Analysis of gain scheduled control for nonlinear plants
Gain scheduling has proven to be a successful design methodology in many engineering applications. In the absence of a sound theoretical analysis, these designs come with no guarantees of the robustness, performance, or even nominal stability of the overall gain-scheduled design. An analysis is pres...
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| Veröffentlicht in: | IEEE transactions on automatic control 1990-08, Vol.35 (8), p.898-907 |
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| container_title | IEEE transactions on automatic control |
| container_volume | 35 |
| creator | Shamma, J.S. Athans, M. |
| description | Gain scheduling has proven to be a successful design methodology in many engineering applications. In the absence of a sound theoretical analysis, these designs come with no guarantees of the robustness, performance, or even nominal stability of the overall gain-scheduled design. An analysis is presented for two types of nonlinear gain-scheduled control systems: (1) scheduling on a reference trajectory, and (2) scheduling on the plant output. Conditions which guarantee stability, robustness, and performance properties of the global gain schedule designs are given. These conditions confirm and formalize popular notions regarding gain scheduled designs, such as that the scheduling variable should vary slowly, and capture the plant's nonlinearities.< > |
| doi_str_mv | 10.1109/9.58498 |
| format | Article |
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Systems</subject><subject>Cybernetics</subject><subject>Design engineering</subject><subject>Design methodology</subject><subject>Exact sciences and technology</subject><subject>Feedback</subject><subject>Performance analysis</subject><subject>Performance gain</subject><subject>Processor scheduling</subject><subject>Robust stability</subject><subject>Stability analysis</subject><issn>0018-9286</issn><issn>1558-2523</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><sourceid>CYI</sourceid><recordid>eNqNkEtLAzEUhYMoWKu4FlzMRl1NTTJ5LkvxBQU33Yckk-hImtRkuui_d-oUXerqcjnfPedyALhEcIYQlPdyRgWR4ghMEKWixhQ3x2ACIRK1xIKdgrNSPoaVEYImgM-jDrvSlSr56k13sSr23bXb4NrKptjnFCqfchVTDF10OleboGNfzsGJ16G4i8OcgtXjw2rxXC9fn14W82VtCUV9zZlBVDPtjGuZNE5j7qFExGDTQGREg4xnyEAohYatNhQ7aAQTmLfEC9tMwe1ou8npc-tKr9ZdsS4MP7i0LQoLSXlD8D9A0mBC2d8g5RxKvHe8G0GbUynZebXJ3VrnnUJQ7ZtWUn03PZA3B0tdrA4-62i78otLzokg--jrkYu6aDV0WwZNQggZgVgO8tUod865n-sx4gsg7IyV</recordid><startdate>19900801</startdate><enddate>19900801</enddate><creator>Shamma, J.S.</creator><creator>Athans, M.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>CYE</scope><scope>CYI</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>FR3</scope><scope>JQ2</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19900801</creationdate><title>Analysis of gain scheduled control for nonlinear plants</title><author>Shamma, J.S. ; Athans, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-76b15a6aebed69bea27f0914b2b301b831bf61b0098a0dab52e0b86827d4f8c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Acoustical engineering</topic><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Control system analysis</topic><topic>Control systems</topic><topic>Control theory. 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| ispartof | IEEE transactions on automatic control, 1990-08, Vol.35 (8), p.898-907 |
| issn | 0018-9286 1558-2523 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Acoustical engineering Applied sciences Computer science control theory systems Control system analysis Control systems Control theory. Systems Cybernetics Design engineering Design methodology Exact sciences and technology Feedback Performance analysis Performance gain Processor scheduling Robust stability Stability analysis |
| title | Analysis of gain scheduled control for nonlinear plants |
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