The aim of this research is to set up a possible model for describing automotive supply chain networks. The work to be presented analyses the real-world environment and its changes in a broader view. The research prov...
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The aim of this research is to set up a possible model for describing automotive supply chain networks. The work to be presented analyses the real-world environment and its changes in a broader view. The research provides the extension of the mathematical modeling domain, accordingly. The paper studies the basic relational structure of automotive supply chain, where the methodology is determined by the classical business strategic levels. This is done by combining the theories of network and theories for traffic systems. We uncover the hidden relational parallelism between the automotive supply chain and positive systems, complex networks and find that the industry network shows some similar scale-free structural properties indicating the existence of a typical dependence and dominance structure with complex dynamical behavior.
The operation of splicing on words was introduced by Tom Head while proposing a theoretical model of DNA recombination. Subsequent investigations on splicing on linear and circular strings of symbols have resulted in ...
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In this work, a practical event-based framework for multivariable processes is introduced. The developed control algorithm is based on a Generalized Predictive control (GPC) algorithm suitable for MIMO systems. The mo...
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Large scale, cyber-infrastructure systems include a large base of heterogeneous data sources, geographically distributed. Cloud storage services can be an ideal candidate for storing all these data. However, it is dif...
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Large scale, cyber-infrastructure systems include a large base of heterogeneous data sources, geographically distributed. Cloud storage services can be an ideal candidate for storing all these data. However, it is difficult to find the optimal solution in order to select a set of storage providers, with respect to different multiple objectives of this type of systems, such as cost optimization, budget constraints, Quality of Service (QoS), load balancing etc. In this paper, we study the multi-objective optimization problem for storage service selection with budget constraints. We start from a real world case scenario and build our mathematical model for the optimization problem. Then we propose a linear programming technique to find a near optimal solution for the service selection problem.
The paper deals with a mathematical model of switched reluctance motor, with stator of on induction motor. The parameters of this model were determined experimentally. The motor winding were supplied from different fr...
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The paper deals with a mathematical model of switched reluctance motor, with stator of on induction motor. The parameters of this model were determined experimentally. The motor winding were supplied from different frequencies AC voltage source. Based on the measurements of current and voltage equivalent resistance and inductance of motor windings as a function of frequency were determined using the least squares method. The measurements for different rotation angle of the rotor were carried out. The measured resistance value was significantly higher than the value of the winding resistance because of “iron losses”. The losses are modeled as the losses of a single turn wound on the rotor core, representing the eddy currents circuit. The losses are dependent on the angle of the rotor rotation relative to the stator. Based on the relationship between the equivalent inductance and resistance of the motor measured and specified of the model, the parameters were determined.
In this paper, an online learning algorithm based on policy iteration is established to solve the optimal control problem for weakly coupled nonlinear continuous-time systems. Using the weak coupling theory, the origi...
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ISBN:
(纸本)9781467386838
In this paper, an online learning algorithm based on policy iteration is established to solve the optimal control problem for weakly coupled nonlinear continuous-time systems. Using the weak coupling theory, the original problem is transformed into three reduced-order optimal control problems. To obtain the optimal control laws without system dynamics, we construct an online data-based integral policy iteration algorithm which is used to solve the decoupled optimal control problems. The actor-critic technique based on neural networks and the least squares method are used to implement the model-free learning algorithm. A simulation example is given to verify the applicability of the developed algorithm.
This paper establishes two invariance principles for delay differential *** delay differential inclusions are required to satisfy the basic assumptions:the right-hand sides are upper semicontinuous and take nonempty c...
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This paper establishes two invariance principles for delay differential *** delay differential inclusions are required to satisfy the basic assumptions:the right-hand sides are upper semicontinuous and take nonempty compact and convex values on the *** classical La Salle's invariance principle for delay differential inclusions is established successfully by locally Lipschitz Lyapunov-Krasovskii functionals and several stability corollaries are ***,the concept of limit delay differential inclusions is proposed to generalize the invariance principle to time-varying delay differential *** numerical examples are given to show the effectiveness of the proposed results.
In order to support the maintenance manager in making a good choice of the maintenance strategy, this paper focuses on the qualitative and quantitative comparisons of the dynamic and stationary grouping models. The qu...
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This paper investigates observer parameterizations and its application to observerbased fault detection for nonlinear systems. With the aid of coprime factorization techniques, the observer parameterization forms are ...
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