The Experts below are selected from a list of 383355 Experts worldwide ranked by ideXlab platform

Miroslav Krstic - One of the best experts on this subject based on the ideXlab platform.

  • a single forward velocity Control Signal for stochastic source seeking with multiple nonholonomic vehicles
    Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 2014
    Co-Authors: Paul Frihauf, Miroslav Krstic
    Abstract:

    With a single stochastic extremum seeking Control Signal, we steer multiple autonomous vehicles, modeled as nonholonomic unicycles, toward the maximum of an unknown, spatially distributed Signal field. The vehicles, whose angular velocities are constant and distinct, travel at the same forward velocity, which is Controlled by the stochastic extremum seeking Controller. To determine the vehicles’ velocity, the Controller uses measurements of the Signal field at the respective vehicle positions and excitation based on filtered white noise. The positions of the vehicles are not measured. We prove local exponential convergence, both almost surely and in probability, to a small neighborhood near the source and provide a numerical example to illustrate the effectiveness of the algorithm. [DOI: 10.1115/1.4027577]

  • stochastic source seeking with multiple nonholonomic vehicles via a single forward velocity Control Signal
    ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference, 2012
    Co-Authors: Paul Frihauf, Miroslav Krstic
    Abstract:

    With a single stochastic extremum seeking Control Signal, we steer multiple autonomous vehicles, modeled as nonholonomic unicycles, toward the maximum of an unknown, spatially distributed Signal field. The vehicles, whose angular velocities are constant and distinct, travel at the same forward velocity, which is Controlled by the stochastic extremum seeking Controller. To determine the vehicles’ velocity, the Controller uses measurements of the Signal field at the respective vehicle positions and excitation based on filtered white noise. The positions of the vehicles are not measured. We prove local exponential convergence, both almost surely and in probability, to a small neighborhood near the source and provide a numerical example to illustrate the effectiveness of the algorithm.Copyright © 2012 by ASME

Hideaki Fujita - One of the best experts on this subject based on the ideXlab platform.

  • a resonant gate drive circuit with optically isolated Control Signal and power supply for fast switching and high voltage power semiconductor devices
    IEEE Transactions on Power Electronics, 2013
    Co-Authors: Hideaki Fujita
    Abstract:

    This paper deals with a resonant gate-drive circuit for fast-switching and high-voltage power semiconductor devices, which is equipped with optical fibers for both gate Control Signal and dc power supply. A resonant inductor connected with the gate terminal makes it possible to charge or discharge the gate-to-source voltage by using the parallel resonance between the inductor and the input capacitance of the device. The optical fibers can be used to deliver the driving power to the gate-drive circuit, because the circuit theoretically causes no power consumption for driving the power device. Moreover, the proposed circuit makes it possible to suppress fluctuations in the gate voltage caused by a rapid change in the drain-to-source voltage. Experimental results are shown to verify the viability of the proposed circuit.

H Melchior - One of the best experts on this subject based on the ideXlab platform.

  • all optical mach zehnder interferometer wavelength converters and switches with integrated data and Control Signal separation scheme
    Journal of Lightwave Technology, 1999
    Co-Authors: J Leuthold, P A Besse, E Gamper, M Dulk, St Fischer, G Guekos, H Melchior
    Abstract:

    All-optical Mach-Zehnder interferometer (MZI) wavelength converters and switches with monolithically integrated data- and Control-Signal separation schemes are reported. Two schemes to separate the data from the strong Control Signals are discussed. A first dual-order mode configuration uses modes of different symmetry for the data and Control Signals. A second configuration uses additional MZIs to separate the two Signals. The Control-Signal separation permits to operate the devices with copropagating data and Control Signal without distortion of the Control Signal in the data-Signal output. Copropagative operation allows for shorter switching windows compared to the counterpropagative operation. Further, this concept enables cascading of several devices since the Control Signal is filtered out and does not disturb the Signal processing in a next cascade of devices. The all-optical switches are characterized under static and dynamic 10 GHz conditions.

Paul Frihauf - One of the best experts on this subject based on the ideXlab platform.

  • a single forward velocity Control Signal for stochastic source seeking with multiple nonholonomic vehicles
    Journal of Dynamic Systems Measurement and Control-transactions of The Asme, 2014
    Co-Authors: Paul Frihauf, Miroslav Krstic
    Abstract:

    With a single stochastic extremum seeking Control Signal, we steer multiple autonomous vehicles, modeled as nonholonomic unicycles, toward the maximum of an unknown, spatially distributed Signal field. The vehicles, whose angular velocities are constant and distinct, travel at the same forward velocity, which is Controlled by the stochastic extremum seeking Controller. To determine the vehicles’ velocity, the Controller uses measurements of the Signal field at the respective vehicle positions and excitation based on filtered white noise. The positions of the vehicles are not measured. We prove local exponential convergence, both almost surely and in probability, to a small neighborhood near the source and provide a numerical example to illustrate the effectiveness of the algorithm. [DOI: 10.1115/1.4027577]

  • stochastic source seeking with multiple nonholonomic vehicles via a single forward velocity Control Signal
    ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference, 2012
    Co-Authors: Paul Frihauf, Miroslav Krstic
    Abstract:

    With a single stochastic extremum seeking Control Signal, we steer multiple autonomous vehicles, modeled as nonholonomic unicycles, toward the maximum of an unknown, spatially distributed Signal field. The vehicles, whose angular velocities are constant and distinct, travel at the same forward velocity, which is Controlled by the stochastic extremum seeking Controller. To determine the vehicles’ velocity, the Controller uses measurements of the Signal field at the respective vehicle positions and excitation based on filtered white noise. The positions of the vehicles are not measured. We prove local exponential convergence, both almost surely and in probability, to a small neighborhood near the source and provide a numerical example to illustrate the effectiveness of the algorithm.Copyright © 2012 by ASME

Jinsong Wang - One of the best experts on this subject based on the ideXlab platform.

  • voltage sampling circuit and filament breakage detecting device of automotive steering lamp employing such voltage sampling circuit
    2012
    Co-Authors: Huayong Qiu, Jinsong Wang
    Abstract:

    The invention discloses a voltage sampling circuit, which comprises two paths of sampling circuit units, a voltage dividing resistor and a micro-processing unit, wherein each path of the sampling circuit unit comprises a voltage input end, a voltage output end, a Control Signal input end, a triode amplifying circuit connected between the voltage input end and the voltage output end and a switch circuit connected between the Control Signal input end and the triode amplifying circuit and used for Controlling the triode amplifying circuit; one end of the voltage dividing resistor is connected with the voltage output ends of the two paths of sampling circuit units; and the micro-processing unit comprises a voltage Signal receiving end which is connected to the other end of the voltage dividing resistor, a Control Signal output end which is connected to the Control Signal input ends of the two paths of sampling circuit units and used for Controlling the two paths of sampling circuit units in a time-shared way, and a differential comparing module which is used for differentially comparing voltage Signals acquired by the two paths of sampling circuit units through time-shared sampling. The voltage sampling circuit has the advantages of simple structure and stable performance. The invention further provides a filament breakage detecting device of an automotive steering lamp employing the voltage sampling circuit.