This letter studies some nonlinear fractional differential equations. The sub-equation method is used for finding exact solutions of these equations. Meanwhile, the traveling wave transformation method has been used t...
This letter studies some nonlinear fractional differential equations. The sub-equation method is used for finding exact solutions of these equations. Meanwhile, the traveling wave transformation method has been used to convert fractional order partial differential equation to fractional order ordinary differential equation. Calculations in this method are simple and effective mathematical tool for solving fractional differential equations in science and engineering. The power of this manageable method is presented by applying it to several examples. This approach can also be applied to other nonlinear fractional differential equations.
Reply plan is a kind of opposability plan of adversarial plan. It is impossible to design a general reply plan since the adversarial plan is complex and diverse. And the difficulties stem from the facts that reply pla...
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ISBN:
(纸本)9781784660468
Reply plan is a kind of opposability plan of adversarial plan. It is impossible to design a general reply plan since the adversarial plan is complex and diverse. And the difficulties stem from the facts that reply plan cannot be rehearse. To meet these challenges, this paper presents a reply plan with defense mechanism(RPDM) inspired by the human stress response. The paper views the stress response as a template that can against threats, and exploits such properties to design the RPDM. The paper concludes with a demonstration to illustrate how the RPDM works and discusses potential applications.
Model predictive control has become a widely accepted strategy in industrial applications in the recent years. Often mentioned reasons for the success are the optimization based on a system model, consideration of con...
Model predictive control has become a widely accepted strategy in industrial applications in the recent years. Often mentioned reasons for the success are the optimization based on a system model, consideration of constraints and an intuitive tuning process. However, as soon as unknown disturbances or model plant mismatch have to be taken into account the tuning effort to achieve offset-free tracking increases. In this work a novel approach for offset-free MPC is presented, which divides the tuning in two steps, the setup of a nominal MPC loop and an external reference adaptation. The inner nominal loop addresses the performance targets in the nominal case, decouples the system and essentially leads to a first order response. The second outer loop enables offset-free tracking in case of unknown disturbances and consists of feedback controllers adapting the reference. Due to the mentioned properties these controllers can be tuned separate and by known guidelines. To address conditions with active input constraints, additionally a conditional reference adaptation scheme is introduced. The tuning strategy is evaluated on a simulated linear Wood-Berry binary distillation column example.
In recent years the authors of the present paper introduced a powerful approximation fra or the graph edit distance problem. The basic idea of this approximation is to build a square cost matrix C = (cj), where each e...
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ISBN:
(纸本)9781479952106
In recent years the authors of the present paper introduced a powerful approximation fra or the graph edit distance problem. The basic idea of this approximation is to build a square cost matrix C = (cj), where each entry reflects the cost of a node substitution, deletion or insertion plus the matching cost arising from the local edge structure. Based on C an optimal assignment of the nodes and their local structure can be established in polynomial time (using, for instance, the Hungarian algorithm). Since this approach considers the local -- rather than the global -- structural properties of the graphs only, the obtained graph edit distance value is suboptimal in the sense of overestimating the true edit distance in general. The present paper pursues the idea of including topological information in the node labels in order to increase the amount of structural information available during the initial assignment process. In an experimental evaluation on three real world data sets a reduction of the overestimation can be observed while the run time is only moderately increased compared to our original framework.
In this paper, we use the fractional complex transform and the (G'/G)-expansion method to study the nonlinear fractional differential equations and find the exact solutions. The fractional complex transform is prop...
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In this paper, we use the fractional complex transform and the (G'/G)-expansion method to study the nonlinear fractional differential equations and find the exact solutions. The fractional complex transform is proposed to convert a partial fractional differential equation with Jumarie's modified Riemann-Liouville derivative into its ordinary differential equation. It is shown that the considered transform and method are very efficient and powerful in solving wide classes of nonlinear fractional order equations.
Various methods for detecting optic disc and macula in fundus images have been developed. Our aim is to propose a fairly easy method for detecting both features jointly. This is achieved by first correcting inhomogeno...
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We provide an overview of current techniques and typical applications of numerical bifurcation analysis in fluid dynamical *** of these problems are characterized by high-dimensional dynamical systems which undergo tr...
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We provide an overview of current techniques and typical applications of numerical bifurcation analysis in fluid dynamical *** of these problems are characterized by high-dimensional dynamical systems which undergo transitions as parameters are *** computation of the critical conditions associated with these transitions,popularly referred to as‘tipping points’,is important for understanding the transition *** describe the two basic classes of methods of numerical bifurcation analysis,which differ in the explicit or implicit use of the Jacobian matrix of the dynamical *** numerical challenges involved in both methods are mentioned and possible solutions to current bottlenecks are *** demonstrate that numerical bifurcation techniques are not restricted to relatively low-dimensional dynamical systems,we provide several examples of the application of the modern techniques to a diverse set of fluid mechanical problems.
Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is group-wise fault isolation. Here, a group of faults is...
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Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is group-wise fault isolation. Here, a group of faults is isolated from other possible faults in the system. The group-wise fault isolation is based directly on the input/output signals applied for the fault detection. It is guaranteed that the fault group includes the fault that had occurred in the system. The second step is individual fault isolation in the fault group. Both types of isolation are obtained by applying dedicated auxiliary inputs and the associated residual outputs.
The increasing awareness of the pivotal role of noise in biochemical systems has given rise to a strong need for suitable stochastic algorithms for the description and the simulation of biological phenomena. However, ...
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The increasing awareness of the pivotal role of noise in biochemical systems has given rise to a strong need for suitable stochastic algorithms for the description and the simulation of biological phenomena. However, the high computational demand that characterizes stochastic simulation approaches coupled with the necessity to simulate the models several times to achieve statistically relevant information on the model behaviors makes the application of such kind of algorithms often unfeasible. So far, different parallelization approaches have been employed to reduce the computational time required for the analysis of biochemical systems modeled using stochastic algorithms. Most of the proposed solutions use an embarrassingly parallel approach to run in parallel several simulations using the cores of a workstation and/or the nodes of a cluster. In this work we present the Spatial TAU-leaping in Crowded Compartments (STAUCC) simulator, a software that relies on an efficient CUDA implementation of the Stau-DPP algorithm, a voxel-based method for the stochastic simulation of Reaction-Diffusion processes. We evaluate its application and performance for the modeling of diffusion processes simultaneously occurring within a space represented considering different levels of granularity.
Although physicochemical fractionation techniques play a crucial role in the analysis of complex mixtures, they are not necessarily the best solution to separate specific molecular classes, such as lipids and peptides...
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