• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.474-479
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• 2004

This paper describes a feedback-based congestion control algorithm to improve TCP performance over wireless network. In this paper, we adjust the packet marking probability at the router for Max-Min fair sharing of the bandwidth and full utilization of the link. Using the successive ECN (Explicit Congestion Notification), the proposed algorithm regulates the window size to avoid the congestion and sees the packet loss only due to the wireless link error. Based on the asymptotic analysis, it is shown that the proposed algorithm guarantees the QoS of the wireless TCP. The effectiveness of the proposed algorithm is demonstrated by simulations.

• Korean System Dynamics Review
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• v.8 no.1
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• pp.151-171
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• 2007

Without exception, diverse LULU(Locally Unwanted Land Use) facilities have been under the location conflict, especially between the public government units and local residents. In spite of repeated trials-and-errors, literally, the location conflict has shown no sign of improvement over time in Korea. As practical means to tackle these issues, this study focuses on divulging explicit and implicit relationships among key factors derived from the location conflict on the LULU facilities. Here, major research variables cover residents' agreement, residents' perception, compensation expectation, and public opinion. As the location conflict on the LULU facilities could be strengthened or resolved by the dynamic feedback system, it applies basic tools geared toward causal loop diagramming. After repeated experiments, the study highlights the fact that the residents' perception, compensation expectation, and public opinion, individually and collectively, exert significant impact on the residents' agreement ratio.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.6
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• pp.971-981
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• 1994

In this paper, we consider feedback-linearizing control of VR (Variable Reluctance) motors which have been increasingly used in high performance direct-drive applications. We characterize all torque controllers that can make the generated torque of a VR motor linear to torque command but without torque ripple. The torque controlles maximize the range of torque commands which are admissible under the physical limitation in stator currents. The whole class of all such torque controllers is parameterized in the explicit form which contains a function to be chosen freely. This free function can be used to achieve other control objectives as well as linear dynamic characteristics. As the examples for optimal choices of the free function, we actually determine two optimal free functions, one for minimal rate of change in current commands and the other for minimal power loss due to stator resistance. To illuminate further the practical use of torque controllers proposed in this paper, we present some experimental results for the case of a commercially available VR motor.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.569-572
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• 1996

Explicit state-space formulate for an H$_{.inf}$ based two-degrees-of-freedom robust controller are derived in discrete-time. The controller provides robust stability against coprime factor uncertainty, and a degree of robust performance in the sense of making the closed-loop system match a prespecified reference model. It is shown that the controller consists of a plant observer, the chosen reference model, and a generalized state feedback law associated with the plant and model states. The controller structure is shown to be relatively simple and thus may reduce the computational load on the digital control processor.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.57.1-57
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• 2001

The objectives of congestion control in ATM (Asynchronous Transfer Mode) networks are maximum utilization of network resources, acceptable level of low cell loss and fairness among all VCs (Virtual Connections). In this paper, we present a congestion control algorithm which is based on state space model, The proposed controller uses optimal control algorithms (LQR, Mixed-LQR), where control parameters can be designed to ensure the stability of the control loop in a control theoretic sense, over the propagation delay. We show how the control mechanism can be used to design a controller to support ABR service based on feedback of explicit rates. Simulation results are presented to substantiate our claim.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.229-234
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• 1992

This paper presents a compensator design method for multivariable feedback control systems with saturating actuators based on the concept of the equilibrium point. Am explicit expression for the compensation matrix of the general anti-reset windup(ARW) scheme is derived by minimizing the distances between the equilibrium points. The resulting dynamics of the compensated controller exhibits the reduced model form of the unsaturated system which can be obtained by the singular perturbational method. The proposed method is applicable to any open-loop stable plants with saturating actuators whose controllers are determined by some design technique. An example is given to show the effectiveness of the proposed method.

• International journal of advanced smart convergence
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• v.7 no.3
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• pp.15-22
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• 2018

Nowadays multiple control methods are used in robot control systems. A model, predictor or error estimator is often used as feedback controller to control a robot. While robots have become more and more intensive with algorithms capable to acquiring independent knowledge from raw data. This paper represents experimental results of real time machine learning control that does not require explicit knowledge about the plant. The controller can be applied on a broad range of tasks with different dynamic characteristics. We tested our controller on the balancing problem of a single propeller pendulum. Experimental results show that the use of a supervised machine learning algorithm in a single propeller pendulum allows the stable swing of a given angle.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.6
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• pp.359-365
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• 2005

This paper presents an reduced-order near-optimal controller for the congestion control of Available Bit Rate (ABR) service in Asynchronous Transfer Mode (ATM) networks. We introduce the model, of a class of ABR traffic, that can be controlled using a Explicit Rate feedback for congestion control in ATM networks. Since there are great computational complexities in the class of optimal control problem for the ABR model, the near-optimal controller via reduced-order technique is applied to this model. It is implemented by the help of weakly coupling and singular perturbation theory, and we use bilinear transformation because of its computational convenience. Since the bilinear transformation can convert discrete Riccati equation into continuous Riccati equation, the design problems of optimal congestion control can be reduced. Using weakly coupling and singular perturbation theory, the computation time of Riccati equations can be saved, moreover the real-time congestion control for ATM networks can be possible.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2134-2136
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• 2003

ATM 네트워크 중에서 ABR 서비스만이 피드백(feedback) 메커니즘이 가능하며, 이를 이용한 체증제어(congestion control)연구가 다양한 방법으로 진행되고 있다. 본 연구에서는 현대 제어기법을 이용한 ABR 서비스의 체증제어 문제에 관심을 가지고, ABR 서비스 트래픽의 체증을 억제하고 체증 발생시 제어함으로써 최대의 QoS(Quality of Service)를 보장하도록 한다. 문제해결을 위해 제어 이론을 기반으로 한 ABR Explicit Rate 알고리즘을 이용하며, 불확실한 외란에 대해서도 강인하고 안정된 성능을 보이는 시스템 모델을 연구한다. 그리고 이 시스템에 대한 $H_{\infty}$ 제어기를 설계하고 시뮬레이션을 통하여 설계한 제어기의 타당성을 보인다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.6 no.3
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• pp.71-86
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• 1996

In this paper we propose an explicit rate allocation algorithm for ATM(Asynchronous Transfer Mode) Networks using the available bit rate(ABR) class of service and study the performance of this algorithm. We examine the behavior of ABR traffic with the suggested algorithm, and demonstrate that the algorithm is fair and maintains network efficiency with low cell loss rate. The simulation results show substantial improvements in fairness and efficiency over the existing algorithms.