The steam system is an important part of chemical utility system, but there are widespread phenomenon about lack of testing information, energy consumption configuration depend on given experience and wasting energy. ...
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The steam system is an important part of chemical utility system, but there are widespread phenomenon about lack of testing information, energy consumption configuration depend on given experience and wasting energy. So this paper puts forward a method about the steam pipe network system's status identification of different energy consumption based on the steam pipe network's characteristics of complex structure, much steam equipment, lack of testing information and difficult to build accurate mathematical model. The method based on affinity propagation clustering that can solve big set of data's clustering problem quickly and effective. As it is hard to find preference parameters and damping factor, this paper uses PSO to find the most optimal parameters in order to achieve the best clustering effect. This method is applied test both in classic data set and the steam pipe network of ethylene plant's status identification, the results show the effectiveness of this method.
Since the activity and selectivity of acetylene hydrogenation catalyst change with time, the operating parameters need to be changed to maximize the profit. Therefore, we collected the industrial process data and esti...
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This paper is concerned with the problem of quantized H∞ control for networked control systems (NCSs) with multiple packet dropouts. A new model is given to describe the systems with the input and output quantization...
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This paper is concerned with the problem of quantized H∞ control for networked control systems (NCSs) with multiple packet dropouts. A new model is given to describe the systems with the input and output quantization and multiple packet dropouts. Both the multiple measurement and control packet dropouts are described by two binary switching sequences that obey certain conditional probability distribution. An observer-based controller is designed to ensure the exponentially mean-square stable of the closed-loop system and to guarantee an optimal H∞ disturbance attenuation level. Finally, a simulation example is given to demonstrate the effectiveness of the proposed method.
The homogeneous metal/bromide-catalyzed aerobic oxidation of p-xylene with different catalyst concentrations was carried out, and the formation kinetics of COx including CO2 and CO was measured. The simplified element...
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This paper is concerned with leader-follower synchronization of complex dynamical networks with sampled-data control. By sampling the signal from the leader at some discrete time instants and using a zero-order hold f...
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This paper is concerned with leader-follower synchronization of complex dynamical networks with sampled-data control. By sampling the signal from the leader at some discrete time instants and using a zero-order hold f...
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ISBN:
(纸本)9781467325813
This paper is concerned with leader-follower synchronization of complex dynamical networks with sampled-data control. By sampling the signal from the leader at some discrete time instants and using a zero-order hold function, synchronization is achieved between the network and a desired orbit, known as the leader. By applying Lyapunov functional approach and the property of the network topology matrix, a delay-dependent criterion is derived. It is shown that synchronization of N coupled dynamical systems with a leader can be recast into the stability of N decoupled systems, in which eigenvalues of the network topology matrix are involved. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method.
In order to segment ban traffic signs quickly and accurately, this paper first refers to its characteristic of red circle and white background to start color segmentation, then presents a segmentation method based two...
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This paper addresses the H ∞ filtering problem for networked control systems with quantization and multiple packet dropouts. The effects of measurement channel and control channel quantization as well as packet drop...
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ISBN:
(纸本)9781467318716
This paper addresses the H ∞ filtering problem for networked control systems with quantization and multiple packet dropouts. The effects of measurement channel and control channel quantization as well as packet dropouts are considered simultaneously due to limited communication capacity and unreliable communication links. Stochastic variables satisfying the Bernoulli random binary distribution are utilized to model the multiple packet dropouts. Sufficient conditions are proposed such that the filtering error system is exponentially mean-square stable while the H ∞ disturbance rejection attenuation constraint is satisfied. Then, the explicit expression of the desired filter gains is described in terms of the solution to linear matrix inequalities (LMIs). Finally, a numerical example is employed to demonstrate the effectiveness of the proposed filter design approach.
A brain-computer interface (BCI) based on the combination of oddball paradigm and face perception has been introduced. Such BCI mainly exploits three event-related potential (ERP) components, namely vertex positive po...
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A brain-computer interface (BCI) based on the combination of oddball paradigm and face perception has been introduced. Such BCI mainly exploits three event-related potential (ERP) components, namely vertex positive potential (VPP), N170 and P300 instead of only P300. With different temporal and spatial distributions of the three ERP components, a regularized common spatial pattern (CSP) with Fisher's criterion (FC), named FCCSP, is proposed to extract the most discriminative features for single trial classification of ERP components. With linear discriminant analysis (LDA) classifier, the proposed FCCSP spatial filtering method yields an average classification accuracy of 95.4% on seven healthy subjects for single-trial ERP components, which outperforms no spatial filtering, the CSP and the FC.
In this paper, a robust neural control problem for switched systems with unmodeled dynamics and external disturbances is addressed. RBF neural networks and multiple Lyapunov functions are employed to design robust neu...
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