Finite-dimensional control of linear discrete-time fractional-order systems

被引:19
|
作者
Alessandretti, Andrea [1 ]
Pequito, Sergio [2 ]
Pappas, George J. [3 ]
Aguiar, A. Pedro [1 ]
机构
[1] Univ Porto, Fac Engn, Porto, Portugal
[2] Rensselaer Polytech Inst, Dept Ind & Syst Engn, Troy, NY USA
[3] Univ Penn, Dept Elect & Syst Engn, Sch Engn & Appl Sci, Philadelphia, PA 19104 USA
关键词
STABILITY;
D O I
10.1016/j.automatica.2019.108512
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 addresses the design of finite-dimensional feedback control laws for linear discrete-time fractional-order systems with additive state disturbance. A set of sufficient conditions are provided to guarantee convergence of the state trajectories to an ultimate bound around the origin with size increasing with the magnitude of the disturbances. Performing a suitable change of coordinates, the latter result can be used to design a controller that is able to track reference trajectories that are solutions of the unperturbed fractional-order system. To overcome the challenges associated with the generation of such solutions, we address the practical case where the references to be tracked are generated as a solution of a specific finite-dimensional approximation of the original fractional-order system. In this case, the tracking error trajectory is driven to an asymptotic bound that is increasing with the magnitude of the disturbances and decreases with the increment in the accuracy of the approximation. The proposed controllers are finite-dimensional, in the sense that the computation of the control input only requires a finite number of previous state and input vectors of the system. Numerical simulations illustrate the proposed design methods in different scenarios. (C) 2019 Published by Elsevier Ltd.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Predictive control of linear fractional-order systems based on discrete-time fractional-order Laguerre filters
    Stanislawski, Rafal
    Latawiec, Krzysztof J.
    Rydel, Marek
    Lukaniszyn, Marian
    Galek, Marcin
    2018 23RD INTERNATIONAL CONFERENCE ON METHODS & MODELS IN AUTOMATION & ROBOTICS (MMAR), 2018, : 110 - 113
  • [2] Chaotic Control in Fractional-Order Discrete-Time Systems
    Ouannas, Adel
    Grassi, Giuseppe
    Azar, Ahmad Taher
    Khennaouia, Amina Aicha
    Viet-Thanh Pham
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2019, 2020, 1058 : 207 - 217
  • [3] OPTIMAL CONTROL FOR DISCRETE-TIME, LINEAR FRACTIONAL-ORDER SYSTEMS WITH MARKOVIAN JUMPS
    Ungureanu, Viorica Mariela
    PROCEEDINGS OF THE TWENTY-FIRST INTERNATIONAL CONFERENCE ON GEOMETRY, INTEGRABILITY AND QUANTIZATION, 2020, 21 : 291 - 301
  • [4] Optimal control of discrete-time linear fractional-order systems with multiplicative noise
    Trujillo, J. J.
    Ungureanu, V. M.
    INTERNATIONAL JOURNAL OF CONTROL, 2018, 91 (01) : 57 - 69
  • [5] Controllability and observability of linear discrete-time fractional-order systems
    Guermah, Said
    Djennoune, Said
    Bettayed, Maamar
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2008, 18 (02) : 213 - 222
  • [6] Stability of fractional-order periodic discrete-time linear systems
    Tehrani, H. A.
    Esmaeili, J.
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2017, 34 (01) : 271 - 281
  • [7] Finite-Dimensional Sampled-Data Control of Fractional-Order Systems
    Li, Xinyao
    Wen, Changyun
    Liu, Xiao-Kang
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 181 - 186
  • [8] Synchronization Control of Fractional-Order Discrete-Time Chaotic Systems
    Liao, Xiaozhong
    Gao, Zhe
    Huang, Hong
    2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 2214 - 2219
  • [9] On Observability of Nonlinear Discrete-Time Fractional-Order Control Systems
    Mozyrska, Dorota
    Bartosiewicz, Zbigniew
    NEW TRENDS IN NANOTECHNOLOGY AND FRACTIONAL CALCULUS APPLICATIONS, 2010, : 305 - 312
  • [10] Fractional-order derivative approximations in discrete-time control systems
    Machado, J.A.Tenreiro
    Systems Analysis Modelling Simulation, 1999, 34 (04): : 419 - 434