Reduced-complexity interpolating control with periodic invariant sets

被引:2
|
作者
Scialanga, Sheila [1 ]
Olaru, Sorin [2 ]
Ampountolas, Konstantinos [1 ,3 ]
机构
[1] Univ Glasgow, James Watt Sch Engn, Glasgow G12 8QQ, Lanark, Scotland
[2] Univ Paris Sud, Univ Paris Saclay, Lab Signals & Syst, Cent Supelec,CNRS, Paris, France
[3] Univ Thessaly, Dept Mech Engn, Volos, Greece
关键词
Interpolating control; invariant sets; periodic invariance; constrained systems; DISCRETE-TIME-SYSTEMS; MODEL-PREDICTIVE CONTROL; IMPROVED VERTEX CONTROL; LYAPUNOV FUNCTIONS; UNCERTAIN; STATE; REACHABILITY;
D O I
10.1080/00207179.2021.2013540
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A low-complexity interpolating control scheme based on the concept of periodic invariance is proposed. Periodic invariance allows the state trajectory to leave the controllable invariant set temporarily but return into the set in a finite number of steps. A periodic set with easy representation is considered to reduce the expensive computation of the controllable invariant set. Since this set is not a traditional invariant set, a vertex reachability problem of target sets is solved off-line for each vertex of the set and provides a contractive control sequence that steers the system state back into the original set. Online, the periodic interpolating control (pIC) scheme allows to transition between such periodic invariant sets and an inner set endorsed with positive invariance properties. Proofs of recursive feasibility and asymptotic stability of the pIC are given. A numerical example demonstrates that pIC provides similar performance compared to more expensive optimisation-based schemes.
引用
收藏
页码:757 / 769
页数:13
相关论文
共 50 条
  • [1] Interpolating Control with Periodic Invariant Sets
    Scialanga, Sheila
    Olaru, Sorin
    Ampountolas, Konstantinos
    2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 2086 - 2091
  • [2] REDUCED-COMPLEXITY GRAPHICS
    VOORHIES, D
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 1989, 9 (04) : 63 - 70
  • [3] ACTIVE NOISE CONTROL WITH REDUCED-COMPLEXITY KALMAN FILTER
    Fabry, Johannes
    Liebich, Stefan
    Vary, Peter
    Jax, Peter
    2018 16TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC), 2018, : 166 - 170
  • [4] A construction of interpolating wavelets on invariant sets
    Chen, ZY
    Micchelli, CA
    Xu, YS
    MATHEMATICS OF COMPUTATION, 1999, 68 (228) : 1569 - 1587
  • [5] Reduced-complexity MAP equalizer
    Qian, XC
    Zhao, CM
    Cheng, SX
    CHINESE JOURNAL OF ELECTRONICS, 2000, 9 (02): : 153 - 158
  • [6] Reduced-Complexity Decoding of LT Codes
    Albayrak, Cenk
    Turk, Kadir
    WIRELESS PERSONAL COMMUNICATIONS, 2017, 94 (03) : 969 - 975
  • [7] NEW APPROACHES TO REDUCED-COMPLEXITY DECODING
    COFFEY, JT
    GOODMAN, RM
    FARRELL, PG
    DISCRETE APPLIED MATHEMATICS, 1991, 33 (1-3) : 43 - 60
  • [8] Reduced-Complexity Decoding of LT Codes
    Cenk Albayrak
    Kadir Turk
    Wireless Personal Communications, 2017, 94 : 969 - 975
  • [9] Reduced-complexity model of stream temperature
    Miller, Robert L.
    Young, Tyler J.
    RIVER RESEARCH AND APPLICATIONS, 2022, 38 (02) : 267 - 279
  • [10] Reduced-Complexity Lattice Spherical Decoding
    Mejri, Asma
    Rekaya-Ben Othman, Ghaya
    2015 12TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2015,