Human sleep stages during whole night are usually classified into six stages based on polysommnographic (PSG) record. Sleep state of human light sleep changes gradually and continuously. In this study, automatic judgm...
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The objective of two-dimensional optimal nesting problem is to place the same or different pieces of the fixed quantity on the sheet in this paper. What we want to do is increase the rate of utility and decrease the w...
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In wireless sensor networks, virtual backbone has been proposed as the routing infrastructure to alleviate the broadcasting storm problem and perform some other tasks such as area monitoring. Previous work in this are...
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In wireless sensor networks, virtual backbone has been proposed as the routing infrastructure to alleviate the broadcasting storm problem and perform some other tasks such as area monitoring. Previous work in this area has mainly focused on how to construct a small virtual backbone for high efficiency, which is modeled as the minimum Connected Dominating Set (MCDS) problem. However, the nodes in the CDS need to carry other nodes' traffic and they are subject to failure. Therefore, it is desirable to construct a fault tolerant CDS. In this paper, we first propose a distributed algorithm to construct a connected dominating set (DACDS). Based on DACDS, we further develop a fault tolerant algorithm (kCDS). We also show our algorithm have better performance ratios and low message complexity.
In this paper, a novel proportional-integral (PI) switching surface is introduced for determining the synchronization performance of systems in the sliding mode motion. Based on the sliding mode controller, the system...
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In this paper, a novel proportional-integral (PI) switching surface is introduced for determining the synchronization performance of systems in the sliding mode motion. Based on the sliding mode controller, the system is established by a robust control scheme which guarantees the occurrence of a sliding motion of error states even when the parameter uncertainty and external disturbance are present. So this paper researches on robust synchronization problem by investigating a highly complex dynamic nonlinear system-chaotic systems. Some simulation results on controlling different chaotic systems are made and investigated in order to demonstrate the good performance of the method and this control design process is much easier to be completed.
Integrating the sliding mode control (SMC) theory with state-dependent Riccati equation (SDRE), a new design method of global robust optimal sliding mode control for a class of affine nonlinear systems with uncertaint...
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Integrating the sliding mode control (SMC) theory with state-dependent Riccati equation (SDRE), a new design method of global robust optimal sliding mode control for a class of affine nonlinear systems with uncertainties is studied in this paper. First, by using the SDRE approach, an optimal control law for nonlinear systems without uncertainties is obtained. Then the sliding mode control theory is used to robustify the optimal control system, which is affected by the parameter variations or extraneous disturbances. As a result, the system is global robust to uncertainties. So the global robust optimal sliding mode control base on SDRE is realized. Finally, the optimal performance and robustness to system uncertainty of the proposed approach are demonstrated successfully by a simulation example.
The current regulation based on the internal model control is applied to vector control of PMSM. It avoids the adjustment of two PI-parameters; moreover the IMC structure improves the characteristic of the current loo...
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The current regulation based on the internal model control is applied to vector control of PMSM. It avoids the adjustment of two PI-parameters; moreover the IMC structure improves the characteristic of the current loop. Generally, the flux of PMSM is changing with the load current (torque). Simulation results under flux saturation considered and not considered show that the current internal model controller can provide good performance with matched model and unmatched model. And the system has good features of the robustness to disturbances, and parameter variations. Satisfactory performance can be achieved.
For the common time-delay problems in the industrial process control, combined with controlling superiority and a good tracking performance in feedforward control of internal model control(IMC) on the time-delay syste...
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For the common time-delay problems in the industrial process control, combined with controlling superiority and a good tracking performance in feedforward control of internal model control(IMC) on the time-delay system, a method based on feedforward compensation is brought up. In this paper, for the glass tank furnace charged with variable time lag, as well as the input variables vulnerable to interference, we use the method to carry out the analysis, the results show that the method has a good track and disturbance rejection performance in time-delay system.
Dynamic matrix control algorithm is a predictive control algorithm based on step response of the object, suitable for complex control systems and the process whose mathematical model is difficult to be established pre...
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Dynamic matrix control algorithm is a predictive control algorithm based on step response of the object, suitable for complex control systems and the process whose mathematical model is difficult to be established precisely. In the article, the dynamic matrix control algorithm has been studied, we analyse the impact on system control quality using dynamic matrix control algorithms with different setting parameters, and make simulation in the thermal power plants control process. The simulation results show that dynamic matrix predictive control algorithm can achieve good control effect in the process.
It is very important, by analyzing and processing ultrasonic echo signals of seabed oil pipeline, to acquire the effective information. Because of the complicated detection system structure and ultrasound coupler impu...
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It is very important, by analyzing and processing ultrasonic echo signals of seabed oil pipeline, to acquire the effective information. Because of the complicated detection system structure and ultrasound coupler impurity, there are inevitably different noises in echo signals. In order to improve the accuracy of detection, it is very necessary to process ultrasonic echo signals by de-noising. According to characteristics of ultrasonic echo signals, we proposed a de-noising method, based on wavelet packet in this article. With this method, the principle of wavelet packet de-noising and the selection of threshold functions are applied into detecting and de-noising ultrasonic echo signals. The experiment and simulation results show that this de-noising method, by increasing the signal-to-noise ratio, can obviously improve the noise suppression effect and detection accuracy on ultrasonic echo signals of seabed oil pipeline.
This paper presents an improved particle swarm optimization (IPSO) to solve constrained optimization problems, which handles constraints based on certain feasibility-based rules. A turbulence operator is incorporated ...
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