Multiblock principal component analysis (MBPCA) methods are gaining increasing attentions in monitoring plant-wide processes. Generally, MBPCA assumes that some process knowledge is incorporated for block division;how...
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A series of optimized signal processing algorithm was proposed for the radar system based on two-dimensional imaging of the burden surface. Firstly, a self-correlation algorithm was proposed to restrain background noi...
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Joint optimization of the source transmission power, the relay transmission power, and the time switching (TS) ratio is investigated in orthogonal frequency division multiple access wireless powered relay networks. Th...
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Joint optimization of the source transmission power, the relay transmission power, and the time switching (TS) ratio is investigated in orthogonal frequency division multiple access wireless powered relay networks. The relay does not have embedded energy supply and needs to first harvest energy from the received signals from the source before using amplify and forward transmission strategy for forwarding transmission. Time switching scheme is used by the relay for wireless information and power transfer. The resource allocation problem aims at maximizing the sum rate under the source transmission power, the relay harvested energy, and the TS ratio constraints. The joint resource allocation problem is formulated as an optimization problem, which is non-convex and generally difficult to solve. Then an alternate convex search algorithm, which alternately finds the optimal solution to one kind of variables by fixing the other two kinds of variables, is proposed. The convergence of the algorithm is proven as well. Simulations verify the better performance of the proposed algorithm compared with two related algorithms.
Differential evolution (DE) is a simple but powerful evolutionary algorithm, which has been widely and successfully used in many areas. In this paper, an impulsive control method is introduced to the DE framework, and...
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ISBN:
(纸本)9781479974931
Differential evolution (DE) is a simple but powerful evolutionary algorithm, which has been widely and successfully used in many areas. In this paper, an impulsive control method is introduced to the DE framework, and the impulsive DE (IpDE) is proposed for improving the performance of DE. The impulsive control operation instantly moves the individuals which do not update for continuous pre-defined generations to a desired state based on the individuals with better fitness values in the current population. This way, IpDE controls individuals' positions in the space domain according to the stagnation status of the population. In order to validate the effectiveness of IpDE, the presented framework is applied to the original DE algorithms, as well as several state-of-the-art DE variants. Experimental results exhibit that IpDE is a simple but effective framework to improve the performance of the studied DE algorithms.
This paper presents an improved active disturbance rejection controller to study the trajectory tracking problem of a pneumatic servo system. It is a challenging job to track a given trajectory for pneumatic system wi...
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ISBN:
(纸本)9781467374439
This paper presents an improved active disturbance rejection controller to study the trajectory tracking problem of a pneumatic servo system. It is a challenging job to track a given trajectory for pneumatic system with strong nonlinearity. The designed active disturbance rejection controller consists of tracking differentiator, extended state observer and nonlinear *** differentiator is designed to arrange a transition process for the given signal and get its corresponding differential *** state observer has advantages in observing states and estimating the nonlinear part of system. Moreover, a nonlinear controller is derived on the basis of backstepping approach. Finally, simulation results indicate the capabilities of the proposed method.
The green project fulfills the requests of industrial management and application by sharing data rather than isolating. The data center with energy-efficient equipment is correspondingly effective in industrial servic...
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In this paper, we investigate the problems of stabilization of networked control systems with packets dropout via delta operator approach. A sliding mode controller is constructed to analyze the stochastic stability o...
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ISBN:
(纸本)9781467374439
In this paper, we investigate the problems of stabilization of networked control systems with packets dropout via delta operator approach. A sliding mode controller is constructed to analyze the stochastic stability of the closed-loop networked control systems. The process of packets dropout is modeled as a Bernoulli process. Sufficient LMI conditions are developed to guarantee the existence of the discrete linear sliding surfaces. By solving the conditions, a linear sliding surface is characterized and a sliding mode controller is designed. Simulation results are given to demonstrate the effectiveness of the proposed approach.
This paper proposes a novel finite-time consensus tracking protocol for guaranteeing heterogeneous multi-agent systems with a virtual leader to achieve the fast finite-time consensus tracking. The Lyapunov function me...
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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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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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