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.
Measurement data usually do not reflect actual chemicalprocesses correctly because of inevitable errors in measurement, which is known as unbalance of measurement data. Data reconciliation and gross error detection a...
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Color night-vision technology increases the representation ability of monochrome night-vision imagery by adding color to it, making observers’ understanding easier. Usually the color night-vision methods require the ...
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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.
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.
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.
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.
This paper studies the dynamic output feedback consensus problem of multi-agent systems over analog fading *** the case of undirected communication topology,both sufficient and necessary conditions are presented for m...
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ISBN:
(纸本)9781479947249
This paper studies the dynamic output feedback consensus problem of multi-agent systems over analog fading *** the case of undirected communication topology,both sufficient and necessary conditions are presented for mean square consensus of discrete-time LTI multi-agent systems over analog fading *** is further shown that in the case of single output,the sufficient condition is also necessary,while for other cases,the gap between the sufficient condition and the necessary condition may be ***,sufficient and necessary conditions are also provided for the mean square consensus over a balanced directed communication topology by using Lyapunov *** the derived criteria demonstrate intricately how system dynamics,communication quality and network topological structure interplay with each other to allow the existence of a linear distributed consensus controller.
In order to save communication consumption in the wireless nodes of networked control systems, this paper investigates the stabilization problem of an event-triggered constrained model predictive control. A state-feed...
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ISBN:
(纸本)9781479925391
In order to save communication consumption in the wireless nodes of networked control systems, this paper investigates the stabilization problem of an event-triggered constrained model predictive control. A state-feedback predictive control law is designed by solving an infinite horizon performance objective and an event-triggered condition involving the norm of a measurement error is derived based on input-to-state stability. Under the proposed mechanism, the measurements are sent by wireless network and the predictive controloptimization is implemented only when the triggering conditions are satisfied. This approach not only can alleviate the energy consumption but also achieves the desired control performance and constraints satisfaction. Finally, an example is given to illustrate the effectiveness of the proposed results.
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