• Title/Summary/Keyword: Dynamical simulation

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Control of Dynamical Systems: An Intelligent Approach

  • Ammar, Soukkou;Khellaf, Abdelhafid;Leulmi, Salah;Grimes, Mourad
    • International Journal of Control, Automation, and Systems
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    • v.6 no.4
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    • pp.583-595
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    • 2008
  • In this paper, we introduce a fuzzy nonlinear feedback approach to the control of a class of chaotic dynamical systems. The fuzzy Parallel Distributed Compensation with Reduced Rule Base approach (PDC_RRB) is proposed. The design procedure is conceptually simple and considered to a nonlinear optimal and robust control problem due to the nonlinear nature of the Takagi-Sugeno (TS) fuzzy system. Simulation results are provided to show the effictiveness of the proposed methodology.

Adaptive control based on nonlinear dynamical system

  • Sugisaka, Masanori;Eguchi, Katsumasa
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.401-405
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    • 1993
  • This paper presents a neuro adaptive control method for nonlinear dynamical systems based on artificial neural network systems. The proposed neuro adaptive controller consists of 3 layers artificial neural network system and parallel PD controller. At the early stage in learning or identification process of the system characteristics the PD controller works mainly in order to compensate for the inadequacy of the learning process and then gradually the neuro contrller begins to work instead of the PD controller after the learning process has proceeded. From the simulation studies the neuro adaptive controller is seen to be robust and works effectively for nonlinear dynamical systems from a practical applicational points of view.

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Development of Micro-Computer Simulation Programs for the Various Vibratory Systems (Micro-Computer를 이용한 진동 시스템 Simulation에 관한 연구)

  • Joo, Hae-Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.1 no.3
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    • pp.52-70
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    • 1984
  • This paper presents a micro-computer simulation package for the various vibratory systems. The Package consists of 10 programs which describe the dynamical characteristics of the vibratory system. The programs have been written in BASIC (Appoesoft) language and programmed on the 6502 CPU with 48 KRAM. This simulation package is stored in 5 $^1/_4$ inch floppy disk. The user requires no simulation expertise on the part of designer. Through a process of disk operation, the user can easily under- stand how to use this package.

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Identification and control of dynamical system including nonlinearities (비선형성이 존재하는 동적 시스템의 식별과 제어)

  • 김규남;조규상;양태진;김경기
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.236-242
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    • 1992
  • Multi-layered neural networks are applied to the identification and control of nonlinear dynamical system. Traditional adaptive control techniques can only deal with linear systems or some special nonlinear systems. A scheme for combining multi-layered neural networks with model reference network techniques has the capability to learn the nonlinearity and shows the great potential for adaptive control. In many interesting cases the system can be described by a nonlinear model in which the control input appears linearly. In this paper the identification of linear and nonlinear part are performed simultaneously. The projection algorithm and the new estimation method which uses the delta rule of neural network are compared throughout the simulation. The simulation results show that the identification and adaptive control schemes suggested are practically feasible and effective.

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A VECTOR CONTROL SIMULATION FOR INDUCTION MOTOR DRIVES USING SIMNON PROGRAM

  • Kim, Min-Huei;Kim, Jong-Moo
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.34-39
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    • 1998
  • This paper describes the simulation approaches employed for a vector control system of induction motor drive using SIMNON for windows program. SIMNON program tool can solve differential and difference equations for nonlinear dynamical control system. One powerful feature is its ability of allowing integration of individual program modules after each individual module is programed and tested independently. This particular feature is exploited here for an SVPWM inverter drive by real-time modeling and simulation. The suggested programs are provided a simple and complete simulation for induction motor vector drive system.

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Causal Analysis of a Tugboat Capsizing Accident in Rough Weather Condition Based on a Dynamical Simulation

  • Yoon, Hyeon-Kyu;Kim, Sun-Young;Lee, Gyeong-Joong
    • International Journal of Ocean System Engineering
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    • v.1 no.4
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    • pp.211-221
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    • 2011
  • Tugboats are widely used near harbors to assist with various operations such as the berthing and deberthing of very large vessels and the towing of barges. Capsizing accidents involving tugboats occasionally take place when the tugboat makes rapid turns in harsh weather conditions. When there is little evidence suggesting how the accident occurred and when the crew members are missing, it is necessary to predict the time history of the towing vessel’s attitude and trajectory from its departure point to when and where it capsized, depending on various input parameters using a numerical simulation. In this paper, the dynamics of a tugboat and a towed barge in conjunction with the external force and moment were established, and the possible input parameters and operational scenarios which might influence the large roll motion of the tugboat were identified. As a result of analyzing the simulated time history of the excessive roll motion of the tugboat, it was found that roll motion can take place when the tugboat is situated on the crest of a wave and when it is pulled by a towed barge through a towing line. The main cause of the accident would be the parameters that primarily influence such situations. These are the wave parameters, course changing scenario, and the amount of tension.

Simulation of Regional Climate over East Asia using Dynamical Downscaling Method

  • Oh, Jai-Ho;Kim, Tae-Kook;Min, Young-Mi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2002.05b
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    • pp.1187-1194
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    • 2002
  • In this study, we have simulated regional climate over East Asia using dynamical downscaling For dynamic downscaling experiments for regional climate simulation, MM5method. with 27 km horizontal resolution and 18 layers of sigma-coordinate in vertical is nested within global-scale NCEP reanalysis data with 2.5。${\times}$2.5。 resolution in longitude and latitude. In regional simulation, January and July, 1979 monthly mean features have been obtained by both continuous integration and daily restart integration driven by updating the lateral boundary forcing at 6-hr intervals from the NCEP reanalysis data using a nudging scheme with the updating design of initial and boundary conditions in both continuous and restart integrations. In result, we may successfully generated regional detail features which might be forced by topography, lake, coastlines and land use distribution from a regional climate. There is no significant difference in monthly mean features either integrate continuously or integrate with daily restart. For climatologically long integration, the initial condition may not be significantly important. Accordingly, MM5 can be integrated for a long period without restart frequently, if a proper lateral boundary forcing is given.

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Dynamical Analysis of Cellular Signal Transduction Pathways with Nonlinear Systems Perspectives (비선형시스템 관점으로부터 세포 신호전달경로의 동역학 분석)

  • Kim Hyun-Woo;Cho Kwang-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.12
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    • pp.1155-1163
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    • 2004
  • Extracellular signal-regulated kinase (ERK) signaling pathway is one of the mitogen-activated protein kinase (MAPK) signal transduction pathways. This pathway is known as pivotal in many signaling networks that govern proliferation, differentiation and cell survival. The ERK signaling pathway comprises positive and negative feedback loops, depending on whether the terminal kinase stimulates or inhibits the activation of the initial level. In this paper, we attempt to model the ERK pathway by considering both of the positive and negative feedback mechanisms based on Michaelis-Menten kinetics. In addition, we propose a fraction ratio model based on the mass action law. We first develop a mathematical model of the ERK pathway with fraction ratios. Secondly, we analyze the dynamical properties of the fraction ratio model based on simulation studies. Furthermore, we propose a concept of an inhibitor, catalyst, and substrate (ICS) controller which regulates the inhibitor, catalyst, and substrate concentrations of the ERK signal transduction pathway. The ICS controller can be designed through dynamical analysis of the ERK signaling transduction pathway within limited concentration ranges.

Identifying potential mergers of globular clusters: a machine-learning approach

  • Pasquato, Mario
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.2
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    • pp.89-89
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    • 2014
  • While the current consensus view holds that galaxy mergers are commonplace, it is sometimes speculated that Globular Clusters (GCs) may also have undergone merging events, possibly resulting in massive objects with a strong metallicity spread such as Omega Centauri. Galaxies are mostly far, unresolved systems whose mergers are most likely wet, resulting in observational as well as modeling difficulties, but GCs are resolved into stars that can be used as discrete dynamical tracers, and their mergers might have been dry, therefore easily simulated with an N-body code. It is however difficult to determine the observational parameters best suited to reveal a history of merging based on the positions and kinematics of GC stars, if evidence of merging is at all observable. To overcome this difficulty, we investigate the applicability of supervised and unsupervised machine learning to the automatic reconstruction of the dynamical history of a stellar system. In particular we test whether statistical clustering methods can classify simulated systems into monolithic versus merger products. We run direct N-body simulations of two identical King-model clusters undergoing a head-on collision resulting in a merged system, and other simulations of isolated King models with the same total number of particles as the merged system. After several relaxation times elapse, we extract a sample of snapshots of the sky-projected positions of particles from each simulation at different dynamical times, and we run a variety of clustering and classification algorithms to classify the snapshots into two subsets in a relevant feature space.

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