We use the novel modified differential evolution (NMDE) algorithm algorithm to determine the model parameters of photovoltaic modules in this paper. NMDE is a new proposed DE variation, and each solution has its own s...
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ISBN:
(纸本)9781467355339
We use the novel modified differential evolution (NMDE) algorithm algorithm to determine the model parameters of photovoltaic modules in this paper. NMDE is a new proposed DE variation, and each solution has its own scale factor and crossover rate. In detail, for each solution vector, its own scale factor and crossover rate are adaptively adjusted in terms of the corresponding values of all successful solutions. In addition, if it is continuously at a standstill during a fixed number of iterations SP (Stagnation period), its scale factor and crossover rate will be randomly generated according to normal distribution. Experimental results show that NMDE is an effective method on finding suitable parameters of PV model.
It is well known that the electro-hydraulic actuator (EHA) system is exposed to the disturbances, uncertainties, and parameter variations which are caused by the changes in operating conditions for instance, total mov...
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Accurate state of charge (SOC) estimation is crucial for the safe operation of lithium-ion batteries (LIBs), yet existing methods are limited by sensitivity to initial SOC guess or high computational complexity. To ad...
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This article presents developments by its authors: the IndustrialKit library package and the RCWorkspace application based on it. The library allows developers of third-party applications to use the functionality of p...
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In this paper, the robust analysis and design of leader-following output regulation for multi-agent systems described by general linear models is given in presence of timevarying delay and model uncertainty. To this a...
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In this paper, the robust analysis and design of leader-following output regulation for multi-agent systems described by general linear models is given in presence of timevarying delay and model uncertainty. To this aim, a new regulation protocol for the closed-loop multi-agent system under a directed graph is proposed. An important specification of the proposed protocol is to guarantee the leader-following output regulation for uncertain multi-agent systems with both stable and unstable agents. Since many signals can be approximated by a combination of the stationary and ramp signals, the presented results work for adequate variety of the leaders. The analysis and design conditions are presented in terms of certain matrix inequalities. The method proposed can be used for both stationary and ramp leaders. Simulation results are presented to show the effectiveness of the proposed method.
This paper proposes the analysis of the material can be protected from transformer testing and presents a mathematical model of the power transformer. In this research, transformers were study in four protective mater...
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Bio-modeling has important role in virtual reality in telemedicine providing base for simulations and decisions. Virtual reality is based on sequences of volumetric images whose motion is captured in time. These data ...
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ISBN:
(纸本)9789973879141
Bio-modeling has important role in virtual reality in telemedicine providing base for simulations and decisions. Virtual reality is based on sequences of volumetric images whose motion is captured in time. These data sets are typically very large in size and demand a great amount of resources for storage and transmission. Therefore it is necessary to compress this data both fast and efficiently. We will propose combination of lossless and lossy compression models to obtain toset demands.
Today Coriolis meters offer the beat performance in mass flow measurement. For those applications, where accuracy, low pressure drop and good cleanability is needed, the single straight tube is the best alternative. T...
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The development of production and increasing usage of light electric vehicles such as electric bicycles and electric scooters entails development of batteries, battery chargers and fast charging algorithms. Batteries ...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the curr...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.
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