2021
DOI: 10.3390/pr9122127
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T-S Fuzzy Model-Based Fault Detection for Continuous Stirring Tank Reactor

Abstract: Continuous stirring tank reactors are widely used in the chemical production process, which is always accompanied by nonlinearity, time delay, and uncertainty. Considering the characteristic of the actual reaction of the continuous stirring tank reactors, the fault detection problem is studied in terms of the T-S fuzzy model. Through a fault detection filter performance analysis, the sufficient condition for the filtering error dynamics is obtained, which meets the exponential stability in the mean square sens… Show more

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Cited by 6 publications
(4 citation statements)
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“…Based on (36), pre-and post-multiplying inequality (35) by diag{I, I, I, I, I, Ñ, Ñ} and its transposition, we yield…”
Section: Parameter Design Of Observer and Pid Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…Based on (36), pre-and post-multiplying inequality (35) by diag{I, I, I, I, I, Ñ, Ñ} and its transposition, we yield…”
Section: Parameter Design Of Observer and Pid Controllermentioning
confidence: 99%
“…In reality, the time delay phenomenon exists in numerous engineering systems such as chemical processes, electric power systems, mechanical transmission systems, traffic systems, and aerospace systems, which may occur during the measurement process of sensors or the transmission process of signals [35][36][37]. For time-delayed systems, the changing tendency of the state depends on not only the current state but also the previous states [38,39].…”
Section: Introduction 1engineering Background Research Status and Mot...mentioning
confidence: 99%
“…To solve this problem, numerous scholars have conducted research on the pulse cleaning process through numerical simulation [12][13][14] or experiments [15][16][17][18][19]. Signal processing technology [20][21][22][23][24][25][26] and high-speed cameras are required for experimentation purposes, while professional fluid analysis software is needed for numerical simulation [27]. Many…”
Section: Introductionmentioning
confidence: 99%
“…In [13], the two-level fuzzy feedback scheduling scheme is designed to adjust the task priority and period according to the combined effects of the response time and packet loss of cyber-physical systems for robot control, proving that fuzzy control has fast and accurate response performance in real-time systems. In [14], according to the characteristics of the actual reaction of the continuous stirred tank reactor, the T-S fuzzy model is used to study the problem of fault detection. In addition, the fuzzy controller is also used in the medical field, such as the fuzzy control-based energy aware routing protocol (EARP) applied in wireless body area networks (WBANs) [15] and combined with sliding mode control applied in gyroscope control systems [16,17].…”
Section: Introductionmentioning
confidence: 99%