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Spike-compensated Low-Voltage Unity-Gain-Reset Switched-Capacitor Cyclic Digital-to-Analog Converter
Kenji OHNO,HirokiMATSUMOTO,Kenji MURAO 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
As the chip integration advances toward the CMOS VLSI integrated systems, on-chip Digital-to-Analog Converter (DAC) becomes more important building blocks. Key technologies in DAC is fabrication at low-cost and operation on high-performance. Highresolution and Low-Voltage DAC is required in many fields. Their advantage extends to mixed-signal systems where both frequency higher, the device shrinks into deep sub-micrometer. However the shrinking device dimensions also imply proportional scalling of power supply voltage. Advantages of Alogorithmic DAC using Switched-Capacitor (SC) are suitable to the above requirement. SC are small chip area, low consumption of electoric power, and compatibility to MOS IC. To operate under low supply voltage, terminal of NMOS analog switch should connect to ground or virtual ground. However, major performance of conventional algolithmic DAC is limited by offset voltage and spike. In this paper, it shows a Low-Voltage SC cyclic DAC. It is proposed which consists of a switch, capacitor, MOSFET and op-amp. Circuit operation is evaluated on SIMetrix.
Kenji OHNO,Hiroki MATSUMOTO,Kenji MURAO 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
As the chip integration advances toward the CMOS VLSI integrated systems, on-chip Digital-to-Analog Converter (DAC) becomes more important building blocks. Key technologies in DAC is fabrication at low-cost and operation on high-performance. Highresolution and Low-Voltage DAC is required in many fields. Their advantage extends to mixed-signal systems where both frequency higher, the device shrinks into deep sub-micrometer. However the shrinking device dimensions also imply proportional scalling of power supply voltage. Advantages of alogorithmic DAC using Switched-Capacitor (SC) are suitable to the above requirement. SC operates on small chip area, low consumption of electoric power, and is compatible to MOS IC. To operate under low supply voltage, terminal of NMOS analog switch should connect to ground or virtual ground.[1] However, major performance of conventional algolithmic DAC is limited by offset voltage and spike.[2] In this paper, they shows two Low-Voltage SC cyclic DACs. They are proposed which consists of a switch, capacitor, MOSFET and operational amplifier (op-amp). Circuit operation is evaluated on SIMetrix.
Kenji Kikuchi,Soo-yeon Seo,Kang-su Kim,Kyeong-tae Kim,Masayuki Kuroki 한국산업정보학회 2014 한국산업정보학회 학술대회논문집 Vol.2014 No.1
Recently a hollowed precast concrete (HPC) column system has been developed for construction of building in order to improve constructability and economy during the construction. The HPC column supports beams during construction so that local compression acts on the column. At that time, the stress distribution from the beams to the column varies if hollow size varies. After the hollow is filled with grout concrete, the column has two layers, outer and inner elements with different compressive strength each other. Therefore, hollow size affects axial capacity of column after filling the hollow. Based on the above background, this paper performed a finite element (FE) analysis with parameter of hollow size to find the stress distribution of hollowed PC column during construction as well as after construction. As an analysis result, the wider the hollow size is, the less local compress strength is during construction. Also, the axial compressive resistance of column decreased when the hollow size is wider.
Kenji Sugimoto,Lorlynn Asuncion Mateo 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper proposes a new scheme of on-line identification for feedforward (FF) learning control of an unknown nonlinear multi-input multi-output (MIMO) plant free of zero dynamics. This is achieved by constructing a FF controller consisting of a bank of linear approximation models for various operating points, which are discretized and called scheduler. Conventional schemes used piecewise constant/linear interpolation techniques to address the discretization. However, the accuracy of response shaping was insufficient. To improve the performance, we propose to take a basis function approach to tune the parameter of the FF controller. To verify the effectiveness of the proposed scheme, numerical simulation is carried out using the motion equation of a two-link manipulator.
An Action-Selection Strategy Insensitive to Parameter-Settings in Reinforcement Learning
Kenji Ono,Kazunori Iwata,Akira Hayashi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Markov decision processes are one of the most popular frameworks for reinforcement learning. The entropy of probability density functions of Markv decision processes is referred to as the stochastic complexity. The stochastic complexity is helpful for tuning the parameters of an action-selection strategy to alleviate the exploration-exploitation dilemma. In this paper, we improve an action-selection strategy to make it insensitive to parameter-settings by using the stochastic complexity. This gives better policies for alleviating the above dilemma in most parameter-settings.
Interpolated Regression for On-line Local Modeling in Feedforward Learning Control
Kenji Sugimoto,Fuyuki Ito 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
This paper proposes a technique of on-line modeling for feedforward (FF) learning control. For an unknown nonlinear multi-input multi-output (MIMO) plant which is free of zero dynamics, we construct a bank of filters each of which corresponds to a local model of inverse dynamics. In real time we select one such filter corresponding to the current operating point (called scheduler) and accumulate input-output (i/o) data to the filter while we derive FF control signal via regression from the accumulated data. The number of filters is finite but the plant operates continuously, hence we need to discretize the scheduler for classification. In a conventional scheme, however, we have merely truncated the value and resulted in a large approximation error. This paper proposes yet another scheme that uses an interpolation technique for regression in local modeling, thereby improving accuracy of response shaping. Numerical simulation is carried out to verify effectiveness of the proposed scheme.