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JoC 2024, 18(1): 1-11 |
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Aliyari-Shoorehdeli M, Alikhani H. Fault Detection and Isolation of Linear Roesser Systems with Stochastic Communications. JoC 2024; 18 (1) :1-11
URL: http://joc.kntu.ac.ir/article-1-1043-en.html
URL: http://joc.kntu.ac.ir/article-1-1043-en.html
1- Department of Systems and Control Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
2- Department of Mechatronics Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
2- Department of Mechatronics Engineering, Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Abstract: (290 Views)
This paper addresses the problem of the fault detection and isolation of the two-dimensional (2D) linear Roesser systems with stochastic communication. Stochastic data transmission from the plant to the observer through the network is considered to reduce the required bandwidth of the communication network significantly. In this regard, the fault detection and isolation problem, while being robust with respect to the disturbances, is modeled as two H_∞ and a H_- optimization problems. The overall design approach of the observer with stochastic data transmission is proposed as a linear optimization problem with linear matrix inequality (LMI) constraints to get the best robust performance in fault detection and isolation while maintaining the stability of the observer. Finally, the effectiveness of the developed robust fault detection and isolation observer with stochastic reduced output data transmission is shown through some simulations.
Type of Article: Research paper |
Subject:
Special
Received: 2023/04/3 | Accepted: 2023/10/3 | Published: 2024/06/20
Received: 2023/04/3 | Accepted: 2023/10/3 | Published: 2024/06/20
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