In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observ...
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The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-obje...
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The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming (MINLP). A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.
This paper analyzes the performance of object tracking algorithms. The issues that affect precision in object tracking are analyzed first and how the parameters in tracking algorithms affect the precision in object tr...
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A hardware-based solution of precise time synchronization over Ethernet was proposed for Networked control System (NCS). Using Field-programmable Gate Array (FPGA), hardware-based solution was designed for implementin...
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A hardware-based solution of precise time synchronization over Ethernet was proposed for Networked control System (NCS). Using Field-programmable Gate Array (FPGA), hardware-based solution was designed for implementing time synchronization protocol defined in IEEE 1588. Timestamp capture, oscillator frequency compensation, time synchronization and etc., were all coded with Very High Speed Integrated Circuit Hardware Description Language (VHDL). Based on Kalman filter, time synchronization arithmetic was optimized to enhance the accuracy. The test results show that time accuracy reaches to sub-microsecond range, and the solution which makes system time synchronization easily is flexible and scalable for NCS and instruments.
Robust and high accuracy corner matching plays an essential role in many applications in computer vision such as camera calibration, 3D reconstruction and robot localization. In this paper, we describe a hybrid approa...
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This paper presents the error analysis of the tack measurement for non-Newtonian fluid based on the inkometer. Offset inks are taken as the analysis object, and a force analysis model is established to analyze the rem...
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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 oper...
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This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust inte...
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This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust integral of the sign of the error (RISE) feedback signal multiplied with an adaptive gain plus neural network (NN) output. The two-layer NN learns the system dynamics in an online manner while residual reconstruction errors and the external bounded system disturbances are overcome by the RISE signal. Semi-global asymptotic tracking performance is theoretically guaranteed by using the Lyapunov standard method, while the NN weights and all other signals are shown to be bounded. Further, simulations results are present to illustrate the control performance.
In this paper, a passive UHF RFID tag antenna of planar circular-loop single port dipole is designed. The alteration of external circular-loop geometrical parameters can eliminate the read-orientation sensitivity of t...
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In this paper, a passive UHF RFID tag antenna of planar circular-loop single port dipole is designed. The alteration of external circular-loop geometrical parameters can eliminate the read-orientation sensitivity of the tag antenna with ease. An inductively coupled feed method was adopted to facilitate impedance matching of the proposed antenna. The measured results are in good agreement with the simulated ones. It showed that the tag possesses the normalized gain deviation of less than 2.5 dB in E and H planes at the frequency of 915 MHz. The measured maximum reading range between the tag and the reader falls in 2.4 m ~ 2.9 m, depending on the rotation angle of the tag in 902 MHz ~ 928 MHz.
Abstract For dynamic batch process monitoring, a two-dimensional dynamic modeling framework has recently been formulated, which is based on a two-dimensional autoregressive model and the principal component analysis (...
Abstract For dynamic batch process monitoring, a two-dimensional dynamic modeling framework has recently been formulated, which is based on a two-dimensional autoregressive model and the principal component analysis (PCA) method. Different from traditional dynamic batch process monitoring, the two-dimensional method can monitor both within batch and batch-to-batch dynamic information of the process data. However, this PCA-related method has two main restrictions, which may render poor monitoring performance in practice. First, it is under the assumption that the distribution of the process data is Gaussian. Second, the correlations between different process variables are assumed to be linear with each other. Unfortunately, both of these two assumptions are difficult to satisfy in batch processes. In this paper, support vector data description (SVDD) is incorporated into the two-dimensional modeling framework, which has no Gaussian limitation of the data, and can also model the nonlinear relationship between process variables. For dynamic batch process monitoring, a distance based statistic is proposed. Based on results of a simulation case study, the monitoring performance has been improved.
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