• Title/Summary/Keyword: Suboptimal

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Active Vibration Control of Structure Using LMI Optimization Design of Robust Saturation Controller (강인 포화 제어기의 LMI 최적 설계를 이용한 구조물의 능동 진동 제어)

  • Park, Young-Jin;Moon, Seok-Jun;Lim, Chae-Wook
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.3 s.108
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    • pp.298-306
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    • 2006
  • In our previous paper, we developed a robust saturation controller for the linear time-invariant (LTI) system involving both actuator's saturation and structured real parameter uncertainties. This controller can only guarantee the closed-loop robust stability of the system in the presence of actuator's saturation. But we cannot analytically make any comment on control performance of this controller. In this paper, we suggest a method to use linear matrix inequality (LMI) optimization problem which can analytically explain control performance of this robust saturation controller only in nominal system. The availability of design method using LMI optimization problem for this robust saturation controller is verified through a numerical example for the building with an active mass damper (AMD) system.

An Efficient Algorithm based on Self-Organizing Feature Maps for Large Scale Traveling Salesman Problems (대규모 TSP과제를 효과적으로 해결할 수 있는 SOFM알고리듬)

  • 김선종;최흥문
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.8
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    • pp.64-70
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    • 1993
  • This paper presents an efficient SOFM(self-organizing feature map) algorithm for the solution of the large scale TSPs(traveling salesman problems). Because no additional winner neuron for each city is created in the next competition, the proposed algorithm requires just only the N output neurons and 2N connections, which are fixed during the whole process, for N-city TSP, and it does not requires any extra algorithm of creation of deletion of the neurons. And due to direct exploitation of the output potential in adaptively controlling the neighborhood, the proposed algorithm can obtain higher convergence rate to the suboptimal solutions. Simulation results show about 30% faster convergence and better solution than the conventional algorithm for solving the 30-city TSP and even for the large scale of 1000-city TSPs.

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Design and Implementation of Rule-based Mask Layout Transformation System (규칙에 기초한 마스크 레이아웃 변환 시스템의 설계 및 구현)

  • 이재황;전주식
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.30A no.9
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    • pp.46-58
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    • 1993
  • Owing to the nature of locality in mask layouts, it appears that most mask layout problems can be solved by transforming a part of the given mask layout into a better layout segment continuously toward a global suboptimal solution. This notion of local transformation addresses major weak points of existing mask layout processing systems, which lack both extensibility and unifiability. This paper attempts to elaborate upon developing a new rule-based mask layout transformation system wherein most of the mask layout problems can be solved under the unified framework of local mask layout transformation. The rule-based mask layout transformation system is applicable to various mask layout problems such as net extraction, mask layout compaction, mask layout editing, and design rule checking. The experimental results show that the rule-based expert system approach is an efficient means of solving those mask layout problems, and thus confronting major drawbacks of existing layout processing systems.

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Realization of TDoA based Position Tracking Algorithm using Adaptive Fading Kalman Filter (적응형 칼만 필터를 이용한 TDoA 기반 정밀 위치 추정 알고리즘 구현)

  • Sung, Wook-Jin;Choi, Seoung-Ok;You, Kwan-Ho
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1757-1758
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    • 2008
  • Extended Kalman Filter(EKF) is widely used in tracking position of nonlinear system. but there exists a divergence problem caused by approximation of nonlinear system's linearization. Adaptive fading Kalman filter (AFKF) is one of the effective methods which employs suboptimal fading factors to solve the divergence problem in an EKF In this paper we present an improved TDoA (time difference of arrival) based position tracking by using AFKF.

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Neural Robust Control for Perturbed Crane Systems

  • Cho Hyun-Cheol;Fadali M.Sami;Lee Young-Jin;Lee Kwon-Soon
    • Journal of Mechanical Science and Technology
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    • v.20 no.5
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    • pp.591-601
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    • 2006
  • In this paper, we present a new control methodology for perturbed crane systems. Nonlinear crane systems are transformed to linear models by feedback linearization. An inverse dynamic equation is applied to compute the system PD control force. The PD control parameters are selected based on a nominal model and are therefore suboptimal for a perturbed system. To achieve the desired performance despite model perturbations, we construct a neural network auxiliary controller to compensate for modeling errors and disturbances. The overall control input is the sum of the nominal PD control and the neural auxiliary control. The neural network is iteratively trained with a perturbed system until acceptable performance is attained. We apply the proposed control scheme to 2- and 3-degree-of-freedom (D.O.F.) crane systems, with known bounds on the payload mass. The effectiveness of the control approach is numerically demonstrated through computer simulation experiments.

Resource Allocation for Device-to-Device Communications Reusing Uplink in Cellular Networks

  • Radwan, Amr
    • Journal of Korea Multimedia Society
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    • v.18 no.12
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    • pp.1468-1474
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    • 2015
  • Efficient spectrum sharing is an important issue in Device-to-Device (D2D) communications underlaying cellular networks as it can mitigate the interference to cellular users and improve the performance of the systems. In this paper, we formulate the radio resource allocation in D2D communications as a mixed nonlinear integer programing. We show the formulated problem is NP-hard and thus a polynomial time algorithm to solve is not possible. Since such a problem is very hard to obtain the optimal solution within a short running time, we instead propose a fast heuristic suboptimal algorithm to mitigate the interference caused to cellular users and improve the performance of the systems. Simulation results are provided to evaluate the performance of the proposed algorithm.

Improving Adherence to Growth Hormone (GH) Therapy via EasypodTM May Help Maximize the Treatment Outcome

  • Choi, Hae-Jeong
    • Journal of mucopolysaccharidosis and rare diseases
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    • v.1 no.1
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    • pp.19-22
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    • 2015
  • In Growth Hormone (GH) therapy, suboptimal adherence is a common problem, reaching up to 82%, and there is a need for interventions to improve adherence and to maximize patients' growth potential eventually. Current studies have demonstrated the association between the rate of non-adherence and reduced height velocity. In order to maximize patients' potential to grow, an auto-injecting/recording device, such as $easypod^{TM}$, may help improve adherence and optimize the treatment effects of GH therapy. The use of $easypod^{TM}$ has contributed to high adherence rates: 87.5% and 93% in Bozzola et al.'s study and the $Easypod^{TM}$ Connect Observational study (ECOS), respectively. Improvement of adherence by $easypod^{TM}$ may lead to higher growth rates of patients receiving GH therapy. Additionally, patients' positive acceptability of $easypod^{TM}$ suggests $easypod^{TM}$ is a preferred device by patients for better adherence.

Distributed Mobility Management Strategy with Pointer Forwarding Technique

  • Wie, Sunghong;Jang, Jaeshin
    • Journal of information and communication convergence engineering
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    • v.13 no.4
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    • pp.248-256
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    • 2015
  • With the dramatic increase in mobile traffic in recent years, some of the limitations of mobility management frameworks have magnified. The current centralized mobility management (CMM) strategy has various problems, such as a suboptimal routing path, low scalability, signaling overhead, and a single point of failure. To overcome these weaknesses in the CMM strategy, the Internet Engineering Task Force has been discussing distributed mobility management (DMM) strategies. The fundamental concept of a DMM strategy is to distribute the mobility anchors closer to the users. While the distribution of mobility anchors results in low-cost traffic delivery, it increases the signaling cost. To reduce this higher signaling cost, we propose a new DMM strategy applying the pointer forwarding technique. The proposed strategy keeps the existing tunnels and extends the traffic path as much as possible. In this paper, we analyze the performance of the pointer forwarding-DMM strategy and discuss its pros and cons.

Gene Expression and Secretion of Human Epidermal Growth Factor in a Methylotrophic Yeast Hansenula polymorpha (메나놀 자화 효모 Hansenula polymorpha를 이용한 재조합 인체 표피 성장인자 유전자의 발현 및 분비)

  • Oh, Yong-Ik;Sohn, Jung-Hoon;Choi, Eui-Sung;Kim, Hee-Chul;Rhee, Sang-Ki
    • Microbiology and Biotechnology Letters
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    • v.22 no.5
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    • pp.477-484
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    • 1994
  • Using a methylotrophic yeast Hansenula polymorpha, a heterologous gene expression and secretion system was developed for the production of hEGF(human Epidermal Growth Factor) which has been shown to promote epithelial cell proliferation and to inhibit gastric acid secretion. The hEGF gene was chemically synthesized according to the preferred codon usage in H. polymor- pha and expressed under the control of the strong and inducible methanol oxidase(MOX) promoter. The mating factor $\alpha$ pre-pro leader sequence of Saccharomyces cerevisiae was employed for hEGF to be secreted into the extracellular medium. This expression cassette was stably integrated into the host chromosomal DNA. Mature hEGF was efficiently expressed and secreted into the extracel- lular medium. About 24 mg/l of hEGF was detected in the cuture supernatant of a transformant with pA-EGF3 under the suboptimal culture conditions.

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A minimum cost sampling inspection plan for destructive testing (破壤檢査詩의 最小費용 샘플링 檢査方式)

  • 趙星九;裵道善
    • Journal of the Korean Statistical Society
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    • v.7 no.1
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    • pp.27-43
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    • 1978
  • This paper deals with the problem of obtaining a minimum cost acceptance sampling plan for destructive testing. The cost model is constructed under the assumption that the sampling procedure takes the following form; 1) lots rejected on the first sample are acreened with a non-destructive testing, 2) the screening is assumed to be imperfect, and therefore, after the screening, a second sample is taken to determine whether to accept the lot of to scrap it. The usual sampling procedures for destructive testing can be regarded as special cases of the above one. Utilizing Hald's Bayesian approach, procedures for finding the global optimal sampling plans are given. However, when the lot size is large, the global plan is very different to obtain even with the aid of an electronic computer. Therefore a method of finding suboptimal plan is suggested. An example with uniform prior is also given.

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