Robustness margin for piecewise affine explicit control law

被引:0
|
作者
Koduri, Rajesh [1 ]
Rodriguez-Ayerbe, Pedro [1 ]
Olaru, Sorin [1 ]
机构
[1] Paris Saclay Univ, L2S, CentraleSupelec, CNRS,UPS, F-91192 Gif Sur Yvette, France
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Classical robustness margin i.e., gain margin and phase margin, considers the gain variation and phase variation of the model for which the stability of the closed loop is preserved. In this paper, an attempt to find the same kind of margin for a piecewise affine (PWA) controller is done. This type of controller obtained for example via explicit model predictive control (MPC) is defined over a convex region of the state space X. Starting from the invariance property of the closed loop obtained involving a discrete dynamic model and PWA controller in a convex region of the state space, we calculate the two robustness margin preserving this invariance property. The first one will be denoted as gain margin corresponding to the variation of the gain of the model guaranteeing the invariance. The second one, denoted, the robustness margin against first order neglected dynamics will correspond to the slowest first order neglected dynamic allowed in the system preserving the invariance property.
引用
收藏
页码:2327 / 2332
页数:6
相关论文
共 50 条
  • [1] Explicit robustness margin for contractive piecewise affine control laws
    Koduri, Rajesh
    Rodriguez-Ayerbe, Pedro
    Olaru, Sorin
    Hovd, Morten
    [J]. 2016 20TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2016, : 806 - 811
  • [2] Explicit robustness and fragility margins for linear discrete systems with piecewise affine control law
    Ngoc Anh Nguyen
    Olaru, Sorin
    Rodriguez-Ayerbe, Pedro
    Bitsoris, George
    Hovd, Morten
    [J]. AUTOMATICA, 2016, 68 : 334 - 343
  • [3] Lattice piecewise affine approximation of explicit linear model predictive control
    Xu, Jun
    [J]. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 2545 - 2550
  • [4] Evaluation of piecewise affine control law via graph traversal
    Herceg, Martin
    Mariethoz, Sebastien
    Morari, Manfred
    [J]. 2013 EUROPEAN CONTROL CONFERENCE (ECC), 2013, : 3089 - 3094
  • [5] On the lifting problems and their connections with piecewise affine control law design
    Nguyen, N. A.
    Olaru, S.
    Rodriguez-Ayerbe, P.
    Hovd, M.
    Necoara, I.
    [J]. 2014 EUROPEAN CONTROL CONFERENCE (ECC), 2014, : 2164 - 2169
  • [6] Explicit Model Predictive Control of a Drying Blower Temperature: The Piecewise Affine Approach
    Laribi, Ibtissem
    Gargouri, Faiez
    [J]. ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 1, 2022, 1417 : 293 - 303
  • [7] Irredundant lattice piecewise affine representations and their applications in explicit model predictive control
    Xu, Jun
    van den Boom, Ton J. J.
    De Schutter, Bart
    [J]. 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 4416 - 4421
  • [8] OPTIMAL CONTROL OF PIECEWISE AFFINE SYSTEMS WITH PIECEWISE AFFINE STATE FEEDBACK
    Wu, Changzhi
    Teo, Kok Lay
    Rehbock, Volker
    [J]. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2009, 5 (04) : 737 - 747
  • [9] Robust explicit model predictive control via regular piecewise-affine approximation
    Rubagotti, Matteo
    Barcelli, Davide
    Bemporad, Alberto
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2014, 87 (12) : 2583 - 2593
  • [10] Hybrid explicit model predictive control of a nonlinear process approximated with a piecewise affine model
    Pregelj, Bostjan
    Gerksic, Samo
    [J]. JOURNAL OF PROCESS CONTROL, 2010, 20 (07) : 832 - 839