Human Adaptive Control Strategy for Multiple Air Conditioners
This paper concerns a control strategy for multiple systems that affect the condition of the air in a room such as electric heaters and floor heating systems. Based on a resident lifestyle and case-based approach, the control system with the proposed strategy optimizes the weighted summation of thre...
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creator | Koretsune, A. Yamada, K. Tsuji, H. Jinno, Y. Mimura, E. |
description | This paper concerns a control strategy for multiple systems that affect the condition of the air in a room such as electric heaters and floor heating systems. Based on a resident lifestyle and case-based approach, the control system with the proposed strategy optimizes the weighted summation of three evaluation indices: cost, the time needed to reach a comfortable state and the rate of the comfortable state where the comfortable state is defined by well-known PMV (predicted mean vote). This paper discusses how the three indices are evaluated and describes the roles of various components in the proposed system. This paper also presents the user interface for expressing a user's lifestyle and it touches on future issues. |
doi_str_mv | 10.1109/ICSMC.2006.384991 |
format | Conference Proceeding |
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This paper also presents the user interface for expressing a user's lifestyle and it touches on future issues.</description><subject>Adaptive control</subject><subject>Control systems</subject><subject>Data envelopment analysis</subject><subject>Energy consumption</subject><subject>Home appliances</subject><subject>Humans</subject><subject>Nuclear power generation</subject><subject>Resistance heating</subject><subject>Switches</subject><subject>User interfaces</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>1424400996</isbn><isbn>9781424400997</isbn><isbn>1424401003</isbn><isbn>9781424401000</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1js1Kw0AUhcc_sK0-gLjJC6Tee2cyPwsXJVRbaHFRBXdlppnISJqEyVTo21tRVwfOd_g4jN0hTBHBPCzLzbqcEoCcci2MwTM2RkFCAALwczaiQqkcZVFc_AMwRl6yEYKk3BC9X7PxMHwCEAjUI_a4OOxtm80q26fw5bOya1PsmmyTok3-45jVXczWhyaFvvHZLMSfRRVS6Fofhxt2Vdtm8Ld_OWFvT_PXcpGvXp6X5WyVBxKY8sqjtU7VijuvNNcknHCnZ9oZ2nlX14hOWQkOdqeKC9K60lToSjogqzmfsPtfb_Deb_sY9jYet4KUQJL8G6vbS9I</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Koretsune, A.</creator><creator>Yamada, K.</creator><creator>Tsuji, H.</creator><creator>Jinno, Y.</creator><creator>Mimura, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200610</creationdate><title>Human Adaptive Control Strategy for Multiple Air Conditioners</title><author>Koretsune, A. ; Yamada, K. ; Tsuji, H. ; Jinno, Y. ; Mimura, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i241t-de1aab7f73be783824b4b0098b92cebff11b7a60b0c8b934288d8258d6b02a833</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adaptive control</topic><topic>Control systems</topic><topic>Data envelopment analysis</topic><topic>Energy consumption</topic><topic>Home appliances</topic><topic>Humans</topic><topic>Nuclear power generation</topic><topic>Resistance heating</topic><topic>Switches</topic><topic>User interfaces</topic><toplevel>online_resources</toplevel><creatorcontrib>Koretsune, A.</creatorcontrib><creatorcontrib>Yamada, K.</creatorcontrib><creatorcontrib>Tsuji, H.</creatorcontrib><creatorcontrib>Jinno, Y.</creatorcontrib><creatorcontrib>Mimura, E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Koretsune, A.</au><au>Yamada, K.</au><au>Tsuji, H.</au><au>Jinno, Y.</au><au>Mimura, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Human Adaptive Control Strategy for Multiple Air Conditioners</atitle><btitle>2006 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2006-10</date><risdate>2006</risdate><volume>3</volume><spage>1804</spage><epage>1809</epage><pages>1804-1809</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>1424400996</isbn><isbn>9781424400997</isbn><eisbn>1424401003</eisbn><eisbn>9781424401000</eisbn><abstract>This paper concerns a control strategy for multiple systems that affect the condition of the air in a room such as electric heaters and floor heating systems. Based on a resident lifestyle and case-based approach, the control system with the proposed strategy optimizes the weighted summation of three evaluation indices: cost, the time needed to reach a comfortable state and the rate of the comfortable state where the comfortable state is defined by well-known PMV (predicted mean vote). This paper discusses how the three indices are evaluated and describes the roles of various components in the proposed system. This paper also presents the user interface for expressing a user's lifestyle and it touches on future issues.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2006.384991</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive control Control systems Data envelopment analysis Energy consumption Home appliances Humans Nuclear power generation Resistance heating Switches User interfaces |
title | Human Adaptive Control Strategy for Multiple Air Conditioners |
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