Generating new classes of fixed-time stable systems with predefined upper bound for the settling time

被引:29
|
作者
Aldana-Lopez, Rodrigo [1 ]
Gomez-Gutierrez, David [2 ,3 ]
Jimenez-Rodriguez, Esteban [4 ]
Diego Sanchez-Torres, Juan [4 ]
Defoort, Michael [5 ]
机构
[1] Univ Zaragoza, Dept Comp Sci & Syst Engn, Zaragoza, Spain
[2] Intel Tecnol Mexico, Multiagent Autonomous Syst Lab, Intel Labs, Tlaquepaque, Jalisco, Mexico
[3] Escuela Ingn & Ciencias, Tecnol Monterrey, Tlaquepaque, Jalisco, Mexico
[4] ITESO, Dept Math & Phys, Tlaquepaque, Jalisco, Mexico
[5] UPHF, LAMIH, UMR CNRS 8201, INSA Hauts de France, Valenciennes, France
关键词
Predefined-time systems; fixed-time systems; prescribed-time systems; FINITE-TIME; LINEAR-SYSTEMS; STABILIZATION; STABILITY; CONSENSUS; CONVERGENCE; OBSERVER; DESIGN;
D O I
10.1080/00207179.2021.1936190
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 aims to provide a methodology for generating autonomous and non-autonomous systems with a fixed-time stable equilibrium point where an Upper Bound of the Settling Time (UBST) is set a priori as a parameter of the system. Furthermore, some conditions for such an upper bound to be the least one are provided. This construction procedure is a relevant contribution compared with traditional methodologies for generating fixed-time algorithms satisfying time constraints since current estimates of an UBST may be too conservative. The proposed methodology is based on time-scale transformations and Lyapunov analysis. It allows the presentation of a broad class of fixed-time stable systems with predefined UBST, placing them under a common framework with existing methods using time-varying gains. To illustrate the effectiveness of our approach, we generate novel, autonomous and non-autonomous, fixed-time stable algorithms with predefined least UBST.
引用
收藏
页码:2802 / 2814
页数:13
相关论文
共 50 条
  • [31] Adaptive fixed-time control for Lorenz systems
    Wang, Huanqing
    Yue, Hanxue
    Liu, Siwen
    Li, Tieshan
    NONLINEAR DYNAMICS, 2020, 102 (04) : 2617 - 2625
  • [32] Fixed-time nonsingular adaptive containment control for uncertain nonlinear multi-agent systems with predefined accuracy
    Shan, Huadi
    Xue, Hong
    Jia, Tinghan
    Pan, Yingnan
    Zhao, Meng
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2022, 36 (10) : 2433 - 2452
  • [33] Fixed-Time Stable Gradient Flows: Applications to Continuous-Time Optimization
    Garg, Kunal
    Panagou, Dimitra
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (05) : 2002 - 2015
  • [34] New results on fixed-time synchronization of impulsive neural networks via optimized fixed-time stability
    Abdurahman, Abdujelil
    Tohti, Rukeya
    Li, Cuicui
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2024, 70 (04) : 2809 - 2826
  • [35] Fixed-time stability of positive nonlinear systems
    Zhu, Yunru
    Zheng, Yuanshi
    Liu, Xingwen
    Wang, Huaizhu
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2020, 42 (15) : 2951 - 2955
  • [36] Fixed-time Adaptive Observer for Linear Time-Invariant Systems
    Oliva-Fonseca, Pablo
    Rueda-Escobedo, Juan G.
    Moreno, Jaime A.
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 1267 - 1272
  • [37] Finite-time and fixed-time impulsive synchronization of chaotic systems
    Ao, Wengang
    Ma, Tiedong
    Sanchez, Rene-Vinicio
    Gan, Haitao
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (16): : 11545 - 11557
  • [38] Impulsive fixed-time observer for linear time-delay systems
    Langueh, K.
    Zheng, G.
    Floquet, T.
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (07): : 3354 - 3366
  • [39] On fixed-time stability of a class of nonlinear time-varying systems
    Braidiz, Youness
    Polyakov, Andrey
    Efimov, Denis
    Perruquetti, Wilfrid
    IFAC PAPERSONLINE, 2020, 53 (02): : 6358 - 6363
  • [40] Finite-Time and Fixed-Time Attractiveness for Nonlinear Impulsive Systems
    Hu, Hongxiao
    Gao, Bei
    Xu, Liguang
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (10) : 5586 - 5593