A Tool for the Global Stabilization of Stochastic Nonlinear Systems
This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlin...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bian, Tao [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on automatic control - New York, NY : Inst., 1963, 62(2017), 4, Seite 1946-1951 |
|---|---|
| Übergeordnetes Werk: |
volume:62 ; year:2017 ; number:4 ; pages:1946-1951 |
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| DOI / URN: |
10.1109/TAC.2016.2589547 |
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| 520 | |a This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. | ||
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| 650 | 4 | |a Stability criteria | |
| 650 | 4 | |a Feedback control | |
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| 650 | 4 | |a Nonlinear systems | |
| 650 | 4 | |a Closed loop systems | |
| 650 | 4 | |a Robustness | |
| 650 | 4 | |a Gain assignment | |
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| 700 | 1 | |a Jiang, Zhong-Ping |4 oth | |
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10.1109/TAC.2016.2589547 doi PQ20170501 (DE-627)OLC1991838875 (DE-599)GBVOLC1991838875 (PRQ)c1060-984d060caae9df1d3c4a7ed49bb76fc6ae3f04aaf4c6878abd490119436f70570 (KEY)0005057120170000062000401946toolfortheglobalstabilizationofstochasticnonlinear DE-627 ger DE-627 rakwb eng 620 DNB Bian, Tao verfasserin aut A Tool for the Global Stabilization of Stochastic Nonlinear Systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. stabilization stochastic input-to-state stability Stability criteria Feedback control Numerical stability Nonlinear systems Closed loop systems Robustness Gain assignment Stochastic systems stochastic nonlinear systems Jiang, Zhong-Ping oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 62(2017), 4, Seite 1946-1951 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:62 year:2017 number:4 pages:1946-1951 http://dx.doi.org/10.1109/TAC.2016.2589547 Volltext http://ieeexplore.ieee.org/document/7508405 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 62 2017 4 1946-1951 |
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10.1109/TAC.2016.2589547 doi PQ20170501 (DE-627)OLC1991838875 (DE-599)GBVOLC1991838875 (PRQ)c1060-984d060caae9df1d3c4a7ed49bb76fc6ae3f04aaf4c6878abd490119436f70570 (KEY)0005057120170000062000401946toolfortheglobalstabilizationofstochasticnonlinear DE-627 ger DE-627 rakwb eng 620 DNB Bian, Tao verfasserin aut A Tool for the Global Stabilization of Stochastic Nonlinear Systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. stabilization stochastic input-to-state stability Stability criteria Feedback control Numerical stability Nonlinear systems Closed loop systems Robustness Gain assignment Stochastic systems stochastic nonlinear systems Jiang, Zhong-Ping oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 62(2017), 4, Seite 1946-1951 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:62 year:2017 number:4 pages:1946-1951 http://dx.doi.org/10.1109/TAC.2016.2589547 Volltext http://ieeexplore.ieee.org/document/7508405 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 62 2017 4 1946-1951 |
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10.1109/TAC.2016.2589547 doi PQ20170501 (DE-627)OLC1991838875 (DE-599)GBVOLC1991838875 (PRQ)c1060-984d060caae9df1d3c4a7ed49bb76fc6ae3f04aaf4c6878abd490119436f70570 (KEY)0005057120170000062000401946toolfortheglobalstabilizationofstochasticnonlinear DE-627 ger DE-627 rakwb eng 620 DNB Bian, Tao verfasserin aut A Tool for the Global Stabilization of Stochastic Nonlinear Systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. stabilization stochastic input-to-state stability Stability criteria Feedback control Numerical stability Nonlinear systems Closed loop systems Robustness Gain assignment Stochastic systems stochastic nonlinear systems Jiang, Zhong-Ping oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 62(2017), 4, Seite 1946-1951 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:62 year:2017 number:4 pages:1946-1951 http://dx.doi.org/10.1109/TAC.2016.2589547 Volltext http://ieeexplore.ieee.org/document/7508405 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 62 2017 4 1946-1951 |
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10.1109/TAC.2016.2589547 doi PQ20170501 (DE-627)OLC1991838875 (DE-599)GBVOLC1991838875 (PRQ)c1060-984d060caae9df1d3c4a7ed49bb76fc6ae3f04aaf4c6878abd490119436f70570 (KEY)0005057120170000062000401946toolfortheglobalstabilizationofstochasticnonlinear DE-627 ger DE-627 rakwb eng 620 DNB Bian, Tao verfasserin aut A Tool for the Global Stabilization of Stochastic Nonlinear Systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. stabilization stochastic input-to-state stability Stability criteria Feedback control Numerical stability Nonlinear systems Closed loop systems Robustness Gain assignment Stochastic systems stochastic nonlinear systems Jiang, Zhong-Ping oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 62(2017), 4, Seite 1946-1951 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:62 year:2017 number:4 pages:1946-1951 http://dx.doi.org/10.1109/TAC.2016.2589547 Volltext http://ieeexplore.ieee.org/document/7508405 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 62 2017 4 1946-1951 |
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10.1109/TAC.2016.2589547 doi PQ20170501 (DE-627)OLC1991838875 (DE-599)GBVOLC1991838875 (PRQ)c1060-984d060caae9df1d3c4a7ed49bb76fc6ae3f04aaf4c6878abd490119436f70570 (KEY)0005057120170000062000401946toolfortheglobalstabilizationofstochasticnonlinear DE-627 ger DE-627 rakwb eng 620 DNB Bian, Tao verfasserin aut A Tool for the Global Stabilization of Stochastic Nonlinear Systems 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. stabilization stochastic input-to-state stability Stability criteria Feedback control Numerical stability Nonlinear systems Closed loop systems Robustness Gain assignment Stochastic systems stochastic nonlinear systems Jiang, Zhong-Ping oth Enthalten in IEEE transactions on automatic control New York, NY : Inst., 1963 62(2017), 4, Seite 1946-1951 (DE-627)129601705 (DE-600)241443-0 (DE-576)015095320 0018-9286 nnns volume:62 year:2017 number:4 pages:1946-1951 http://dx.doi.org/10.1109/TAC.2016.2589547 Volltext http://ieeexplore.ieee.org/document/7508405 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_11 GBV_ILN_70 GBV_ILN_120 GBV_ILN_193 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2333 GBV_ILN_4193 AR 62 2017 4 1946-1951 |
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This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. |
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This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. |
| abstract_unstemmed |
This technical note investigates the robust global stabilization problem for nonlinear systems subject to dynamic and stochastic disturbance, from the perspective of stochastic input-to-state stability. A new stochastic gain assignment method is developed. This method can be combined with the nonlinear small-gain theorem to design partial-state feedback controllers for stochastic nonlinear systems. A numerical example is given to illustrate the effectiveness of the proposed method. |
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| title_short |
A Tool for the Global Stabilization of Stochastic Nonlinear Systems |
| url |
http://dx.doi.org/10.1109/TAC.2016.2589547 http://ieeexplore.ieee.org/document/7508405 |
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Jiang, Zhong-Ping |
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| doi_str |
10.1109/TAC.2016.2589547 |
| up_date |
2024-07-04T03:44:04.948Z |
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