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Identification of steady state is an important task for satisfactory control of many processes. Due to the disadvantages of the traditional steady-state identification (SSI) methods, the adaptive polynomial filtering (APF) method was used for SSI in this paper. Furthermore, the presence of gross errors can corrupt the steady-state identification method, giving undesirable results. The APF steady-state...
The procedure is reviewed based on minimum variance (MV) and Diophantine decomposition for the parallel cascade control system. A novel method is derived based on the previous methods in this paper. The optimal controllers can be obtained directly by using the decomposition technique of Diophantine equations other than the closed loop operating data. Besides, the theoretical performance bound can...
Pathological changes are associated with changes in the mechanical properties of tissue. Thus, the elasticity of soft tissues is of great significance to disease diagnosis. Due to the particular position of the thyroid, most conventional imaging examination methods could not directly provide mechanical properties. Ultrasound elasticity imaging shows the abnormal of the thyroid with a strain map and...
An evolutionary algorithm based on the parallel evolution of multiple single objective populations and Pareto archive population is proposed, which is not only suitable for solving multi-objective optimization, but also effective for multimodal function. For each single objective population, single objective evolutionary algorithm is applied to optimize separately each of multi-objective functions,...
This paper implements a novel interpolation algorithm for three-dimensional reconstruction of medical images. Image Interpolation is often required in three-dimensional reconstruction. This paper analyzes and compares the limits of the traditional interpolation algorithm: grey-based interpolation, shape-based interpolation. To overcome the disadvantages of these traditional algorithms, a novel interpolation...
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