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.
The developments of cones of depression in the North China Plain(NCP) were studied to determine the possible impact of the proposed South-to-North Water Diversion Project(SNWDP) on groundwater *** the past five decade...
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The developments of cones of depression in the North China Plain(NCP) were studied to determine the possible impact of the proposed South-to-North Water Diversion Project(SNWDP) on groundwater *** the past five decades,the exploitation of groundwater in the NCP has been *** hydrological and hydrogeological problems were caused by the gradual decline of the water table in the *** order to protect groundwater resources and alleviate hydrogeological problems,the SNWDP was proposed to progressively solve the shortage of water resources in northern *** this paper,the development of cones of depression was studied to determine the possible impact of the hydrological engineering,the *** the study,a numerical model for regional groundwater flow was created using *** results showed that the SNWDP is beneficial for groundwater recovery in the *** area of cones of depression will be reduced to varying *** immense groundwater cones will gradually ***,it will take a long time to recover groundwater environment in the NCP.
Low pressure chemical vapor deposition(LPCVD)is one of the most important processes during semiconductor ***,experience based control is often used to design this *** few data of thin film thickness on wafers can be a...
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Low pressure chemical vapor deposition(LPCVD)is one of the most important processes during semiconductor ***,experience based control is often used to design this *** few data of thin film thickness on wafers can be available after a long-depositing-time ***,the spatial distribution of temperature makes it hard to control product quality on the multiple *** this work,an optimal design strategy based on the Gaussian process model(GPM)is proposed to control this kind of spatial batch *** the conventional model based design,GPM built up from the data of wafer thicknesses in previous *** it will be employed to predict the thickness of all the wafers on different spatial ***,the predictive uncertainties provided by GPM are also taken into consideration to guide the optimal design of manipulated variables so that the controlling can be more *** effectiveness of the proposed strategy is successfully demonstrated in an LPCVD process.
In this paper, we consider a class of second-order uncertain nonlinear systems. Besides parametric uncertainties, a non-parametric uncertainty may exist in every state equation or channel with its effects bounded by a...
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In this paper, we consider a class of second-order uncertain nonlinear systems. Besides parametric uncertainties, a non-parametric uncertainty may exist in every state equation or channel with its effects bounded by a known function. Such a bounding function is allowed to depend on all system states which means that the actual system does not need to meet the triangular structure. Therefore the currently available backstepping technique cannot be used to design controllers. To overcome such difficulty, a new backatepping-based robust adaptive control scheme is proposed. It is shown that the proposed scheme can ensure all signals in the closed-loop system bounded.
Optimal signal timing is an efficient and effective method to mitigate traffic congestion in urban road traffic networks. In this paper, we propose a new method for signal-timing optimization of urban arterial roads. ...
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Optimal signal timing is an efficient and effective method to mitigate traffic congestion in urban road traffic networks. In this paper, we propose a new method for signal-timing optimization of urban arterial roads. The main idea to the method is to design a bi-direction green wave band for arterial roads. In order to reduce delay and stops, an arterial road signal coordination approach is developed. In addition, the arterial signal coordination approach has been expanded to deal with the problem of coordination for urban traffic networks coordination control. Finally, simulation experiments are given to illustrate the effectiveness of the proposed method.
This study proposes an efficient mixed integer linear programming (MILP) model for a generalized job shop production process. In the process, a workstation contains one or multiple machines and each job visits some of...
This study proposes an efficient mixed integer linear programming (MILP) model for a generalized job shop production process. In the process, a workstation contains one or multiple machines and each job visits some of the workstations in a specific sequence. It is allowed that a job visits the same workstation more than once. Although some similar processes were modeled by MILP in previous studies, the models are unable to solve problems that involve more than ten jobs due to high computational complexity. Our proposed model outperforms the best model that is identified among 23 research papers with regard to computational complexity. Simulation results show that our model is able to solve a problem with a dozen of jobs, which is classified as a large-scale problem in the literature.
The paper deals with the globally asymptotically stability of dynamical neural networks with time-varying *** sufficient conditions for the globally asymptotically stable of the neural networks are obtained by Lyapuno...
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ISBN:
(纸本)9781479946983
The paper deals with the globally asymptotically stability of dynamical neural networks with time-varying *** sufficient conditions for the globally asymptotically stable of the neural networks are obtained by Lyapunov-Razumikhin ***,we discuss the stability conditions which do not require the activation functions to be differential,bounded,or monotone *** examples are also applied to illustrate the efficiency of the results.
In this paper, we consider an unstable linear parabolic diffusion-reaction PDE system with an actuator at the right boundary via the Dirichlet condition. We begin to derive the first order necessary conditions for the...
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ISBN:
(纸本)9781479947249
In this paper, we consider an unstable linear parabolic diffusion-reaction PDE system with an actuator at the right boundary via the Dirichlet condition. We begin to derive the first order necessary conditions for the open loop finite-time horizon problem using the classical variational approach. Then, we discuss the the state-feedback problem, and obtain the feedback law by formulating the Riccati partial differential equation(PDE). Finally, with the feedback law, we could prove the stability for the state-feedback problem exponential stability with any given decay rate in the time domain without solving the Riccati PDE.
The intersection models, such as delay models and queuing length models, are the foundations of optimal signal timing for urban intersection. Lack of the field data of intersection, it is highly difficult to calibrate...
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In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time sys- tems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a...
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In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time sys- tems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a full order reliable H-infinity filter such that the filtering error dynamics is asymptotically stable with a guaranteed disturbance rejection atten- uation level -y. It is shown that the filtering error dynamics obtained from the original system plus the filter can be modeled by a linear system with sector bounded nonlinearity. The design conditions are given in terms of solutions to a set of linear matrix inequalities (LMIs). These conditions are then considered in a convex optimization problem with LMIs constraints in order to design an optimal reliable H-infinity filter. A numerical example is given to illustrate the effectiveness of the proposed results.
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