This paper considers the problem of sliding mode control (SMC) for a class of linear uncertain switched systems. In the controlled systems, it is not required that each subsystem model shares the same input channel, w...
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ISBN:
(纸本)9781467325813
This paper considers the problem of sliding mode control (SMC) for a class of linear uncertain switched systems. In the controlled systems, it is not required that each subsystem model shares the same input channel, which is usually assumed in some existing works. By means of a transformation on input matrices, a single integral sliding surface is designed and the switching signals depending on the average dwell time are given. It is shown that the designed sliding mode controller can guarantee the reachability of the sliding surface. Moreover, the sliding motion on the specified integral sliding surface is exponentially stable under the designed switching signal. The efficiency of the proposed method is demonstrated by a simulation.
Biorefineries use a variety of separation methods in order to produce high value co-products from different feed streams. The ionic liquids (IL) represent new classes of non-volatile selective solvents with large solu...
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Biorefineries use a variety of separation methods in order to produce high value co-products from different feed streams. The ionic liquids (IL) represent new classes of non-volatile selective solvents with large solubility, low solution viscosities, low toxicity. In this work, a computational study on extractive distillation using ionic liquids aiming to improve the properties of separation and lower energy consumption compared to conventional extraction agents, showing significant potential for this application, was developed. The ternary vapor liquid equilibrium data were taken from literature and the process was modeled and simulated using Aspen Plus TM process simulation environment. Computed results showed that 1-Butyl-3-methylimidazolium methyl sulfate ([emim][mSO4]) consumes lesser energy per kilogram of anhydrous ethanol, obtaining an ethanol purity of 0.995 (in mass) and an ethanol percentage recovery of 99.9 wt%.
Increasingly in practical applications, nonlinearity, non-Gaussianity, and constraint are considered when dealing with state estimation problems. This paper proposes a novel constrained particle filter (PF) approach f...
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An approach for batch processes monitoring and fault detection based on multiway kernel partial least squares(MKPLS) was *** is known that conventional batch process monitoring methods,such as multiway partial least s...
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An approach for batch processes monitoring and fault detection based on multiway kernel partial least squares(MKPLS) was *** is known that conventional batch process monitoring methods,such as multiway partial least squares(MPLS),are not suitable due to their intrinsic linearity when the variations are *** address this issue,kernel partial least squares(KPLS) was used to capture the nonlinear relationship between the latent structures and predictive *** addition,KPLS requires only linear algebra and does not involve any nonlinear *** this paper,the application of KPLS was extended to on-line monitoring of batch *** proposed batch monitoring method was applied to a simulation benchmark of fed-batch penicillin fermentation *** the results demonstrate the superior monitoring performance of MKPLS in comparison to MPLS monitoring.
In this paper, a new classification method based on common spatial pattern (CSP) and hidden markov model(HMM)is presented to classify the EEG of four-class motor imagery. 4 s data of motor imagery is selected and four...
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In this paper, a new classification method based on common spatial pattern (CSP) and hidden markov model(HMM)is presented to classify the EEG of four-class motor imagery. 4 s data of motor imagery is selected and four 2 s sub-data sets are obtained by sliding time window with 0.5 s step size. CSP is used to extract features from the four sub-data sets respectively. Features from each class are used to train one HMM. Four different HMMs are obtained corresponding with the four classes. Test data are measured by the four HMMs and classified based on the maximum likelihood obtained from the four HMMs. The results show that HMM yields better performance than Bayesian linear discriminant analysis.
Attribute reduction is an important topic of the rough set theory and it's a NP-hard problem to find a minimal reduction. Due to the advantage of ant colony algorithm in solving combinatorial optimization problems...
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Attribute reduction is an important topic of the rough set theory and it's a NP-hard problem to find a minimal reduction. Due to the advantage of ant colony algorithm in solving combinatorial optimization problems, this paper treats attribute reduction as a combinatorial optimization problem, and combines the rough set theory with ant colony algorithm to search the minimal reduction. In accordance with the problems in obtaining many minimal reduction sets of the same length, the paper takes the dependence degree of decision attributes on the non-core attributes to measure the solutions and selects the reduction set which has the maximum dependence degree, so as to find the optimal solution. Experimental results verify the validity of the presented algorithm.
In this paper, a stable aqueous dispersion of graphene nanosheets (GNs) has been prepared by chemical reduction of graphene oxide (GO) with hydrazine hydrate in the presence of poly [(2-ethyldimethylammonioethyl metha...
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In this communication, we demonstrate the proof of concept that carbon nanocapsules (CNCs) can be used as an effective fluorescent sensing platform for nucleic acid detection with selectivity down to single-base misma...
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A novel immune algorithm suitable for dynamic environments (AIDE) was proposed based on a biological immune response *** dynamic process of artificial immune response with operators such as immune cloning,multi-scale ...
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A novel immune algorithm suitable for dynamic environments (AIDE) was proposed based on a biological immune response *** dynamic process of artificial immune response with operators such as immune cloning,multi-scale variation and gradient-based diversity was *** the immune cloning operator was derived from a stimulation and suppression effect between antibodies and antigens,a sigmoid model that can clearly describe clonal proliferation was *** addition,with the introduction of multiple populations and multi-scale variation,the algorithm can well maintain the population diversity during the dynamic searching *** traditional artificial immune algorithms,which require randomly generated cells added to the current population to explore its fitness landscape,AIDE uses a gradient-based diversity operator to speed up the optimization in the dynamic *** reported algorithms were compared with AIDE by using Moving Peaks *** experiments show that AIDE can maintain high population diversity during the search process,simultaneously can speed up the ***,AIDE is useful for the optimization of dynamic environments.
Tissue engineering is the most fascinating domain of medical technology and has emerged as a promising alternative approach in the treatment of malfunctioning or lost organs where patients are treated by using their o...
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Tissue engineering is the most fascinating domain of medical technology and has emerged as a promising alternative approach in the treatment of malfunctioning or lost organs where patients are treated by using their own cells, grown on a polymer support so that a tissue part is regenerated from the natural cells. This support is known as scaffold and is needed to serve as an adhesive substrate for the implanted cells and a physical support to guide the formation of the new organs. In addition to facilitating cell adhesion, promoting cell growth, and allowing the retention of differentiated cell functions, the scaffold should be biocompatible, biodegradable, highly porous with a large surface/volume ratio, mechanically strong, and malleable. The scaffold degrades while a new organ or tissue is formed. A number of three-dimensional porous scaffolds fabricated from various kinds of biodegradable materials have been developed. Bioabsorbable polymers have been identified as alternative materials for biomedical applications, since these polymers are degraded by simple hydrolysis to products that can be metabolized by the human body. With their excellent biocompatibility, poly-lactones such as poly-lactic acid (PLA), poly-glycolic acid (PGA), and poly-caprolactone (PCL), as well as their copolymers are becoming the most commonly used synthetic biodegradable polymers as fixation devices materials for biomedical devices. Among the biomaterials (biopolymers) used in the medical field, the poly (lactic acid) (PLA) has received significant attention. Poly-lactic acid (PLA) is at present one of the most promising biodegradable polymers for this purpose and has convincingly demonstrated the proof of concept for using in bioabsorbable polymer as bone fixation devices, owing to its mechanical property profile, thermoplastic possibility and biological properties, such as biocompatibility and biodegradability. It is produced from lactic acid, a naturally occurring organic acid that c
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