Gramian approach for control costs estimation
The gramian-based approach is proposed for estimation of control costs. The inputs of object are considered to be finite-dimensional. Authors proposed to consider the norm of control vector as a measure of system power consumption, which could be estimated by upper and lower bounds. These control co...
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creator | Biryukov, D. S. Ushakov, A. V. |
description | The gramian-based approach is proposed for estimation of control costs. The inputs of object are considered to be finite-dimensional. Authors proposed to consider the norm of control vector as a measure of system power consumption, which could be estimated by upper and lower bounds. These control cost bounds are calculated by means of singular values of control costs gramian and the norm of initial state vector while control costs gramian is calculated from Lyapunov equation. The algorithm and numerical example for harmonic exogenous impact are attached. |
doi_str_mv | 10.1109/INECCE.2011.5953856 |
format | Conference Proceeding |
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S.</creatorcontrib><creatorcontrib>Ushakov, A. V.</creatorcontrib><title>Gramian approach for control costs estimation</title><title>International Conference on Electrical, Control and Computer Engineering 2011 (InECCE)</title><addtitle>INECCE</addtitle><description>The gramian-based approach is proposed for estimation of control costs. The inputs of object are considered to be finite-dimensional. Authors proposed to consider the norm of control vector as a measure of system power consumption, which could be estimated by upper and lower bounds. These control cost bounds are calculated by means of singular values of control costs gramian and the norm of initial state vector while control costs gramian is calculated from Lyapunov equation. The algorithm and numerical example for harmonic exogenous impact are attached.</description><subject>Conferences</subject><subject>control costs</subject><subject>dynamic system</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Equations</subject><subject>Estimation</subject><subject>finite-dimensional impact</subject><subject>Generators</subject><subject>gramian</subject><subject>Intelligent control</subject><subject>Mathematical model</subject><isbn>9781612842295</isbn><isbn>1612842291</isbn><isbn>1612842305</isbn><isbn>9781612842288</isbn><isbn>9781612842301</isbn><isbn>1612842283</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKw0AYhUdEUGueoJu8QOI_95mlhFgLRTfdl38uwUibhJnZ-PYGzNl8fJtzOITsKbSUgn09fvZd17cMKG2lldxIdUeeqaLMCMZB3pPKarM5s_KRVDn_wBqlLLX2iTSHhLcRpxqXJc3ov-thTrWfp5Lm68pcch1zGW9Yxnl6IQ8DXnOsNu7I-b0_dx_N6etw7N5OzWihNIaBjwqkYFFqF4xDF7QxmisQwXqtndZo0UMQQ3BiVY9-cB4lWgE88B3Z_9eOMcbLktb19HvZDvI_FsxE6A</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Biryukov, D. 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V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-820ce60542e57bd8babd78873604d9c77b77a9ac0d4fdb47b7cacfbca5a9403d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Conferences</topic><topic>control costs</topic><topic>dynamic system</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Equations</topic><topic>Estimation</topic><topic>finite-dimensional impact</topic><topic>Generators</topic><topic>gramian</topic><topic>Intelligent control</topic><topic>Mathematical model</topic><toplevel>online_resources</toplevel><creatorcontrib>Biryukov, D. S.</creatorcontrib><creatorcontrib>Ushakov, A. V.</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 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>Biryukov, D. S.</au><au>Ushakov, A. V.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Gramian approach for control costs estimation</atitle><btitle>International Conference on Electrical, Control and Computer Engineering 2011 (InECCE)</btitle><stitle>INECCE</stitle><date>2011-06</date><risdate>2011</risdate><spage>94</spage><epage>96</epage><pages>94-96</pages><isbn>9781612842295</isbn><isbn>1612842291</isbn><eisbn>1612842305</eisbn><eisbn>9781612842288</eisbn><eisbn>9781612842301</eisbn><eisbn>1612842283</eisbn><abstract>The gramian-based approach is proposed for estimation of control costs. The inputs of object are considered to be finite-dimensional. Authors proposed to consider the norm of control vector as a measure of system power consumption, which could be estimated by upper and lower bounds. These control cost bounds are calculated by means of singular values of control costs gramian and the norm of initial state vector while control costs gramian is calculated from Lyapunov equation. The algorithm and numerical example for harmonic exogenous impact are attached.</abstract><pub>IEEE</pub><doi>10.1109/INECCE.2011.5953856</doi><tpages>3</tpages></addata></record> |
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subjects | Conferences control costs dynamic system Eigenvalues and eigenfunctions Equations Estimation finite-dimensional impact Generators gramian Intelligent control Mathematical model |
title | Gramian approach for control costs estimation |
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