Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints
This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-s...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jiang, Xiaowei [verfasserIn] Zhang, Ni [verfasserIn] Li, Bo [verfasserIn] Zhang, Xianhe [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Chaos, solitons & fractals - Amsterdam [u.a.] : Elsevier Science, 1991, 174 |
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| Übergeordnetes Werk: |
volume:174 |
| DOI / URN: |
10.1016/j.chaos.2023.113904 |
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| Katalog-ID: |
ELV062454609 |
|---|
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| 245 | 1 | 0 | |a Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints |
| 264 | 1 | |c 2023 | |
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| 520 | |a This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. | ||
| 650 | 4 | |a Consensus problems | |
| 650 | 4 | |a Second-order multi-agent system | |
| 650 | 4 | |a Impulsive control | |
| 650 | 4 | |a Saturation constraint | |
| 650 | 4 | |a Input saturation | |
| 700 | 1 | |a Zhang, Ni |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Bo |e verfasserin |0 (orcid)0000-0003-4532-3121 |4 aut | |
| 700 | 1 | |a Zhang, Xianhe |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Chaos, solitons & fractals |d Amsterdam [u.a.] : Elsevier Science, 1991 |g 174 |h Online-Ressource |w (DE-627)314118497 |w (DE-600)2003919-0 |w (DE-576)094504040 |x 1873-2887 |7 nnns |
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| 912 | |a GBV_ILN_4338 | ||
| 912 | |a GBV_ILN_4393 | ||
| 912 | |a GBV_ILN_4700 | ||
| 936 | b | k | |a 30.20 |j Nichtlineare Dynamik |q VZ |
| 936 | b | k | |a 31.00 |j Mathematik: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 174 | ||
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2023 |
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30.20 31.00 |
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| allfields |
10.1016/j.chaos.2023.113904 doi (DE-627)ELV062454609 (ELSEVIER)S0960-0779(23)00805-6 DE-627 ger DE-627 rda eng 510 VZ 30.20 bkl 31.00 bkl Jiang, Xiaowei verfasserin aut Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. Consensus problems Second-order multi-agent system Impulsive control Saturation constraint Input saturation Zhang, Ni verfasserin aut Li, Bo verfasserin (orcid)0000-0003-4532-3121 aut Zhang, Xianhe verfasserin aut Enthalten in Chaos, solitons & fractals Amsterdam [u.a.] : Elsevier Science, 1991 174 Online-Ressource (DE-627)314118497 (DE-600)2003919-0 (DE-576)094504040 1873-2887 nnns volume:174 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 30.20 Nichtlineare Dynamik VZ 31.00 Mathematik: Allgemeines VZ AR 174 |
| spelling |
10.1016/j.chaos.2023.113904 doi (DE-627)ELV062454609 (ELSEVIER)S0960-0779(23)00805-6 DE-627 ger DE-627 rda eng 510 VZ 30.20 bkl 31.00 bkl Jiang, Xiaowei verfasserin aut Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. Consensus problems Second-order multi-agent system Impulsive control Saturation constraint Input saturation Zhang, Ni verfasserin aut Li, Bo verfasserin (orcid)0000-0003-4532-3121 aut Zhang, Xianhe verfasserin aut Enthalten in Chaos, solitons & fractals Amsterdam [u.a.] : Elsevier Science, 1991 174 Online-Ressource (DE-627)314118497 (DE-600)2003919-0 (DE-576)094504040 1873-2887 nnns volume:174 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 30.20 Nichtlineare Dynamik VZ 31.00 Mathematik: Allgemeines VZ AR 174 |
| allfields_unstemmed |
10.1016/j.chaos.2023.113904 doi (DE-627)ELV062454609 (ELSEVIER)S0960-0779(23)00805-6 DE-627 ger DE-627 rda eng 510 VZ 30.20 bkl 31.00 bkl Jiang, Xiaowei verfasserin aut Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. Consensus problems Second-order multi-agent system Impulsive control Saturation constraint Input saturation Zhang, Ni verfasserin aut Li, Bo verfasserin (orcid)0000-0003-4532-3121 aut Zhang, Xianhe verfasserin aut Enthalten in Chaos, solitons & fractals Amsterdam [u.a.] : Elsevier Science, 1991 174 Online-Ressource (DE-627)314118497 (DE-600)2003919-0 (DE-576)094504040 1873-2887 nnns volume:174 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 30.20 Nichtlineare Dynamik VZ 31.00 Mathematik: Allgemeines VZ AR 174 |
| allfieldsGer |
10.1016/j.chaos.2023.113904 doi (DE-627)ELV062454609 (ELSEVIER)S0960-0779(23)00805-6 DE-627 ger DE-627 rda eng 510 VZ 30.20 bkl 31.00 bkl Jiang, Xiaowei verfasserin aut Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. Consensus problems Second-order multi-agent system Impulsive control Saturation constraint Input saturation Zhang, Ni verfasserin aut Li, Bo verfasserin (orcid)0000-0003-4532-3121 aut Zhang, Xianhe verfasserin aut Enthalten in Chaos, solitons & fractals Amsterdam [u.a.] : Elsevier Science, 1991 174 Online-Ressource (DE-627)314118497 (DE-600)2003919-0 (DE-576)094504040 1873-2887 nnns volume:174 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 30.20 Nichtlineare Dynamik VZ 31.00 Mathematik: Allgemeines VZ AR 174 |
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Jiang, Xiaowei Zhang, Ni Li, Bo Zhang, Xianhe |
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Jiang, Xiaowei |
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10.1016/j.chaos.2023.113904 |
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impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints |
| title_auth |
Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints |
| abstract |
This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. |
| abstractGer |
This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. |
| abstract_unstemmed |
This work focus on the study of consensus problems of nonlinear second-order multi-agent system (MAS). By fully taking performance difference constrained by the locations of communication channel into account, and in view that impulsive control scheme can reduce control costs in some degree, input-saturation and state-saturation are integrated into the design of impulsive consensus control protocol, respectively. By doing that, some sufficient conditions that guarantee the consensus of nonlinear MAS are derived by using Lyapunov stability theory. Finally, by giving two examples, some simulation examples are presented to verify the theoretical results. |
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| title_short |
Impulsive consensus of nonlinear multi-agent systems with input and state saturation constraints |
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