In this paper, competitive neural networks with time-varying and distributed delays are investigated. By utilizing Lyapunov functional methods, the global exponential stability of periodic solutions of the neural netw...
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In this paper, competitive neural networks with time-varying and distributed delays are investigated. By utilizing Lyapunov functional methods, the global exponential stability of periodic solutions of the neural networks is discussed on time scales. In addition, an example is given to illustrate the effectiveness of the theoretical results.
The visualization of layer distribution of furnace burden in the time-radial-height dimension was presented based on array radar measured data. Abnormal data mining and data sampling method were adopted to obtain vali...
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In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays...
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This paper proposes a stator flux and rotor speed estimation method for induction motor (IM) based on extended complex Kalman filter (ECKF). A complex-valued model is adopted that allows a simpler and more effective s...
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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 ...
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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.
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.
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