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- 저자 : Hongxu Zhang (검색결과 5 건)
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Linan Zhao,Hongxu Zhang,Jun Hu,Long Xu 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.4
This paper is concerned with the observer-based sliding mode control (OBSMC) problem for Markovian jump systems with time-varying delays under the event-triggered protocol (ETP). Firstly, the ETP is introduced with hope to decrease the communication burden and determine whether the signal should be updated. Due to the fact that the system state is immeasurable, an observer is designed based on the measurement subsequently. Furthermore, by means of Lyapunov functional scheme, sufficient conditions ensuring the stochastic stability of sliding mode dynamics are obtained. Moreover, an event-triggered sliding mode control law is designed to drive the state trajectories onto a pre-defined sliding vicinity. Finally, the effectiveness of the proposed OBSMC method is verified with the aid of a simulation example.
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Fengqiu Liu,Jianmin Wang,Hongxu Zhang,Pengfei Li 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.1
A new discrete-time neural network is proposed for solving convex quadratic programming problems with hybrid constraints. Based on the projection operator and convex optimization technologies, a single layer discrete-time neural network with monotonic descent dynamic step sizes is constructed. It is proved that the equilibrium points of the discrete-time neural network are globally exponentially convergent to the optimal solutions of the programming problem. Moreover, an algorithm is given based on the proposed neural network and the scheme of backtracking step-size adaptation. Finally, the proposed algorithm is applied to three types of quadratic programming problems and the gas oven identification via a support vector regression algorithm. The numerical experiments are performed to show the correctness and effectiveness of the results in this paper.
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Experimental Study on the Thermal Performance of Rice Straw-Mortar Composite Materials
Rongfei Zhao,Yan Qin,Hongxu Guo,Huaqian Zhang,Wei Gao,Tieliang Wang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.1
Thermal properties of mortar block can be improved through adding straw, which is related to the type, size, amount of the straw, and so on. In order to test the thermal insulation performance of rice straw-mortar composite materials, this paper adopted response surface methodology (RSM), which employed a four-factor, three-level Box-Behnken design regarding gypsum content (% mass fraction of gypsum), straw size (mm), straw content (% mass fraction of straw) and water content (g) of rice straw-mortar composite materials as independent variables. Thermal conductivity, thermal diffusivity and thermal resistance of composite materials were response variables. The straw content and water content extremely significantly affected all the responses; the straw size had extremely significant effect on the thermal resistance as well as significant effect on the thermal conductivity. According to the optimum solution of regression equations, the optimum values of thermal conductivity, thermal diffusivity and thermal resistance were 0.048 W (m K)−1, 0.163 mm2 s−1, and 12.743 K W−1, respectively. The optimization options of gypsum content, straw size, straw content and water content were 5.01%, 20 mm, 22.7% and 0.06 g, respectively. Due to the state change of pore water, thermal conductivity of rice straw-mortar composite materials containing free water decreased seriously after complete freezing and increased slightly after 15 times freeze-thaw. During first freezing process, the thermal conductivity increased obviously with the increasing of freezing time, then increased slowly. A theoretical basis was provided by the experimental results, which was essential for the study on the thermal performance of rice straw-mortar composite materials as well as the application of similar materials.
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Application of artificial neural network for the critical flow prediction of discharge nozzle
Hong Xu,Tao Tang,Baorui Zhang,Yuechan Liu 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.3
System thermal-hydraulic (STH) code is adopted for nuclear safety analysis. The critical flow model(CFM) is significant for the accuracy of STH simulation. To overcome the defects of current CFMs (lowprecision or long calculation time), a CFM based on a genetic neural network (GNN) has been developedin this work. To build a powerful model, besides the critical mass flux, the critical pressure and criticalquality were also considered in this model, which was seldom considered before. Comparing with thetraditional homogeneous equilibrium model (HEM) and the Moody model, the GNN model can predictthe critical mass flux with a higher accuracy (approximately 80% of results are within the ±20% errorlimit); comparing with the Leung model and the Shannak model for critical pressure prediction, the GNNmodel achieved the best results (more than 80% prediction results within the ±20% error limit). For thecritical quality, similar precision is achieved. The GNN-based CFM in this work is meaningful for the STHcode CFM development
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Synthesis of single azo disperse dye containing double ester and determination of crystal structure
Hong Xu,Zhengyu Zhang,Chunling Zheng 한국화학공학회 2013 Korean Journal of Chemical Engineering Vol.30 No.12
The synthesis, crystal structure analysis and characterization of a monoazo dye, 4-((2,6-dichloro-4-nitro phenyl)azo)-N-(diacetyl oxygen ethyl)aniline, are reported. The dye crystallised in the triclinic system, space group P-1 with a=8.1663(3) Å, b= 9.4222(3) Å, c=15.4694(5) Å, α=78.9130(10)o, β=75.019(2)o, γ =70.787(2)o, V=1078.26(6)Å3 and Z=2. There is only one molecule in the asymmetric unit. The dihedral angle between the two phenyl rings is 53.4 Å. In the crystal structure, intermolecular C-H…O hydrogen bonds link the molecules into centrosymmetric dimers,forming R22(30) ring motifs, in which they may be effective in the stabilization of the structure. Between the phenyl rings, the π…π stacking (interactions) may further stabilize the structure.
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