Passivity-based analysis of sampled and quantized control implementations

被引：4
|
作者：
Xu, Xiangru [1 ]
Ozay, Necmiye [2 ]
Gupta, Vijay [3 ]
机构：
[1] Univ Wisconsin, Dept Mech Engn, Madison, WI 53706 USA
[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[3] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA
来源：
AUTOMATICA | 2020年 / 119卷
关键词：
Dissipativity; Passivity indices; Quantized control; Approximate bisimulation; Symbolic control; TO-STATE STABILITY; SYSTEMS; STABILIZATION; DISCRETE; DISSIPATIVITY; FRAMEWORK;
D O I：
10.1016/j.automatica.2020.109064
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies the performance of a continuous controller when implemented on digital devices via sampling and quantization, by leveraging passivity analysis. Degradation of passivity indices from a continuous-time control system to its sampled, input and output quantized model is studied using a notion of quasi-passivity. Based on that, the passivity property of a feedback-connected system where the continuous controller is replaced by its sampled and quantized model is studied, and conditions that ensure the state boundedness of the interconnected system are provided. Additionally, the approximate bisimulation-based control implementation where the controller is replaced by its approximate bisimilar symbolic model whose states are also quantized is analyzed. Several examples are provided to illustrate the theoretical results. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数：14
相关论文
共 50 条
  • [31] Control Barrier Functions for Singularity Avoidance in Passivity-Based Manipulator Control
    Kurtz, Vince
    Wensing, Patrick M.
    Lin, Hai
    2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 6125 - 6130
  • [32] Passivity-based Input Observer
    Zhao, Zixi
    Ydstie, B. Erik
    IFAC PAPERSONLINE, 2018, 51 (18): : 821 - 826
  • [33] Passivity-based control of nonlinear active dynamic vibration absorber
    Hao, Sheng
    Yamashita, Yuh
    Kobayashi, Koichi
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (05) : 3247 - 3266
  • [34] Passivity-based nonlinear control of CSTR via asymptotic observers
    Ha Hoang, N.
    Couenne, F.
    Le Gorrec, Y.
    Chen, C. L.
    Ydstie, B. Erik
    ANNUAL REVIEWS IN CONTROL, 2013, 37 (02) : 278 - 288
  • [35] Passivity-based tracking control of robot manipulators with torque constraints
    Penaloza-Mejia, O.
    Ojeda-Perez, C. P.
    Estrada-Garcia, H. J.
    2016 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2016, : 947 - 952
  • [36] Passivity-based Control of A Class of Markovian Jump Delayed Systems
    Wang Jing
    Shen Hao
    Yao Fengqi
    PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 2117 - 2121
  • [37] Passivity-Based Robust Stability Control of Heterogeneous DGs in Microgrid
    Yuan, Wenkai
    Chen, Laijun
    Deng, Sicheng
    Mei, Shengwei
    2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 1445 - 1450
  • [38] Passivity-based control laws for an unmanned powered parachute aircraft
    Garcia-Beltran, C. D.
    Miranda-Araujo, E. M.
    Guerrero-Sanchez, M. E.
    Valencia-Palomo, G.
    Hernandez-Gonzalez, O.
    Gomez-Penate, S.
    ASIAN JOURNAL OF CONTROL, 2021, 23 (05) : 2087 - 2096
  • [39] Robust Combined Adaptive Passivity-Based Control for Induction Motors
    Travieso-Torres, Juan Carlos
    Ricaldi-Morales, Abdiel Josadac
    Aguila-Camacho, Norelys
    MACHINES, 2024, 12 (04)
  • [40] Passivity-based tracking control for a class of nonlinear switched systems
    Zhang, Jing
    Dong, Xiaoxiao
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 154 - 157
12345