The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Shen-iuan Liu - One of the best experts on this subject based on the ideXlab platform.

  • A Bang Bang Phase-Locked Loop Using Automatic Loop Gain Control and Loop Latency Reduction Techniques
    IEEE Journal of Solid-State Circuits, 2016
    Co-Authors: Ting-kuei Kuan, Shen-iuan Liu
    Abstract:

    This paper presents a digital bang–bang phase-locked loop (DBPLL) that employs automatic loop gain control and loop latency reduction techniques to enhance the jitter performance. Due to noise filtering properties, a DBPLL has an optimal loop gain which gives rise to the best jitter performance, taking into account external and internal noise sources. By using the automatic loop gain control technique, the DBPLL can automatically attain this loop gain in background to minimize the jitter. This paper also exploits time-series analysis to analyze the DBPLL. In particular, the closed-form gain of a bang–bang phase detector (BBPD) is first derived, taking into account reference clock noise and oscillator noise simultaneously. The chip was fabricated in a 40 nm CMOS process. This DBPLL achieves $ fs integrated rms jitter and $ dBc reference spurs. It consumes 3.8 mW from a 1.1 V supply while operating at 3.96 GHz. This translates to an figure-of-merit (FOM) of $- 245$ dB.

  • a digital bang bang phase locked loop with automatic loop gain control and loop latency reduction
    Symposium on VLSI Circuits, 2015
    Co-Authors: Ting-kuei Kuan, Shen-iuan Liu
    Abstract:

    This paper presents a digital bang-bang phase-locked loop that employs automatic loop gain control and loop latency reduction techniques to enhance the jitter performance. The chip is fabricated in a 40nm CMOS process. This bang-bang phase-locked loop achieves 290fs rms integrated jitter and reference spurs <-72.89dBc. It consumes 3.8mW from a 1.1V supply while operating at 3.96GHz. This translates to an FOM of −245dB.

Ting-kuei Kuan - One of the best experts on this subject based on the ideXlab platform.

  • A Bang Bang Phase-Locked Loop Using Automatic Loop Gain Control and Loop Latency Reduction Techniques
    IEEE Journal of Solid-State Circuits, 2016
    Co-Authors: Ting-kuei Kuan, Shen-iuan Liu
    Abstract:

    This paper presents a digital bang–bang phase-locked loop (DBPLL) that employs automatic loop gain control and loop latency reduction techniques to enhance the jitter performance. Due to noise filtering properties, a DBPLL has an optimal loop gain which gives rise to the best jitter performance, taking into account external and internal noise sources. By using the automatic loop gain control technique, the DBPLL can automatically attain this loop gain in background to minimize the jitter. This paper also exploits time-series analysis to analyze the DBPLL. In particular, the closed-form gain of a bang–bang phase detector (BBPD) is first derived, taking into account reference clock noise and oscillator noise simultaneously. The chip was fabricated in a 40 nm CMOS process. This DBPLL achieves $ fs integrated rms jitter and $ dBc reference spurs. It consumes 3.8 mW from a 1.1 V supply while operating at 3.96 GHz. This translates to an figure-of-merit (FOM) of $- 245$ dB.

  • a digital bang bang phase locked loop with automatic loop gain control and loop latency reduction
    Symposium on VLSI Circuits, 2015
    Co-Authors: Ting-kuei Kuan, Shen-iuan Liu
    Abstract:

    This paper presents a digital bang-bang phase-locked loop that employs automatic loop gain control and loop latency reduction techniques to enhance the jitter performance. The chip is fabricated in a 40nm CMOS process. This bang-bang phase-locked loop achieves 290fs rms integrated jitter and reference spurs <-72.89dBc. It consumes 3.8mW from a 1.1V supply while operating at 3.96GHz. This translates to an FOM of −245dB.

Xu Zhang - One of the best experts on this subject based on the ideXlab platform.

  • nonlinear robust adaptive tracking control of a quadrotor uav via immersion and invariance methodology
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Bo Zhao, Bin Xian, Yao Zhang, Xu Zhang
    Abstract:

    This paper presents a novel asymptotic tracking controller for an underactuated quadrotor unmanned aerial vehicle using the robust integral of the signum of the error (RISE) method and an immersion and invariance (I&I)-based adaptive control methodology. The control system is decoupled into two parts: the inner loop for attitude control and the outer loop for position control. The RISE approach is applied in the inner loop for disturbance rejection, whereas the I&I approach is chosen for the outer loop to compensate for the parametric uncertainties. The asymptotic tracking of the time-varying 3-D position and the yaw motion reference trajectories is proven via the Lyapunov-based stability analysis and LaSalle's invariance theorem. Real-time experiment results, which are performed on a hardware-in-the-loop simulation testbed, are presented to illustrate the performance of the proposed control scheme.

  • nonlinear robust adaptive tracking control of a quadrotor uav via immersion and invariance methodology
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Bo Zhao, Bin Xian, Yao Zhang, Xu Zhang
    Abstract:

    This paper presents a novel asymptotic tracking controller for an underactuated quadrotor unmanned aerial vehicle using the robust integral of the signum of the error (RISE) method and an immersion and invariance (I&I)-based adaptive control methodology. The control system is decoupled into two parts: the inner loop for attitude control and the outer loop for position control. The RISE approach is applied in the inner loop for disturbance rejection, whereas the I&I approach is chosen for the outer loop to compensate for the parametric uncertainties. The asymptotic tracking of the time-varying 3-D position and the yaw motion reference trajectories is proven via the Lyapunov-based stability analysis and LaSalle's invariance theorem. Real-time experiment results, which are performed on a hardware-in-the-loop simulation testbed, are presented to illustrate the performance of the proposed control scheme.

Brad Lehman - One of the best experts on this subject based on the ideXlab platform.

Bo Zhao - One of the best experts on this subject based on the ideXlab platform.

  • nonlinear robust adaptive tracking control of a quadrotor uav via immersion and invariance methodology
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Bo Zhao, Bin Xian, Yao Zhang, Xu Zhang
    Abstract:

    This paper presents a novel asymptotic tracking controller for an underactuated quadrotor unmanned aerial vehicle using the robust integral of the signum of the error (RISE) method and an immersion and invariance (I&I)-based adaptive control methodology. The control system is decoupled into two parts: the inner loop for attitude control and the outer loop for position control. The RISE approach is applied in the inner loop for disturbance rejection, whereas the I&I approach is chosen for the outer loop to compensate for the parametric uncertainties. The asymptotic tracking of the time-varying 3-D position and the yaw motion reference trajectories is proven via the Lyapunov-based stability analysis and LaSalle's invariance theorem. Real-time experiment results, which are performed on a hardware-in-the-loop simulation testbed, are presented to illustrate the performance of the proposed control scheme.

  • nonlinear robust adaptive tracking control of a quadrotor uav via immersion and invariance methodology
    IEEE Transactions on Industrial Electronics, 2015
    Co-Authors: Bo Zhao, Bin Xian, Yao Zhang, Xu Zhang
    Abstract:

    This paper presents a novel asymptotic tracking controller for an underactuated quadrotor unmanned aerial vehicle using the robust integral of the signum of the error (RISE) method and an immersion and invariance (I&I)-based adaptive control methodology. The control system is decoupled into two parts: the inner loop for attitude control and the outer loop for position control. The RISE approach is applied in the inner loop for disturbance rejection, whereas the I&I approach is chosen for the outer loop to compensate for the parametric uncertainties. The asymptotic tracking of the time-varying 3-D position and the yaw motion reference trajectories is proven via the Lyapunov-based stability analysis and LaSalle's invariance theorem. Real-time experiment results, which are performed on a hardware-in-the-loop simulation testbed, are presented to illustrate the performance of the proposed control scheme.