Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme

This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compens...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Peng, Chen [verfasserIn] Yang, Mingjin Zhang, Jin Fei, Minrui Hu, Songlin

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017transfer abstract

Schlagwörter:	Networked control systems Takagi–Sugeno fuzzy systems Adaptive event-triggered communication Asynchronous premises

Umfang:	16

Übergeordnetes Werk:	Enthalten in: Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species - Polizzi, P. ELSEVIER, 2017transfer abstract, [S.l.]
Übergeordnetes Werk:	volume:329 ; year:2017 ; day:15 ; month:12 ; pages:61-76 ; extent:16

Links:	Volltext

DOI / URN:	10.1016/j.fss.2016.12.011

Katalog-ID:	ELV040773132

Internformat


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520			\|a This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.
520			\|a This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.
650		7	\|a Networked control systems \|2 Elsevier
650		7	\|a Takagi–Sugeno fuzzy systems \|2 Elsevier
650		7	\|a Adaptive event-triggered communication \|2 Elsevier
650		7	\|a Asynchronous premises \|2 Elsevier
700	1		\|a Yang, Mingjin \|4 oth
700	1		\|a Zhang, Jin \|4 oth
700	1		\|a Fei, Minrui \|4 oth
700	1		\|a Hu, Songlin \|4 oth
773	0	8	\|i Enthalten in \|n Elsevier \|a Polizzi, P. ELSEVIER \|t Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species \|d 2017transfer abstract \|g [S.l.] \|w (DE-627)ELV020637101
773	1	8	\|g volume:329 \|g year:2017 \|g day:15 \|g month:12 \|g pages:61-76 \|g extent:16
856	4	0	\|u https://doi.org/10.1016/j.fss.2016.12.011 \|3 Volltext
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936	b	k	\|a 44.40 \|j Pharmazie \|j Pharmazeutika \|q VZ
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Indexfelder

author_variant	c p cp
matchkey_str	pengchenyangmingjinzhangjinfeiminruihuso:2017----:ewrbsdcnrlotfzyytmwtaaatveetrge
hierarchy_sort_str	2017transfer abstract
bklnumber	44.40
publishDate	2017
allfields	10.1016/j.fss.2016.12.011 doi GBV00000000000015.pica (DE-627)ELV040773132 (ELSEVIER)S0165-0114(16)30452-3 DE-627 ger DE-627 rakwb eng 510 510 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Peng, Chen verfasserin aut Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme 2017transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Elsevier Yang, Mingjin oth Zhang, Jin oth Fei, Minrui oth Hu, Songlin oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:329 year:2017 day:15 month:12 pages:61-76 extent:16 https://doi.org/10.1016/j.fss.2016.12.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 329 2017 15 1215 61-76 16 045F 510
spelling	10.1016/j.fss.2016.12.011 doi GBV00000000000015.pica (DE-627)ELV040773132 (ELSEVIER)S0165-0114(16)30452-3 DE-627 ger DE-627 rakwb eng 510 510 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Peng, Chen verfasserin aut Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme 2017transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Elsevier Yang, Mingjin oth Zhang, Jin oth Fei, Minrui oth Hu, Songlin oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:329 year:2017 day:15 month:12 pages:61-76 extent:16 https://doi.org/10.1016/j.fss.2016.12.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 329 2017 15 1215 61-76 16 045F 510
allfields_unstemmed	10.1016/j.fss.2016.12.011 doi GBV00000000000015.pica (DE-627)ELV040773132 (ELSEVIER)S0165-0114(16)30452-3 DE-627 ger DE-627 rakwb eng 510 510 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Peng, Chen verfasserin aut Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme 2017transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Elsevier Yang, Mingjin oth Zhang, Jin oth Fei, Minrui oth Hu, Songlin oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:329 year:2017 day:15 month:12 pages:61-76 extent:16 https://doi.org/10.1016/j.fss.2016.12.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 329 2017 15 1215 61-76 16 045F 510
allfieldsGer	10.1016/j.fss.2016.12.011 doi GBV00000000000015.pica (DE-627)ELV040773132 (ELSEVIER)S0165-0114(16)30452-3 DE-627 ger DE-627 rakwb eng 510 510 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Peng, Chen verfasserin aut Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme 2017transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Elsevier Yang, Mingjin oth Zhang, Jin oth Fei, Minrui oth Hu, Songlin oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:329 year:2017 day:15 month:12 pages:61-76 extent:16 https://doi.org/10.1016/j.fss.2016.12.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 329 2017 15 1215 61-76 16 045F 510
allfieldsSound	10.1016/j.fss.2016.12.011 doi GBV00000000000015.pica (DE-627)ELV040773132 (ELSEVIER)S0165-0114(16)30452-3 DE-627 ger DE-627 rakwb eng 510 510 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Peng, Chen verfasserin aut Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme 2017transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method. Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Elsevier Yang, Mingjin oth Zhang, Jin oth Fei, Minrui oth Hu, Songlin oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:329 year:2017 day:15 month:12 pages:61-76 extent:16 https://doi.org/10.1016/j.fss.2016.12.011 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 329 2017 15 1215 61-76 16 045F 510
language	English
source	Enthalten in Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species [S.l.] volume:329 year:2017 day:15 month:12 pages:61-76 extent:16
sourceStr	Enthalten in Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species [S.l.] volume:329 year:2017 day:15 month:12 pages:61-76 extent:16
format_phy_str_mv	Article
bklname	Pharmazie Pharmazeutika
institution	findex.gbv.de
topic_facet	Networked control systems Takagi–Sugeno fuzzy systems Adaptive event-triggered communication Asynchronous premises
dewey-raw	510
isfreeaccess_bool	false
container_title	Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species
authorswithroles_txt_mv	Peng, Chen @@aut@@ Yang, Mingjin @@oth@@ Zhang, Jin @@oth@@ Fei, Minrui @@oth@@ Hu, Songlin @@oth@@
publishDateDaySort_date	2017-01-15T00:00:00Z
hierarchy_top_id	ELV020637101
dewey-sort	3510
id	ELV040773132
language_de	englisch
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author	Peng, Chen
spellingShingle	Peng, Chen ddc 510 ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme
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topic_title	510 510 DE-600 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme Networked control systems Elsevier Takagi–Sugeno fuzzy systems Elsevier Adaptive event-triggered communication Elsevier Asynchronous premises Elsevier
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title	Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme
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title_full	Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme
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title_sort	network-based h ∞ control for t–s fuzzy systems with an adaptive event-triggered communication scheme
title_auth	Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme
abstract	This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.
abstractGer	This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.
abstract_unstemmed	This paper extends the prior work of discrete event-triggered communication for networked T–S fuzzy systems, where the next communication instant is determined by an event-triggered communication scheme with a constant threshold and the premises of T–S fuzzy systems and parallel distribution compensation (PDC) fuzzy control rules are synchronous. Firstly, an adaptive event-triggered communication scheme for NCSs is presented, which relaxes the assumption of the prior work that the threshold of event-triggered communication scheme is a preselected constant. Secondly, an asynchronous premise re-construct method for networked T–S fuzzy systems is proposed, which relaxes the assumption of the prior work that the premises of the plant and the PDC control rules are synchronous. We show that the number of transmitted packets generated by the proposed scheme is smaller than those generated by some existing ones while ensuring the desired control performance. Simulations show the effectiveness of the proposed method.
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title_short	Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme
url	https://doi.org/10.1016/j.fss.2016.12.011
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up_date	2024-07-06T18:21:46.366Z
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Network-based H ∞ control for T–S fuzzy systems with an adaptive event-triggered communication scheme

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