An online monitoring method, which aims to deal with the high order non-Gaussian characteristics in chemical process, is proposed in this paper. In the framework of the proposed method, kernel based independent compon...
An online monitoring method, which aims to deal with the high order non-Gaussian characteristics in chemical process, is proposed in this paper. In the framework of the proposed method, kernel based independent component analysis is utilized to identify the operation status of the chemical process and statistics pattern analysis is employed to combine with independent component analysis to extract high order information from the process so as to improve the monitoring performance. The modified statistics pattern analysis introduces the Mahalanobis distance into statistics pattern to analyze the inner structure relationship between the samples. Then, the validity and effectiveness of our proposed method is illustrated by applying to a representative non-Gaussian process, Continuous Stirred Tank Reactor (CSTR). The results show that the proposed method has its advantages when compared to other conventional Eigen-decomposition monitoring algorithms.
In this work is presented a process with high lactic acid production as well as high sugar conversion and low by-products formation. The microorganism Lactobacillus plantarum uses preferably 6-carbon sugars. However, ...
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This paper is concerned with the L-L state estimation problem for discrete-time delay neural networks with missing measurements and randomly occurring sensor *** phenomena of missing measurements and randomly occurrin...
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ISBN:
(纸本)9781509009107
This paper is concerned with the L-L state estimation problem for discrete-time delay neural networks with missing measurements and randomly occurring sensor *** phenomena of missing measurements and randomly occurring sensor linearity are constructed with two sequences of random variables,which obey the partial Bernoulli distribution.A sufficient condition is firstly given such that the augmented filtering error system is stochastically stable with a guaranteed optimal L-L performance by solving a set of linear matrix inequalities(LMIs).Finally,a simulation example is given to show the effectiveness of the proposed method.
In this paper,a novel dimensionality reduction method,time space coordinated-locality preserving projections(TSCLPP) is proposed based on locality preserving projection(LPP).For the short sampling interval,except the ...
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In this paper,a novel dimensionality reduction method,time space coordinated-locality preserving projections(TSCLPP) is proposed based on locality preserving projection(LPP).For the short sampling interval,except the data correlation in spatial scale,there exists data correlation in time scale as *** considering the correlation of sampling points in time and spatial scale simultaneously,TSCLPP constructs the adjacency graph by selecting adjacent points in time-sequence and Euclidean distance ***,the importance of the time-sequential neighbors is measured by the weight based on a time distance.A dual objective function with a weight index coordinating the relationship between time and space is constructed to compute the transformation ***'s T2 and squared prediction error(SPE) are established for process monitoring.A numerical case and the Tennessee-Eastman process(TEP) are employed for the experimental verification.
This paper studies the input-output finite-time stabilization problem of a class of fuzzy stochastic systems with randomly occurring uncertainties and (x, u)-dependent noises. By considering the randomly occurring gai...
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ISBN:
(纸本)9781467384155
This paper studies the input-output finite-time stabilization problem of a class of fuzzy stochastic systems with randomly occurring uncertainties and (x, u)-dependent noises. By considering the randomly occurring gain fluctuations in controller gains, a fuzzy controller is designed to render the closed-loop system input-output finite-time stochastic stability with respect to some specified parameters. Through intensive stochastic analysis, a sufficient condition is established for the controller design via a convex optimization approach. A numerical example is exploited to demonstrate the effectiveness of the proposed design method.
The robust exponential stability and L-gain analysis of the uncertain switched nonlinear cascade systems with time varying delay are considered in this ***,a sufficient condition for robustly exponential stability is ...
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ISBN:
(纸本)9781509009107
The robust exponential stability and L-gain analysis of the uncertain switched nonlinear cascade systems with time varying delay are considered in this ***,a sufficient condition for robustly exponential stability is studied by using the average dwell-time method,piecewise Lyapunov function and free weighting matrix approach,and then the L-gain of the uncertain switched nonlinear cascaded systems with the external disturbance is ***,the switching law and the average dwell-time are ***,a numerical example is provided to illustrate the effectiveness of the proposed results.
An ethylene plant's main purpose is to convert hydrocarbon feedstock,usually natural gas liquids or naphtha,into a "cracked gas" that contains ethylene and other higher value products,by breaking carbon-...
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An ethylene plant's main purpose is to convert hydrocarbon feedstock,usually natural gas liquids or naphtha,into a "cracked gas" that contains ethylene and other higher value products,by breaking carbon-carbon bonds in the *** process also results in the slow deposition of coke,a form of carbon,on the reactor *** coke layer on the internal tube skin reduces the cross section of the reactor tube,increases the pressure drop and also degrades the efficiency of the *** characteristic that continuous operational performance of cracking furnaces gradually decays within time brings challenge to the operational scheduling for the entire furnace *** it's normally time-consuming to develop a new process model for multiple feeds and different cracking furnaces in the new process *** this paper,a transfer learning method based on time series is proposed for fast modeling ethylene yields from the view of common characteristics that ethylene yield decays over *** to previous studies,the new model allows to take advantage of a small amount of newly labeled data to construct a high-quality prediction model for the new ***,it obtains satisfied short-term forecast *** studies demonstrate the efficacy of the developed methodology.
Microalgal biomass have a potential to be used as feedstock for biodiesel production because of high photosynthetic rates, high biomass production, faster growth in comparison to traditional feedstocks and to not be c...
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An effective discrete artificial bee colony(DABC) algorithm is proposed for the flow shop scheduling problem with intermediate buffers(IBFSP) in order to minimize the maximum completion time(i.e makespan). The effecti...
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An effective discrete artificial bee colony(DABC) algorithm is proposed for the flow shop scheduling problem with intermediate buffers(IBFSP) in order to minimize the maximum completion time(i.e makespan). The effective combination of the insertion and swap operator is applied to producing neighborhood individual at the employed bee phase. The tournament selection is adopted to avoid falling into local optima, while, the optimized insert operator embeds in onlooker bee phase for further searching the neighborhood solution to enhance the local search ability of algorithm. The tournament selection with size 2 is again applied and a better selected solution will be performed destruction and construction of iterated greedy(IG) algorithm, and then the result replaces the worse one. Simulation results show that our algorithm has a better performance compared with the HDDE and CHS which were proposed recently. It provides the better known solutions for the makespan criterion to flow shop scheduling problem with limited buffers for the Car benchmark by Carlier and Rec benchmark by Reeves. The convergence curves show that the algorithm not only has faster convergence speed but also has better convergence value.
This paper investigates the uniformly ultimate boundedness(UUB) of an identifier-based adaptive dynamic programming(ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both crit...
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ISBN:
(纸本)9781467374439
This paper investigates the uniformly ultimate boundedness(UUB) of an identifier-based adaptive dynamic programming(ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both critic and action networks are UUB during iteration learning. Moreover, a selection method on learning rates is also given.
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