An effective dynamic optimization solution method based on the modified orthogonal collocation (mOC) and reduced successive quadratic programming (rSQP) is proposed, where the mOC is proposed to decrease the approxima...
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An effective dynamic optimization solution method based on the modified orthogonal collocation (mOC) and reduced successive quadratic programming (rSQP) is proposed, where the mOC is proposed to decrease the approximation error of the discrete optimal problem while traditional OC method converts the dynamic optimization problem to a regular but discrete nonlinear programming (NLP) problem, and the rSQP method is introduced to solve the resulting NLP problem in the reduced space of the independent variables. A classic benchmark of dynamic optimization problem is explored as demonstration, where the detailed comparative researches between the literature reports and the proposed method are carried out. The research results illustrate the efficiency of the proposed method.
A recent development in molecular imaging is in vivo fluorescence molecular imaging with near-infrared light, which has extraordinary significance in early diagnosis of the disease. This paper presents a method of rec...
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A method is proposed for performance assessment of PID control loops subject to time-varying disturbance dynamics, which is often observed in industrial processes. The proposed method optimizes overall performance of ...
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A method is proposed for performance assessment of PID control loops subject to time-varying disturbance dynamics, which is often observed in industrial processes. The proposed method optimizes overall performance of the processes and presents a PID tradeoff curve which provides a useful lower bound on the achievable performance of the PID controller in terms of both the most significant disturbance rejection and the representative disturbance rejection. One can choose an optional benchmark to assess the PID control performance according to the tradeoff curve. The developed performance assessment technique is illustrated by simulation and industrial examples.
This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed oper...
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This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed operating points first and then a global nonlinear model is approximated by interpolating the multiple linear models with exponential weighting functions. With all the obtained initial values of the system's parameters, nonlinear optimization strategy is implemented to find the optimal values of the parameters for both the local multiple models and their corresponding weighting functions. Finally a more accurate global model can be obtained. The effectiveness of the proposed approach is demonstrated through simulation examples.
This note discusses the problem of stabilization for a class of uncertain networked controlsystems(NCSs) with nonlinear perturbation. By introducing a new model of NCSs with parameter uncertainty, network-induced del...
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Carbon fibers are attractive substrates to be used for designing flexible and weavable devices. In order to obtain some flexible chemical sensors or other nanodevices, surface treatment of carbon fiber was carried out...
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ISBN:
(纸本)9787122120199
Carbon fibers are attractive substrates to be used for designing flexible and weavable devices. In order to obtain some flexible chemical sensors or other nanodevices, surface treatment of carbon fiber was carried out with oxidation approach. Studies on preparation of some typical metal oxide or other inorganic functional film (such as, ZnO, NiO, CdS, et al) with different morphologies under hydrothermal reaction condition were examined. A series of characterizations were employed by scanning electron microscope (SEM), X-ray diffraction (XRD), photoluminescence spectra (PL), et al. Results indicated that the ZnO film with porosity was uniformly formed on the surface of carbon fibers, and the uniformities of other films will be improved further by adjusting synthesis conditions.
cyber-Physical Networked systems (CPNS) are systems that integrate a multitude of nodes that perform computations for the sake of interacting with, or controlling, a physical process. The network plays an important ro...
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Abstract Most current batch process monitoring methods have been implemented under a single operation mode, thus the batch uncertainty is assumed to be caused by batch-to-batch variations. However, due to the change o...
Abstract Most current batch process monitoring methods have been implemented under a single operation mode, thus the batch uncertainty is assumed to be caused by batch-to-batch variations. However, due to the change of market requirements, the batch operation mode should also be changed frequently, especially in the semiconductor manufacturing process. This paper proposes an efficient method for monitoring those batch processes. First, the data is partitioned into multiple clusters, which correspond to different operation modes. Second, a sub-statistical model is built for each operation mode. Then the Bayesian inference strategy is introduced for result combination in different operation modes. The monitoring performance of the proposed method is evaluated by a real semiconductor process application case study.
Wireless sensor networks consist of a large number of sensor nodes that have low power and limited transmission range and can be used in various scenario. The nodes can be deployed in the long and narrow region, such ...
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