Smc for discrete delayed semi-Markov switching systems

被引:0
|
作者
Shen, Feiyue [1 ]
Qi, Wenhai [1 ]
Park, Ju H. [2 ]
Cheng, Jun [3 ]
Shi, Kaibo [4 ]
机构
[1] Qufu Normal Univ, Rizhao 276826, Peoples R China
[2] Yeungnam Univ, 280 Daehak Ro, Kyongsan 38541, South Korea
[3] Guangxi Normal Univ, Guilin 541006, Peoples R China
[4] Chengdu Univ, Chengdu 610106, Peoples R China
基金
中国国家自然科学基金;
关键词
Sliding mode control; Convex mean-square stability; Time delay; SLIDING MODE CONTROL; JUMP SYSTEMS; STABILITY ANALYSIS; TRACKING CONTROL;
D O I
10.1007/s11071-024-10133-9
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This work studies the sliding mode control (SMC) of semi-Markov switching systems (S-MSSs) with time delay in discrete domain. The time delay is first considered in studying discrete S-MSSs with SMC strategy. Owing to their excellent engineering background and advantages in complex system modeling, S-MSSs have a wide range of application prospects. By virtue of the delay-dependent Lyapunov-Krasovskill functional and the probability form of semi-Markov switching signal, a novel convex mean-square stability of the underlying system is provided through a new set of less conservative linear matrix inequalities and suitable semi-Markov conditions. Furthermore, an appropriate delayed SMC mechanism is built to drive the states onto the quasi-sliding mode and remain there for all subsequent time. Finally, an electronic throttle model is presented to validate the availability of the proposed method.
引用
收藏
页码:21309 / 21319
页数:11
相关论文
共 50 条
  • [31] Controller design for discrete-time hybrid linear parameter-varying systems with semi-Markov mode switching
    Zhang, Lin
    Li, Gang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (15): : 7056 - 7071
  • [32] Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems
    Wang, Bao
    Zhu, Quanxin
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (12) : 5415 - 5421
  • [33] SAMPLING INSPECTION IN SEMI-MARKOV SYSTEMS
    ANISIMOV, VV
    SEREDA, VI
    CYBERNETICS, 1989, 25 (03): : 400 - 408
  • [34] Prediction in Semi-Markov Repairable Systems
    Fathizadeh, M.
    Khorshidian, K.
    Mansoori, H.
    JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2025, 19 (01)
  • [35] Efficient SMC Inference in Semi-Markov Models by Compressing the Belief State
    Nyolt, Martin
    Kirste, Thomas
    2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2017, : 310 - 315
  • [36] Dependability analysis of semi-Markov systems
    Limnios, N
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 1997, 55 (03) : 203 - 207
  • [37] SEMI-MARKOV APPROACH TO THE PROBLEM OF DELAYED REFLECTION OF DIFFUSION MARKOV PROCESSES
    Harlamov, B. P.
    THEORY OF PROBABILITY AND MATHEMATICAL STATISTICS, 2013, 89 : 12 - 20
  • [38] Stability and Control of Fuzzy Semi-Markov Jump Systems Under Unknown Semi-Markov Kernel
    Ning, Zepeng
    Cai, Bo
    Weng, Rui
    Zhang, Lixian
    Su, Shun-Feng
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (07) : 2452 - 2465
  • [39] On the basic reproduction number in semi-Markov switching networks
    Cao, Xiaochun
    Jin, Zhen
    Liu, Guirong
    Li, Michael Y.
    JOURNAL OF BIOLOGICAL DYNAMICS, 2021, 15 (01) : 73 - 85
  • [40] Survival probabilities in a discrete semi-Markov risk model
    Chen, Mi
    Yuen, Kam Chuen
    Guo, Junyi
    APPLIED MATHEMATICS AND COMPUTATION, 2014, 232 : 205 - 215