Discrete-Time Dynamic Output Feedback Integral Sliding Model Predictive Control

In this paper, a novel discrete-time dynamic output feedback integral sliding model predictive control is proposed for linear systems. A Luenberger observer is designed when the states are not completely measurable. A set of inequalities are presents to keep the practical states, observed states and...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiao, HuiLi, Zhao, DongYa
Format: Conference Proceeding
Language:English
Subjects:
Closed loop systems
Dynamical Output Feedback
Linear matrix inequalities
Linear Matrix Inequality
Model Predictive Control
Observers
Output feedback
Predictive control
Robustness
Sliding mode control
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 2362
container_issue
container_start_page 2357
container_title
container_volume
creator Xiao, HuiLi
Zhao, DongYa
description In this paper, a novel discrete-time dynamic output feedback integral sliding model predictive control is proposed for linear systems. A Luenberger observer is designed when the states are not completely measurable. A set of inequalities are presents to keep the practical states, observed states and observation errors within the same ellipse, then input and state constraints can be solved by linear matrix inequalities (LMI). A new sliding surface is proposed which is relevant to the system observer states and model predictive control law. It is also proved that this method can effectively guarantee the stability of the closed-loop system. Finally, the validity of proposed method is verified by simulation.
doi_str_mv 10.23919/CCC50068.2020.9189475
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_9189475</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9189475</ieee_id><sourcerecordid>9189475</sourcerecordid><originalsourceid>FETCH-LOGICAL-i203t-de2e88dea0567e8255401d3e81285eac4bde756e4acee429f83d25a17aaa7fea3</originalsourceid><addsrcrecordid>eNotj91KwzAYQKMgOOeeQJC8QGt-mia5lMzNwaSC83p8S76OaNuNNBP29gru6lydA4eQR85KIS23T845xVhtSsEEKy03ttLqisysNtYYrmppmbwmE8FrXggr9C25G8evP4VZLiekmcfRJ8xYbGKPdH4eoI-eNqd8PGW6QAw78N90NWTcJ-joRxdDHPb07RCwo-8JQ_Q5_iB1hyGnQ3dPblroRpxdOCWfi5eNey3WzXLlntdFFEzmIqBAYwICU7VGI5SqGA8SDRdGIfhqF1CrGivwiJWwrZFBKOAaAHSLIKfk4b8bEXF7TLGHdN5e_uUvGOhQnA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Discrete-Time Dynamic Output Feedback Integral Sliding Model Predictive Control</title><source>IEEE Xplore All Conference Series</source><creator>Xiao, HuiLi ; Zhao, DongYa</creator><creatorcontrib>Xiao, HuiLi ; Zhao, DongYa</creatorcontrib><description>In this paper, a novel discrete-time dynamic output feedback integral sliding model predictive control is proposed for linear systems. A Luenberger observer is designed when the states are not completely measurable. A set of inequalities are presents to keep the practical states, observed states and observation errors within the same ellipse, then input and state constraints can be solved by linear matrix inequalities (LMI). A new sliding surface is proposed which is relevant to the system observer states and model predictive control law. It is also proved that this method can effectively guarantee the stability of the closed-loop system. Finally, the validity of proposed method is verified by simulation.</description><identifier>EISSN: 2161-2927</identifier><identifier>EISBN: 9789881563903</identifier><identifier>EISBN: 9881563909</identifier><identifier>DOI: 10.23919/CCC50068.2020.9189475</identifier><language>eng</language><publisher>Technical Committee on Control Theory, Chinese Association of Automation</publisher><subject>Closed loop systems ; Dynamical Output Feedback ; Linear matrix inequalities ; Linear Matrix Inequality ; Model Predictive Control ; Observers ; Output feedback ; Predictive control ; Robustness ; Sliding mode control</subject><ispartof>2020 39th Chinese Control Conference (CCC), 2020, p.2357-2362</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9189475$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9189475$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiao, HuiLi</creatorcontrib><creatorcontrib>Zhao, DongYa</creatorcontrib><title>Discrete-Time Dynamic Output Feedback Integral Sliding Model Predictive Control</title><title>2020 39th Chinese Control Conference (CCC)</title><addtitle>ChiCC</addtitle><description>In this paper, a novel discrete-time dynamic output feedback integral sliding model predictive control is proposed for linear systems. A Luenberger observer is designed when the states are not completely measurable. A set of inequalities are presents to keep the practical states, observed states and observation errors within the same ellipse, then input and state constraints can be solved by linear matrix inequalities (LMI). A new sliding surface is proposed which is relevant to the system observer states and model predictive control law. It is also proved that this method can effectively guarantee the stability of the closed-loop system. Finally, the validity of proposed method is verified by simulation.</description><subject>Closed loop systems</subject><subject>Dynamical Output Feedback</subject><subject>Linear matrix inequalities</subject><subject>Linear Matrix Inequality</subject><subject>Model Predictive Control</subject><subject>Observers</subject><subject>Output feedback</subject><subject>Predictive control</subject><subject>Robustness</subject><subject>Sliding mode control</subject><issn>2161-2927</issn><isbn>9789881563903</isbn><isbn>9881563909</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2020</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj91KwzAYQKMgOOeeQJC8QGt-mia5lMzNwaSC83p8S76OaNuNNBP29gru6lydA4eQR85KIS23T845xVhtSsEEKy03ttLqisysNtYYrmppmbwmE8FrXggr9C25G8evP4VZLiekmcfRJ8xYbGKPdH4eoI-eNqd8PGW6QAw78N90NWTcJ-joRxdDHPb07RCwo-8JQ_Q5_iB1hyGnQ3dPblroRpxdOCWfi5eNey3WzXLlntdFFEzmIqBAYwICU7VGI5SqGA8SDRdGIfhqF1CrGivwiJWwrZFBKOAaAHSLIKfk4b8bEXF7TLGHdN5e_uUvGOhQnA</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Xiao, HuiLi</creator><creator>Zhao, DongYa</creator><general>Technical Committee on Control Theory, Chinese Association of Automation</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>202007</creationdate><title>Discrete-Time Dynamic Output Feedback Integral Sliding Model Predictive Control</title><author>Xiao, HuiLi ; Zhao, DongYa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-de2e88dea0567e8255401d3e81285eac4bde756e4acee429f83d25a17aaa7fea3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Closed loop systems</topic><topic>Dynamical Output Feedback</topic><topic>Linear matrix inequalities</topic><topic>Linear Matrix Inequality</topic><topic>Model Predictive Control</topic><topic>Observers</topic><topic>Output feedback</topic><topic>Predictive control</topic><topic>Robustness</topic><topic>Sliding mode control</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiao, HuiLi</creatorcontrib><creatorcontrib>Zhao, DongYa</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiao, HuiLi</au><au>Zhao, DongYa</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Discrete-Time Dynamic Output Feedback Integral Sliding Model Predictive Control</atitle><btitle>2020 39th Chinese Control Conference (CCC)</btitle><stitle>ChiCC</stitle><date>2020-07</date><risdate>2020</risdate><spage>2357</spage><epage>2362</epage><pages>2357-2362</pages><eissn>2161-2927</eissn><eisbn>9789881563903</eisbn><eisbn>9881563909</eisbn><abstract>In this paper, a novel discrete-time dynamic output feedback integral sliding model predictive control is proposed for linear systems. A Luenberger observer is designed when the states are not completely measurable. A set of inequalities are presents to keep the practical states, observed states and observation errors within the same ellipse, then input and state constraints can be solved by linear matrix inequalities (LMI). A new sliding surface is proposed which is relevant to the system observer states and model predictive control law. It is also proved that this method can effectively guarantee the stability of the closed-loop system. Finally, the validity of proposed method is verified by simulation.</abstract><pub>Technical Committee on Control Theory, Chinese Association of Automation</pub><doi>10.23919/CCC50068.2020.9189475</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2161-2927
ispartof 2020 39th Chinese Control Conference (CCC), 2020, p.2357-2362
issn 2161-2927
language eng
recordid cdi_ieee_primary_9189475
source IEEE Xplore All Conference Series
subjects Closed loop systems
Dynamical Output Feedback
Linear matrix inequalities
Linear Matrix Inequality
Model Predictive Control
Observers
Output feedback
Predictive control
Robustness
Sliding mode control
title Discrete-Time Dynamic Output Feedback Integral Sliding Model Predictive Control
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T01%3A03%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Discrete-Time%20Dynamic%20Output%20Feedback%20Integral%20Sliding%20Model%20Predictive%20Control&rft.btitle=2020%2039th%20Chinese%20Control%20Conference%20(CCC)&rft.au=Xiao,%20HuiLi&rft.date=2020-07&rft.spage=2357&rft.epage=2362&rft.pages=2357-2362&rft.eissn=2161-2927&rft_id=info:doi/10.23919/CCC50068.2020.9189475&rft.eisbn=9789881563903&rft.eisbn_list=9881563909&rft_dat=%3Cieee_CHZPO%3E9189475%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i203t-de2e88dea0567e8255401d3e81285eac4bde756e4acee429f83d25a17aaa7fea3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=9189475&rfr_iscdi=true