Bound on Amplitude of a MEMS Resonator by Approximating the Derivative of the Lyapunov Function in Finite Time

被引:0
|
作者
Naik, Raghavendra D. [1 ]
Mhalsekar, Shridhar D. [1 ]
机构
[1] Goa Coll Engn, Mech Engn Dept, Ponda, Goa, India
关键词
Resonator; Lyapunov; optimization;
D O I
10.1142/S0219455421710036
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
We propose a methodology to obtain the amplitude of a nonlinear differential equation that may not satisfy Lyapunov's global stability criterion. This theory is applied to the MEMS resonator which has a high-quality factor. The derivative of the Lyapunov function approximated for a finite time and an optimization problem was formulated. The local optima were obtained using the Karush-Kuhn-Tucker conditions, for which the amplitude was analytically formulated. The obtained amplitude, when compared with that by the numerical method, showed the validity of the analytical approximation for a useful range of the nonlinearity, but accurate only at an excitation frequency Omega = 0.913. This methodology will be useful to approximate the damping in a system if one obtains the amplitude from the experimental data near this excitation frequency.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Finite-time stability and stabilization of singular state-delay systems using improved estimation of a lower bound on a Lyapunov-like functional
    Stojanovic, S. B.
    Debeljkovic, D. Lj.
    Antic, D. S.
    BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2015, 63 (02) : 479 - 487
  • [42] Lyapunov function design for finite-time convergence analysis of "twisting" and "super-twisting" second order sliding mode controllers
    Polyakov, Andrei
    Poznyak, Alex
    2008 INTERNATIONAL WORKSHOP ON VARIABLE STRUCTURE SYSTEMS, 2008, : 153 - 158
  • [43] Finite-Time Output Feedback Robust Controller Based on Tangent Barrier Lyapunov Function for Restricted State Space for Biped Robot
    Rincon, Karla
    Chairez, Isaac
    Yu, Wen
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (08): : 5042 - 5055
  • [44] Finite-time Control of Two-wheeled Mobile Robot via Generalized Homogeneous Locally Semiconcave Control Lyapunov Function
    Kimura, Shunsuke
    Nakai, Teppei
    Nakamura, Hisakazu
    Ibuki, Tatsuya
    Sampei, Mitsuji
    2016 55TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2016, : 1643 - 1648
  • [45] Application of finite-time control Lyapunov function in low-power PMSG wind energy conversion systems for sensorless MPPT
    Shotorbani, Amin Mohammadpour
    Mohammadi-Ivatloo, Behnam
    Wang, Liwei
    Marzband, Mousa
    Sabahi, Mehran
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 106 : 169 - 182
  • [46] Barrier Lyapunov Function-Based Finite-Time Dynamic Surface Control for Output-Constrained Nonstrict-Feedback Systems
    Yu, Jinpeng
    Fu, Cheng
    Liu, Jiapeng
    Ma, Yumei
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2023, 36 (02) : 524 - 539
  • [47] Barrier Lyapunov Function-Based Finite-Time Reliable Trajectory Tracking Control of Fixed-Wing UAV With Error Constraints
    Xu, Yiwei
    Zhou, Ruifeng
    Yu, Ziquan
    Chen, Fuyang
    Zhang, Youmin
    IFAC PAPERSONLINE, 2022, 55 (06): : 597 - 602
  • [48] Finite-Time Attitude Maneuver Control for Liquid-Filled Spacecraft with Attitude and Angular Velocity Constraints Based on Barrier Lyapunov Function
    Zhang, Wei
    Zhang, Xiaowei
    Guo, Yanning
    Lyu, Yueyong
    Zhu, He
    INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2024, 25 (4) : 1494 - 1506
  • [49] Necessary and sufficient conditions for the existence of a common quadratic Lyapunov function for a finite number of stable second order linear time-invariant systems
    Shorten, RN
    Narendra, KS
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2002, 16 (10) : 709 - 728
  • [50] Barrier Lyapunov Function-Based Finite-Time Dynamic Surface Control for Output-Constrained Nonstrict-Feedback Systems
    YU Jinpeng
    FU Cheng
    LIU Jiapeng
    MA Yumei
    Journal of Systems Science & Complexity, 2023, 36 (02) : 524 - 539