Many networks constructed and investigated in network science are based on quantized weights of edges due to limitation on measurement or for research convenience. In this work, quantization effects on networks proper...
详细信息
ISBN:
(纸本)9781509009107
Many networks constructed and investigated in network science are based on quantized weights of edges due to limitation on measurement or for research convenience. In this work, quantization effects on networks properties are investigated based on the eigenvalues of the corresponding Laplacian. Non-integer weights are rounded off to nd that higher rounding-off precision leads to a better approximation of the original networks distribution of eigenvalues, whereas shows no in uence on the quantization results. In contrast to the intuition that larger quantization level always implies a better approximation of the quantized network to the original one, periodic jumping phenomena at the critical quantization level with peak-value decreasing in a power-law relationship are observed in all the real-world networks we investigated. Furthermore, random exchange of weights among edges could in uence the critical quantization level but doesn’t affect the jumping phenomena.
Fault diagnosis and monitoring are very important for complex chemicalprocess. There are numerous methods that have been studied in this field, in which the effective visualization method is still challenging. In ord...
详细信息
Fault diagnosis and monitoring are very important for complex chemicalprocess. There are numerous methods that have been studied in this field, in which the effective visualization method is still challenging. In order to get a better visualization effect, a novel fault diagnosis method which combines self-organizing map (SOM) with Fisher discriminant analysis (FDA) is proposed. FDA can reduce the dimension of the data in terms of maximizing the separability of the classes. After feature extraction by FDA, SOM can distinguish the different states on the output map clearly and it can also be employed to monitor abnormal states. Tennessee Eastman (TE) process is employed to illustrate the fault diagnosis and monitoring performance of the proposed method. The result shows that the SOM integrated with FDA method is efficient and capable for real-time monitoring and fault diagnosis in complex chemicalprocess.
This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive *** means of two-dimensional/repetitive setting,the sufficient conditions for batch-to-b...
详细信息
ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive *** means of two-dimensional/repetitive setting,the sufficient conditions for batch-to-batch error convergence and H disturbance attenuation are formulated and ***,the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix *** proposed control law is able to fulfil the imposed design specifications,i.e.,they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive *** illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.
In real applications,network resources are generally *** by the significance of optimizing network,the consensus centrality index is proposed to quantify how fast a leader could guide all the nodes in a network to rea...
详细信息
ISBN:
(纸本)9781479947249
In real applications,network resources are generally *** by the significance of optimizing network,the consensus centrality index is proposed to quantify how fast a leader could guide all the nodes in a network to reach the desired *** the basis of complex networks,the relation of the consensus centrality distribution and the degree distribution in several model and real networks is ***,the influence of network structure on consensus performance is *** the network becoming more heterogeneous or denser,the maximum consensus centrality *** faster convergence speed can be achieved if the node with the maximum consensus centrality is selected leader.
The objective of this paper is to propose a universal methodology for performance assessment of run-to-run control in semiconductor manufacturing. The slope of the linear semiconductor process model is assumed to be k...
详细信息
The objective of this paper is to propose a universal methodology for performance assessment of run-to-run control in semiconductor manufacturing. The slope of the linear semiconductor process model is assumed to be known or subjected to mild plant/model mismatch. Based on an internal model control framework, analytical expressions of minimum variance performance (MVP) and best achievable performance (BAP) for a series of run-to-run control schemes are derived. In the methodology, closed-loop identification is utilised as the first step to estimate the noise dynamics via routine operating data, and numerical optimisation is employed as a second step to calculate the best achievable performance bounds of the run-to-run control loops. The validity of the methodology is justified by examples of performance assessment for EWMA control, double EWMA control and RLS-LT control, even under circumstances where the processes encounter model mismatch, metrology delay and more sophisticated noises. Several essential characteristics of run-to-run control are discovered by performance assessment, and valuable advice is offered to process engineers for improving the run-to-run control performance. Furthermore, a useful application example for online performance monitoring and optimal tuning of run-to-run controller demonstrates the advantage of the methodology.
Focusing on ethylene oxide (EO) hydration reactor industrial equipment, the reaction mechanism model is established. Based on the principle of material balance, energy balance and kinetics of the reactions of ethylene...
详细信息
In this paper, we address the fixed-time consensus problem for multi-agent systems in networks with directed and switching interaction topology. With the introduction of mirror operation, two global distributed nonlin...
详细信息
This paper addresses robust multiobjective identification of driver nodes in the neuronal network of a cat's brain,in which uncertainties in determination of driver nodes and control gains are considered. A framew...
详细信息
ISBN:
(纸本)9781467374439
This paper addresses robust multiobjective identification of driver nodes in the neuronal network of a cat's brain,in which uncertainties in determination of driver nodes and control gains are considered. A framework by including interval uncertainties is proposed for robust controllability. It is revealed that the existence of uncertainties in choosing driver nodes and designing control gains heavily affect the controllability of neuronal networks.
In this paper, a control simulation of the autonomous landing process of a Vertical Take-Off and Landing(VTVL) Reusable Launch Vehicle(RLV) is proposed and we consider the effects of the inner liquid propellant sloshi...
详细信息
ISBN:
(纸本)9781479947249
In this paper, a control simulation of the autonomous landing process of a Vertical Take-Off and Landing(VTVL) Reusable Launch Vehicle(RLV) is proposed and we consider the effects of the inner liquid propellant sloshing, elastic vibration, disturbance force, disturbance torque and other complex conditions in the virtual RLV model. On the basis of dynamics modeling of the RLV, we analyzed RLV's landing process. The landing control system was designed under certain conditions. Co-simulation Research was achieved by ADAMS and MATLAB/Simulink. The simulation results show that the control system performs well.
To find the optimal operational condition when the properties of feedstock changes in the cracking furnace online,a hybrid algorithm named differential evolution group search optimization(DEGSO) is proposed,which is b...
详细信息
To find the optimal operational condition when the properties of feedstock changes in the cracking furnace online,a hybrid algorithm named differential evolution group search optimization(DEGSO) is proposed,which is based on the differential evolution(DE) and the group search optimization(GSO).The DEGSO combines the advantages of the two algorithms:the high computing speed of DE and the good performance of the GSO for preventing the best particle from converging to local optimum.A cooperative method is also proposed for switching between these two *** the fitness value of one algorithm keeps invariant in several generations and less than the preset threshold,it is considered to fall into the local optimization and the other algorithm is *** on benchmark functions show that the hybrid algorithm outperforms GSO in accuracy,global searching ability and *** optimization of ethylene and propylene yields is illustrated as a case by *** optimization,the yield of ethylene and propylene is increased remarkably,which provides the proper operational condition of the ethylene cracking furnace.
暂无评论