This paper presents a novel adaptive fault-tolerant control (AFTC) framework for systems with piezoelectric sensor patches, specifically targeting sensor faults and external disturbances. The proposed method ensures robust control of cantilever thick plates by integrating adaptive estimation to simultaneously handle sensor faults and system uncertainties, maintaining stability despite issues like drift, bias, loss of accuracy, and effectiveness. Unlike traditional approaches that address sensor faults individually, our method provides a comprehensive solution backed by Lyapunov-based stability analysis, demonstrating uniform ultimate boundedness under various fault conditions.
View Article and Find Full Text PDFNitric Oxide (NO) provides myocardial oxygen demands of the heart during exercise and cardiac pacing and also prevents cardiovascular diseases such as atherosclerosis and platelet adhesion and aggregation. However, the direct in vivo measurement of NO in coronary arteries is still challenging. To address this matter, a mathematical model of dynamic changes of calcium and NO concentration in the coronary artery was developed for the first time.
View Article and Find Full Text PDFThis paper uses the singular value decomposition approach to find the optimal distribution of a set of piezoelectric actuators and sensors in order to suppress the vibrations of a thick plate. The dynamic model of the system is derived using Mindlin plate theory and consequently, the finite difference method is employed to divide the thick plate to a finite number of nodes with appropriate horizontal and vertical distances. To compute the control force of piezoelectric actuators, the singular value decomposition approach for the column control matrix is supposed as the fitness function of an optimization problem.
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