TY - JOUR
T1 - Time-varying tube-based output feedback mpc for constrained linear systems with intermittently delayed data
AU - Hassaan, Syed M.
AU - Pati, Tarun
AU - Shen, Qiang
AU - Yong, Sze Zheng
N1 - Funding Information:
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Survey papers (e.g., Borrelli et al. taking false data injection attacks into account (e.g., L(p2ri0tee1dr7iacΞttuiavrnedcRorneetvferieorewlni.ncetSosu(rtivhΞeeoyrepiepnnaΞ-plcoeaortspegm(oeri.ngiz-.e,mdaBxroorabrpueplsltriomaectohdeaesll., FaΘzi et al. (2014Ξ; Yong et al. (2018ΞΞ, mainly in a (p2r0e1d7icΞtiavnedcornetferorelnincetos (tihΞeorepiennΞ-lcoaotpegmoriniz-emdaxroabpupstromacohdeesl, FtaoΘchziasetticasle.tt(i2n0g1.4MΞ;oYreonrgeceenttlayl,.r(o2b0u1s8tΞΞc,onmtraoinllleyrsinanda pΘrheedriecttihve coopntitmroallincotont(rioΞlospeeqnu-elnocoep ims cino-mmpauxteadppbraosaecdheosn, stochastic setting. More recently, robust controllers and pΘrheedriecttihve coopntitmroallincotont(rioΞlospeeqnu-elnocoep ims cino-mmpauxteadppbraosaecdheosn, stsoticmhaasttoircs sΘeittthinΘg.orMsto-craeserebcoeunntldys, hroabveusbteecnonptrrooplloesresdafnodr Θrheedriecttihve coopntitmroallincotont(rioΞlospeeqnu-elnocoep ims cino-mmpauxteadppbraosaecdheosn, estimators Θith Θorst-case bounds have been proposed for ★ΘhThiserewthorekopis partiallytimal cosuppntrolortedseqbuyenNceSFisgrcaompnts CNutS-1932066ed basedandon thsteimmaistsoirnsgΘ/ditehlaΘyeodrsdt-actaasescbeonuanridosinhaRvuetbleedegnepertoaplo.s(e2d01fo8r, ★ This work is partially supported by NSF grants CNS-1932066 and the missing/delayed data scenario in Rutledge et al. (2018, C★NTSh-i1s9w43o5rk45i.s partially supported by NSF grants CNS-1932066 and the missing/delayed data scenario in Rutledge et al. (2018, ThisThis wwoorrkk isis partiallypartially suppsupportedorted bbyy NNSFSF ggrraannttss CNCNS-1932066S-1932066 andand 2020Ξthe mi;ssiHassaanng/delaetyedal.dat(2021Ξa scen. ario in Rutledge et al. (2018, CNTSh-i1s9w43o5rk45i.s partially supported by NSF grants CNS-1932066 and 2020Ξthe mi;ssiHassaanng/delaetyedal.dat(2021Ξa scen. ario in Rutledge et al. (2018, CNS-1943545. 2020Ξ; Hassaan et al. (2021Ξ. CNS-1943545.CNTSh-i1s9w43o5rk45i.spartiallysupportedbyNSFgrantsCNS-1932066and 2020Ξ; Hassaan et al. (2021Ξ. 2405-8963 Copyright © 2021 The Authors. This is an open access article under the CC BY-NC-ND license. Peer review under responsibility of International Federation of Automatic Control. 10.1016/j.ifacol.2021.08.482 Contributions. In this paper, we propose a time-varfflinffi tube-based output feedback MPC for constrained Ξinear sfflstems in the presence of deΞaffled and missinffi observations, whose patterns satisfffl a periodic finite-Ξenffith Ξan-ffiuaffieΘ Our desiffin is based on an equaΞized recoverffl frame-work (RutΞedffie et aΞΘ (2018, 2020); Hassaan et aΞΘ (2021)), which is a reΞaxation of robust (controΞΞed) invariance and reΞated to N -step recurrence (Fiacchini and AΞamir (2018))Θ The basic idea proposed is to use a dfflnamic state estimator that achieves equaΞized recoverffl (thus, ffiuaranteeinffi finite time-varfflinffi estimation error bounds), which is then used to find an appropriate controΞ Ξaw usinffi an extension of tube-based output feedback MPC desiffins that aΞΞows time-varfflinffi tubes for tiffihteninffi the state and input constraintsΘ SpecificaΞΞffl, the contributions are:
Publisher Copyright:
Copyright © 2021 The Authors.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - This paper proposes a time-varying tube-based output feedback model predictive control (MPC) design for constrained linear systems in the presence of intermittently delayed observations, where the delayed/missing data patterns for each period satisfy a finite-length language. The design consists of a dynamic state estimator whose estimation errors satisfy equalized recovery (a weaker form of invariance with time-varying finite bounds), as well as an output feedback control law that extends existing tube-based output feedback MPC approaches to allow time-varying tubes for tightening the original state and input constraints. The resulting time-varying tube-based output feedback MPC design is robust to time-varying disturbances and errors, including when the observations are intermittently delayed. Further, we provide sufficient conditions for recursive feasibility and robust exponential stability of the proposed design. Simulation results demonstrate that the proposed approach is able to robustly stabilize and control a constrained linear system despite disturbances, noise and missing/delayed data.
AB - This paper proposes a time-varying tube-based output feedback model predictive control (MPC) design for constrained linear systems in the presence of intermittently delayed observations, where the delayed/missing data patterns for each period satisfy a finite-length language. The design consists of a dynamic state estimator whose estimation errors satisfy equalized recovery (a weaker form of invariance with time-varying finite bounds), as well as an output feedback control law that extends existing tube-based output feedback MPC approaches to allow time-varying tubes for tightening the original state and input constraints. The resulting time-varying tube-based output feedback MPC design is robust to time-varying disturbances and errors, including when the observations are intermittently delayed. Further, we provide sufficient conditions for recursive feasibility and robust exponential stability of the proposed design. Simulation results demonstrate that the proposed approach is able to robustly stabilize and control a constrained linear system despite disturbances, noise and missing/delayed data.
KW - Missing and delayed data
KW - Optimal control and optimization
KW - Output-based control
KW - Robust model predictive control
KW - Robust time-varying tubes
UR - http://www.scopus.com/inward/record.url?scp=85118982162&partnerID=8YFLogxK
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U2 - 10.1016/j.ifacol.2021.08.482
DO - 10.1016/j.ifacol.2021.08.482
M3 - Conference article
AN - SCOPUS:85118982162
SN - 2405-8963
VL - 54
SP - 103
EP - 108
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 5
T2 - 7th IFAC Conference on Analysis and Design of Hybrid Systems, ADHS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -