This paper considers sliding mode control for a class of uncertain switched systems with state and input *** employing a weighted sum of the input matrix,a common sliding surface is designed and the corresponding slid...
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ISBN:
(纸本)9781479900305
This paper considers sliding mode control for a class of uncertain switched systems with state and input *** employing a weighted sum of the input matrix,a common sliding surface is designed and the corresponding sliding mode dynamics is *** guarantee the asymptotic stability of the sliding motion,a switching signal based on the min-projection strategy is ***,it is shown that the state trajectories can be driven onto the specified sliding surface despite the presence of state and input delay and external ***,a numerical example is given to demonstrate the effectiveness of the proposed method.
In ethylene cracking process, the changes of feed have many kinds, and due to its expensive feed analyzer, little industrial site equips with it, so online recognition of oil property is important to achieve cracking ...
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There are more product specifications, great production and much equipment over the whole process of tire building. The actual complex scheduling problem of tire building is described in detail. To solve the complex m...
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ISBN:
(纸本)9781467355339
There are more product specifications, great production and much equipment over the whole process of tire building. The actual complex scheduling problem of tire building is described in detail. To solve the complex multi-objective, large-scale production scheduling problem of tire building, a heuristic algorithm is proposed from the experience of the experts. The algorithm was tested by online data. Results show that the heuristic algorithm can quickly workout the optimal production scheduling of tire building, reduce the production cost, and improve productivity. The algorithm will lay the firm groundwork for application to production process in the future.
An ethylene plant employs multiple cracking furnaces in parallel to convert various hydrocarbon feedstocks to smaller hydrocarbon molecules. The continuous operational performance of cracking furnaces gradually decays...
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In this paper,the synchronization of a nonlinear network with time-varying coupling delay is investigated via distributed impulsive *** objective is to design the distributed impulsive controller with minimum coupling...
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ISBN:
(纸本)9781479900305
In this paper,the synchronization of a nonlinear network with time-varying coupling delay is investigated via distributed impulsive *** objective is to design the distributed impulsive controller with minimum coupling strength such that the nonlinear network with coupling delay is globally exponentially *** sufficient conditions have been derived based on Lyapunov-Razumikhin method in terms of matrix *** example is presented to illustrate the effectiveness of the proposed control methods.
We present the design, fabrication, and testing of a new silicon triaxial resonant micro-accelerometer. It is characterized by a biaxial planar resonant micro-accelerometer and a vertical resonant micro-accelerometer ...
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We present the design, fabrication, and testing of a new silicon triaxial resonant micro-accelerometer. It is characterized by a biaxial planar resonant micro-accelerometer and a vertical resonant micro-accelerometer based on electrostatic stiffness. The biaxial resonant micro-accelerometer, which is decoupled in two sensitive directions by four pairs of decoupling beams, senses the acceleration by two pairs of tuning fork resonators with an excellent linearity and uniformity. The vertical resonant micro-accelerometer, where the sensing movement of the accelerometer is decoupled with oscillation of the plane resonators, senses the acceleration by electrostatic stiffness. Six analog self-oscillation circuits and a digital frequency measurement circuit based on FPGA are designed to control the triaxial resonant micro-accelerometer. The standard three-mask Deep Dry Silicon on Glass (DDSOG) process is used for fabrication of the triaxial decoupled resonant micro-accelerometer. Experimental results demonstrate a mechanical sensitivity of 52.57Hz/g(x-axis), 51.64 Hz/g(y-axis) and 31.65 Hz/g(z-axis) and a bias stability of 0.294mg(x-axis), 0.278mg(y-axis) and 0.727mg(z-axis).
Predicting the best shutdown time of a steam ethylene cracking furnace in industrial practice remains a challenge due to the complex coking process. As well known, the shutdown time of a furnace is mainly determined b...
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Predicting the best shutdown time of a steam ethylene cracking furnace in industrial practice remains a challenge due to the complex coking process. As well known, the shutdown time of a furnace is mainly determined by coking condition of the transfer line exchangers (TLE) when naphtha or other heavy hydrocarbon feedstocks are cracked. In practice, it is difficult to measure the coke thickness in TLE through experimental method in the complex industrial situation. However, the outlet temperature of TLE (TLEOT) can indirectly characterize the coking situation in TLE since the coke accumulation in TLE has great influence on TLEOT. Thus, the TLEOT could be a critical factor in deciding when to shut down the furnace to decoke. To predict the TLEOT, a paramewic model was proposed in this work, based on theoretical analysis, mathematic reduction, and parameters estimation. The feasibility of the proposed model was further checked through industrial data and good agreements between model prediction and industrial data with maximum deviation 2% were observed.
This paper considers the problem of stability analysis for discrete-time recurrent neural networks with randomly occurred nonlinearities (RONs) and time-varying delay. By utilizing new Lyapunov-Krasovskii functions an...
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Common spatial pattern(CSP) has been one of the most popular methods for EEG feature extraction in brain-computer interface(BCI) application. Although the CSP usually provides good discriminant features for classifica...
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Common spatial pattern(CSP) has been one of the most popular methods for EEG feature extraction in brain-computer interface(BCI) application. Although the CSP usually provides good discriminant features for classification,it is also known to be sensitive to overfitting and *** study introduces a shrinkage technique to regularize estimation of the covariance matrices in the CSP and hence a novel shrinkage CSP(SCSP) method,which could effectively alleviate the effects of small training sample size and unbalanced data on classification. The proposed SCSP is validated on feature extraction of P300 that has been widely adopted for BCI *** accuracies are evaluated by using linear discriminant analysis(LDA) with experimental EEG data from seven *** results indicate that the proposed SCSP extracts more effective features that yield higher classification accuracy than that by the traditional CSP.
This paper studies the scheduling problem in a permutation flow shop with the objective of makespan, which is known as one of major problems in the field of scheduling. In order to solving the corresponding model, an ...
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This paper studies the scheduling problem in a permutation flow shop with the objective of makespan, which is known as one of major problems in the field of scheduling. In order to solving the corresponding model, an improved shuffled frog leaping algorithm(ISFLA) is put forward for this kind of scheduling problem. A new leaping rule based on the characteristic of the problem is devised to improve the performance of the ISFLA. And it can not only produce feasible solutions but also maintain the structure characteristic of the SFLA. Computational experiments on benchmark sets show that the proposed ISFLA is greatly effective to generate good solutions relative to the other two algorithms.
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