For mobile anchor node static path planning cannot accord the actual distribution of node for dynamic adjustment which result in incomplete coverage and lack of flexibility. We take advantage of the high localization ...
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For mobile anchor node static path planning cannot accord the actual distribution of node for dynamic adjustment which result in incomplete coverage and lack of flexibility. We take advantage of the high localization accuracy and low computational complexity of AHLos algorithm. This article introduces mobile anchor nodes instead of the traditional fixed anchor nodes to improve the algorithm. Firstly, the high connectivity nodes are chosen in the network as AHLos algorithm initial anchor nodes. The initial anchor nodes are located through the method of approximate location. The mobile anchor nodes traverse all the initial nodes. The residual nodes in the network will be located by AHLos location algorithm. In addition, not every two initial anchor nodes are neighbor nodes in the process of traverse. The minimum hop path from one initial anchor node to the next one is defined as the transition path. The mobile anchor node use the transition path between two non-neighboring initial nodes to induction the next initial node. At the same time, the GPS can be shut down along the transition path. The mobile anchor nodes adjust its direction as soon as possible, once the signal of the next node is perceived. This method could both avoid the energy consumption of GPS and greatly reduce the actual distance of the mobile anchor node. The result shows that, through introduce the mobile anchor node, we can configure the information of initial anchor nodes more flexible. Meanwhile, with the use of the approximate location and the transition path, the distance and energy consumption of the mobile anchor node is greatly reduced.
In this paper, a quantized H_∞ control problem for networked control systems (NCSs) subject to randomly multi-step transmission delays is investigated. A quantizer is used before the measurement signal enters the com...
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ISBN:
(纸本)9781479940318
In this paper, a quantized H_∞ control problem for networked control systems (NCSs) subject to randomly multi-step transmission delays is investigated. A quantizer is used before the measurement signal enters the communication network and the randomly multi-step transmission delays which are described by a mathematical model are considered during the transmission through the network. Sufficient conditions are derived for the considered system to satisfy the H_∞ norm constraint subject to the randomly multi-step transmission delays. Simulation results demonstrate the effectiveness of the proposed method.
In recent years,the technology accelerates the fierce competition of *** the information explosion,the research on process scheduling gets more *** paper summarizes the previous studies about unrelated parallel machin...
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In recent years,the technology accelerates the fierce competition of *** the information explosion,the research on process scheduling gets more *** paper summarizes the previous studies about unrelated parallel machine scheduling problem,then gives a detailed mathematical description for the unrelated parallel machine scheduling *** with the development of intelligent optimization algorithms,it puts forward an improved estimation of distribution algorithms IEDANS to solve the unrelated parallel machine scheduling *** ideas about VNS also integrated into the *** the advantages and disadvantages of intelligent algorithms,the actual application process presents a new encoding for the *** using the processing time matrix,the algorithm can get more knowledge of the *** simulation results show that the IEDANS algorithm can solve the problem *** can converge to the global optimization without costing much time.
The model of an Orbal oxidation ditch activated sludge process was set up based on ASM3 and Takacs' s double index settlement rate of secondary sedimentation tank model in this paper. According to the condition of...
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The model of an Orbal oxidation ditch activated sludge process was set up based on ASM3 and Takacs' s double index settlement rate of secondary sedimentation tank model in this paper. According to the condition of the multi-objective output simulation model, multi-objective particle swarm optimization algorithm(MOPSO) is used to calibrate part of the high sensitivity parameters in the activated sludge process model. Simulation results show that the effectiveness of MOPSO for parameter calibration is obvious, which can further improve the accuracy of the model.
Due to the characteristics of source limited, multi-to-one paths and burst data flow, congestion inevitable happens in wireless sensor networks(WSNs). The control mechanism of congestion for WSNs is of high significan...
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ISBN:
(纸本)9781479937097
Due to the characteristics of source limited, multi-to-one paths and burst data flow, congestion inevitable happens in wireless sensor networks(WSNs). The control mechanism of congestion for WSNs is of high significant and plays a key role in achieving high QoS of the network. In this paper, many existing congestion control mechanisms have been summarized and compared, some interesting topics have been provided.
Conventional principal component analysis(PCA)-based methods can conduct dimensionality reduction on process variables and can obtain low-dimensional representations that capture most of the variance information in ...
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Conventional principal component analysis(PCA)-based methods can conduct dimensionality reduction on process variables and can obtain low-dimensional representations that capture most of the variance information in the original data ***,principal components(PCs)with larger variance of normal data cannot guarantee the capture of the largest variations in fault data since the fault information is complicated and *** other words,the last PCs with smaller variance may be as important as those with larger ***,PCs selection based on variance in the PCA is subjective,which can lead to information loss and poor monitoring *** address both dimension reduction and information preservation simultaneously,this paper proposes a novel PCs selection scheme named full variable expression(FVE).On the basis of the proposed relevance of variables with each principal component,the key principal components can be *** relevance indicates the expression degree of the original variables on each principal *** the key principal components serve as a low-dimensional representation of the entire original variables,thereby preserving the information of the original data space without undergoing information loss.A squared Mahalanobis distance,which is introduced as the monitoring statistic,is calculated directly in the key principal components space for fault *** order to test the modeling and monitoring performance of the proposed method,a numerical example and the Tennessee Eastman(TE)benchmark case studies are provided.
the Molecular weight distribution(MWD)is an important quality index for the polymer material,but detecting the MWD in real-time is still difficult by *** rapid real-time detection method for MWD with good accuracy is ...
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the Molecular weight distribution(MWD)is an important quality index for the polymer material,but detecting the MWD in real-time is still difficult by *** rapid real-time detection method for MWD with good accuracy is the current hotspot in the polymer *** from the method other literatures have described,in this work the reaction mechanism and the industrial information will be merged to build a hybrid model for the MWD to solve the prediction accuracy and real-time problems,using the weighted superposition of the distribution function on each active center of catalyst to fit the MWD and applying the multi-output support vector machine regression(MSVR)algorithm to describe the relationship between process conditions and the parameters of distribution *** the unconstrained nonlinear optimization method has been used to optimize the process conditions based on the hybrid ***,the application of the above-mentioned approach in the ethylene polymerization process has verified the feasibility.
Most of industrial model-based predictive control algorithms are suffering from heavy computation burden when solving QR optimizations and on-line matrixes multiplication within a limited sampling *** order to optimiz...
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Most of industrial model-based predictive control algorithms are suffering from heavy computation burden when solving QR optimizations and on-line matrixes multiplication within a limited sampling *** order to optimize this problem,a fast algorithm is proposed,which the real-time values are modulated into bit streams to simplify the multiplication as the bit based operation could extremely decrease the compute *** addition,the control variables are deduced from the prediction horizon to the current control actuation approximately by a recursive relation instead of figuring all of the control actuations out strictly to reduce the matrix dimension.
This paper considers the distributed estimation of an unstable target via constant-gain estimators under local communications and channel fading. The communication graph is assumed to be fixed and undirected, and the ...
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The application of appropriate advanced treat- ment process in the municipal wastewater treatment plants (WWTPs) has become an important issue considering the elimination of emerging contaminants, such as pharma- ce...
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The application of appropriate advanced treat- ment process in the municipal wastewater treatment plants (WWTPs) has become an important issue considering the elimination of emerging contaminants, such as pharma- ceutical and personal care products (PPCPs). In the present study, the removal of 13 PPCPs belonging to different therapeutic classes by the sequential ultraviolet (UV) and ozonation process in a full-scale WWTP in Beijing was investigated over the course of ten months. Most of the target PPCPs were effectively removed, and the median removal efficiencies of individual PPCPs, ranging from -13% to 89%, were dependent on their reaction rate constants with molecular ozone. Noticeable fluctuation in the removal efficiencies of the same PPCPs was observed in different sampling campaigns. Nevertheless, the sequential UV and ozonation process still made a significant contribution to the total elimination of most PPCPs in the full-scale WWTP, by compensating for the poor or fluctuant removal performance of PPCPs by biologic treatment process.
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