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fault detection and isolation of linear roesser systems with stochastic communications
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نویسنده
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alikhani hamid ,علیاری شوره دلی مهدی
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منبع
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كنترل - 2024 - دوره : 18 - شماره : 1 - صفحه:1 -11
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چکیده
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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.
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کلیدواژه
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fault diagnosis ,roesser systems ,stochastic communications ,two-dimensional systems
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آدرس
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k. n. toosi university of technology, faculty of electrical engineering, department of systems and control engineering, iran, k. n. toosi university of technology, faculty of electrical engineering, department of mechatronics engineering, iran
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پست الکترونیکی
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aliyari@kntu.ac.ir
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fault detection and isolation of linear roesser systems with stochastic communications
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Authors
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aliyari-shoorehdeli mahdi
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Abstract
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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.
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Keywords
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fault diagnosis ,roesser systems ,stochastic communications ,two-dimensional systems.
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