system when few gateway nodes are available. To reduce the complexity of the problem, the system is transformed to a lower dimensional state space by aggregation. The notions of average observability and average detectability are then defined, and the respective necessary and sufficient conditions are provided.
引用
收藏
页码：1506 / 1511
页数：6
相关论文
共 50 条
  • [1] Average State Observers for Large-Scale Network Systems
    Sadamoto, Tomonori
    Ishizaki, Takayuki
    Imura, Jun-ichi
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2017, 4 (04): : 761 - 769
  • [2] Average State Estimation in Large-Scale Clustered Network Systems
    Niazi, Muhammad Umar B.
    Canudas-de-Wit, Carlos
    Kibangou, Alain Y.
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (04): : 1736 - 1745
  • [3] Improving Observability of Large-Scale Systems by Iterative Weighting Adjustment
    Faber, Richard
    Arellano-Garcia, Harvey
    Li, Pu
    Wozny, Guenter
    16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, 2006, 21 : 1467 - 1472
  • [4] Clustering-based average state observer design for large-scale network systems
    Niazi, Muhammad Umar B.
    Cheng, Xiaodong
    Canudas-de-Wit, Carlos
    Scherpen, Jacquelien M. A.
    AUTOMATICA, 2023, 151
  • [5] Scale-Free Estimation of the Average State in Large-Scale Systems
    Niazi, Muhammad Umar B.
    Deplano, Diego
    Canudas-de-Wit, Carlos
    Kibangou, Alain Y.
    IEEE CONTROL SYSTEMS LETTERS, 2020, 4 (01): : 211 - 216
  • [6] EFFICIENT ALGORITHM FOR DETERMINING CONTROLLABILITY AND OBSERVABILITY OF LARGE-SCALE COMPOSITE SYSTEMS
    SINHA, NK
    ELSHERIEF, H
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1978, 9 (11) : 1295 - 1302
  • [7] Observability Analysis for Large-Scale Power Systems Using Factor Graphs
    Cosovic, Mirsad
    Delalic, Muhamed
    Raca, Darijo
    Vukobratovic, Dejan
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 36 (05) : 4791 - 4799
  • [8] State Variance Estimation in Large-Scale Network Systems
    Niazi, Muhammad Umar B.
    Canudas-de-Wit, Carlos
    Kibangou, Alain Y.
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 6052 - 6057
  • [9] Survey on Large-scale Graph Neural Network Systems
    Zhao G.
    Wang Q.-G.
    Yao F.
    Zhang Y.-F.
    Yu G.
    Ruan Jian Xue Bao/Journal of Software, 2022, 33 (01): : 150 - 170
  • [10] Reliability Modeling and Optimization for Large-Scale Network Systems
    Meng, Sa
    Dai, Yuanshun
    Luo, Liang
    Liu, Chang
    2019 COMPANION OF THE 19TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS-C 2019), 2019, : 528 - 529
12345