Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Qingyin, Jiang"'
Publikováno v:
Chinese Journal of Chemical Engineering. 27:1498-1509
To realize the industrialization of the novel single-column air separation process proposed in previous work, steady-state simulation for four different configurations of the single-column process with ternary (nitrogen, oxygen and argon) is develope
Publikováno v:
Industrial & Engineering Chemistry Research. 54:4805-4814
Steady-state and dynamic simulations of a hydrocracking fractionator are carried out using the process simulator ASPEN PLUS with industrial process data. The main products of fractionation include ...
Publikováno v:
Journal of Process Control. 24:1527-1537
Indirect iterative learning control (ILC) facilitates the application of learning-type control strategies to the repetitive/batch/periodic processes with local feedback control already. Based on the two-dimensional generalized predictive control (2D-
Publikováno v:
Acta Automatica Sinica. 39:565-573
By representing an iterative learning control(ILC) system as a two-dimensional system and using the philosophy of model predictive control(MPC) and performance model reference control,a two-dimensional performance model based model predictive iterati
Publikováno v:
Fuel. 90:3521-3530
Hydrocracking is used in the petroleum industry to convert low-quality feedstocks into highly-valued transportation fuels. This process is the best source of low-sulfur and low-aromatics diesel fuel as well as high-smoke point jet fuel. Many approach
Publikováno v:
ICARCV
In many industries, the cascaded manufacturing process usually consists of a fast response sub-process with disturbance and a slow response sub-process with large time delay. For a repetitive cascaded process with such characteristics, a new cascade
Autor:
Mingbo Deng, Zhou Hua, Ziluan Chen, Xiliang Chen, Chenglin Wang, Qingyin Jiang, Cai Jie, Zhikai Cao
Publikováno v:
IFAC Proceedings Volumes. 37:767-772
This paper discusses the problem of on-line optimal control of FCCU. First a new optimal control scheme is put forward. Then some key problems to make up this optimal control system and the solving scheme arc discussed. Finally, the on-line industria
Publikováno v:
Advances in Intelligent Systems Research.
The Particle Swarm Optimization (PSO) and the Genetic Algorithm (GA) are two of the most powerful methods to solve the unconstrained and constrained global optimization problems. In this paper, these two methods are briefly introduced firstly, and th
Publikováno v:
2009 International Conference on Computational Intelligence and Software Engineering.
Publikováno v:
2008 7th World Congress on Intelligent Control and Automation.
To solve the problem of analyzing and optimizing the impact factors which contribute the optimal goal, orthogonal analysis based on artificial neural network (ANN) was put forward. By gathering the data of impact factors and optimal goal from industr