In fact the mission for a danger control system consists of several phases. The system configuration, operational requirements for individual components, success criteria and stress on the components, can change from ...
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Grid is a hardware and software infrastructure which allows the sharing of flexible, secure and coordinated resources among dynamic collections of individuals, organizations and resources. The resources that are utili...
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This paper presents a genetic algorithm coordinated by fuzzy rule models to solve the vehicle routing problem with time windows. The fuzzy rule-based coordinators play distinct roles during the genetic algorithm execu...
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This paper presents a genetic algorithm coordinated by fuzzy rule models to solve the vehicle routing problem with time windows. The fuzzy rule-based coordinators play distinct roles during the genetic algorithm execution. The aim is to trade-off exploration and exploitation behavior for route and distance minimization. Experimental results using classic benchmark test instances suggest that the fuzzy coordinated genetic approach is competitive against classic genetic algorithm.
The noise image is decomposed into the unknown true image u and the noise v by a new image de-noising method based on image decomposition. The common decomposition models are all dense and can only be transformed into...
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作者：
Klaus JanschekInstitute of Automation
Faculty Electrical and Computer Engineering Technische Universitat Dresden Germany (Tel: +49-351-463-34025)
The current paper presents a unified lumped parameter modeling approach for deriving generic analytical system models of reciprocal electromechanical (mechatronic) transducers for various physical working principles (...
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The current paper presents a unified lumped parameter modeling approach for deriving generic analytical system models of reciprocal electromechanical (mechatronic) transducers for various physical working principles (e.g. electrostatic, piezoelectric, electromagnetic, electrodynamic). Starting from constitutive physical relations representing natural laws, the model hierarchy comprises energy based nonlinear EULER-LAGRANGE behavior models, linearized electromechanical two-port models forming constitutive transducer equations and MIMO transfer function models describing the causality based signal flow behavior to be used for control system design and analysis purposes. It is shown that the models describe in a generic way the unified behavior of reciprocal transducers under different operating conditions, e.g. voltage vs. current control. Moreover the models allow in a straightforward way the generic discussion, i.e. independent from the concrete physical working principle, of important transducer operational concepts such as impedance feedback or self-sensing.
The paper proposes to realize a simulator for testing roaming algorithms in wireless networks. The simulator is made as a Windows application, which commands through USB the attenuators. The attenuators are related wi...
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The paper proposes to realize a simulator for testing roaming algorithms in wireless networks. The simulator is made as a Windows application, which commands through USB the attenuators. The attenuators are related with the Access Points (APs). Proximity or the distance, of the mobile client (CL) com-pared to AP, is simulated by changing attenuation of the signal path derived from the AP's antenna. The simulator is the result of collaboration with the Embedded Wireless gmbh company, which provided the material for testing and use.
The unbalanced magnetic forces which act upon the rotor of a salient-pole synchronous generator due to eccentric motion of the rotor shaft in the presence of magnetic field originating from the field current in no-loa...
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This paper describes a position control of 2 degrees of freedom (DOF) XY Piezo Actuator Stage (XY PAS) with Feedforward Neural Network (FNN) and additional Particle Swarm Optimization (PSO) approach, which is used as ...
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This paper describes a position control of 2 degrees of freedom (DOF) XY Piezo Actuator Stage (XY PAS) with Feedforward Neural Network (FNN) and additional Particle Swarm Optimization (PSO) approach, which is used as an improved learning method for optimizing the weights of FNN rather than just the standard technique of back-propagation of errors.
Network flow problems are among the most important ones in graph theory. Since there are many well-known polynomial algorithms for solving the classical Maximum Flow Problem, we, instead of summarising them, focus on ...
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We extend a `surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a ...
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We extend a `surrogate problem' approach that is developed for a class of stochastic discrete optimization problems so as to tackle the global signal settings and traffic assignment combined problem. We compare a stochastic method based on the surrogate approach, called Surrogate Method (SM), with a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine. Numerical experiments conducted on a test network show that the surrogate method converges to a really small area and it finds much more efficient solutions.
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