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The real utility of simulation lies in comparing different design choices by evaluating models represented using a simulation framework. In an earlier paper, we presented the Simultaneous Simulation of Alternative System Configurations (SSASC) simulation algorithm, which provides a methodology to exploit the structural/stochastic similarity among the alternative design configurations in an efficient...
We present an efficient two-level simulation procedure which uses stochastic kriging, a metamodeling technique, to estimate expected shortfall, a portfolio risk measure. The outer level simulates financial scenarios and the inner level of simulation estimates the portfolio value given a scenario. Spatial metamodeling enables inference about portfolio values in a scenario based on inner-level simulation...
This paper, beginning with studying the characteristics of the war from a complex system, in accordance with discrete events system modeling and simulation, respectively, from the basic discrete event system specification, as well as the architecture of the models and simulation engine two aspects, researched on modeling method based on DEVS war simulation models of complex systems architecture. Contribute...
Distributed traffic information systems apply inter-vehicular ad hoc communication to disseminate road traffic information. The high amount of traffic information carried and flooded along the road network leads to superfluous forwarding, which is usually reduced by using rate- or spatial- adaptivity in the dissemination mechanisms. However, in certain cases due to the lack of context-aware information,...
This paper considers field programmable gate array (FPGA) implementations for blind adaptive decision feedback equalizer (DFE) based on the IP core reported. The design can achieve channel equalization for 16-QAM and 64-QAM. Constant modulus algorithm (CMA) and multi-modulus algorithm (MMA) are considered for update the coefficients in the blind mode of operation which are followed by decision-directed...
Traditional queueing research has concentrated mainly on design, performance and running of the service facility with customers arriving following a stochastic process. In this paper we develop a behavioral model of a queueing system including repeat (returning) customers using a combination of cellular automata models (CA) and genetic algorithms (GA). An agent based evolutionary approach using simulation...
This paper examined the social network construction mode based on connected network component under dynamic alliance environment. We assume that firms in one industry participant in alliances dynamically and simulation results show how the alliance network factors influence the social network information sharing performance. Four propositions in a long-term and no extreme value context are built:...
A recent paper studied the statistical behavior of an affine combination of two LMS adaptive filters that simultaneously adapt on the same inputs. The filter outputs are linearly combined to yield a performance that is better than that of either filter. Various decision rules can be used to determine the time-varying combining parameter ??(n). A scheme based on the ratio of error powers of the two...
A speed estimation method is presented in this paper for a grid connected doubly-fed slip-ring induction motor drive. The proposed method is formulated with reactive power based model reference adaptive system (MRAS). The method does not require any estimation of flux and is also independent of stator and rotor resistance variation. Extensive simulation results are presented to validate the technique...
Adopted by the method of evolutionary simulation game basing on ensemble module of Complex Multi-Agent System, the article builds a module of evolutionary simulation game-EGM. By making use of Swarm simulation software, we describe and define the module. We apply EGM to different symmetric game models and come out the result. It reveals that the initial probability of selection strategies and Gains...
Study of complex socioeconomic systems, such as policy response system, requires a sophisticated approach for modeling and simulation. Multi-agent system can be an effective tool to reason individual and group behaviors. The paper analyzes the socioeconomic environmental policy system with the compensation policy strategy. Using the Swarm-an agent based platform, a model is built to simulate the group...
The purpose of this paper is to present a new approach of model reference adaptive controller for distributed power supply using a power turbine generator (PTG) with an accurate model on shipboard that is employed by an identification method on the basis of an overall system model. The proposed controller is evaluated by comparing the conventional controller. As a result, the limit speed overshooting...
An adaptive model tracking controller is designed which can be applied to AC servo systems in Numerical Control(NC) machine to improve machining accuracy. The influences of parameter variation and external disturbances can be compensated by the controller based on model reference adaptive control. Simulation results show that, compared with conventional systems, systems with the designed controller...
The aim of this paper is to review the available simulators defining in a first step the necessary requirements to cope with the multi-vehicles cooperation context. In order to get a complete overview of these tools, a new classification is proposed and is used to sort the existing simulators. It is worth to be noted that we focus our interest on simulators which can at least address the problem of...
The traditional algorithms applied in bearings-only target tracking have some shortages or disadvantages such as biased, slow convergence or divergence. The UKF algorithm improves the linearization error of system, but it doesn't amend the robustness of system obviously. In this paper, a new AFMUKF (adaptive fading memory UKF) algorithm is proposed. The AFMUKF algorithm improves the robustness by...
On the basis of the deficiencies of traditional immune genetic algorithm (IGA) in optimizing noise from tire thread, this thesis presents a new adaptive immune genetic algorithm (AIGA), which improves the genetic operator, provides adaptive crossover operator, mutation operator and reverse order operator, guarantees diversity of population, prevents precocity and promotes the ability of global search...
This paper proposes a novel piecewise uniform scalar quantizer model built on the bases of the Jayant's quantizer model. The novel model utilizes the Jayant's manner of maximum amplitude adaptation, which means according to the one word memory and with the use of the backward adaptive technique. Particularly, the proposed model is equal to the Jayant's quantizer model when the step size multiplier,...
Forest fires spread freely in the open system, restricted by weather, combustible materials, terrain and many other factors, the combustion process with strong uncertainty and unpredictability is complex and volatile. Complex adaptive systems theory provides a method to realize modeling and simulation of forest fire. In this paper, based on the current development of forest fire extinguishing simulation,...
Since the stopped buses at bus station, there occurs the potential effect of capacity of adjacent lane. With the combination of the related results of traffic flow theory and queuing theory, the qualitative and quantitative analysis were worked out separately. Based on the effect time of bus stop on capacity of adjacent lane, the effect time model of bus station was established and then two capacity...
Neural Network-adaptive Control Algorithm is pointed out according to the non-linear characteristic for the semi-active suspension of automobiles and at the same time the recognition device and controller have been designed.The results of the simulation research on the 1/4 variable rigidity air suspension show that neural network self- adaptive controlled semi-active air suspension has an apparent...
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