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Content
Volume 29 (2024)
Volume 29, Issue 1 (In Progress)
Pg 1 - 37 (June 2024)
Volume 28 (2023)
Volume 28, Issue 2
Pg 65 - 119 (December 2023)
Volume 28, Issue 1
Pg 1 - 64 (June 2023)
Volume 27 (2022)
Volume 27, Issue 2
Pg 169 - 273 (December 2022)
Volume 27, Issue 1
Pg 1 - 167 (June 2022)
Volume 26 (2021)
Volume 26, Issue 2
Pg 103 - 209 (December 2021)
Volume 26, Issue 1
Pg 1 - 101 (June 2021)
Volume 25 (2020)
Volume 25, Issue 2
Pg 85 - 142 (December 2020)
Volume 25, Issue 1
Pg 1 - 84 (June 2020)
Volume 24 (2019)
Volume 24, Issue 2
Pg 55 - 100 (December 2019)
Volume 24, Issue 1
Pg 1 - 54 (June 2019)
Volume 23 (2018)
Volume 23, Issue 2-3
Pg 73 - 127 (November 2018)
Volume 23, Issue 1
Pg 1 - 72 (May 2018)
Volume 22 (2017)
Volume 22, Issue 4
Pg 193 - 223 (December 2017)
Volume 22, Issue 3
Pg 137 - 191 (September 2017)
Volume 22, Issue 2
Pg 71 - 136 (June 2017)
Volume 22, Issue 1
Pg 1 - 70 (March 2017)
Volume 21 (2016)
Volume 21, Issue 4
Pg 265 - 315 (December 2016)
Volume 21, Issue 3
Pg 187 - 264 (September 2016)
Volume 21, Issue 2
Pg 107 - 185 (June 2016)
Volume 21, Issue 1
Pg 1 - 105 (March 2016)
Volume 20 (2015)
Volume 20, Issue 2
Pg 97 - 188 (December 2015)
Volume 20, Issue 1
Pg 1 - 96 (September 2015)
Volume 19 (2015)
Volume 19, Issue 2
Pg 73 - 169 (June 2015)
Volume 19, Issue 1
Pg 1 - 72 (March 2015)
Volume 18 (2014)
Volume 18, Issue 2
Pg 87 - 169 (December 2014)
Volume 18, Issue 1
Pg 1 - 86 (September 2014)
Volume 17 (2014)
Volume 17, Issue 2
Pg 95 - 188 (June 2014)
Volume 17, Issue 1
Pg 1 - 93 (March 2014)
Volume 16 (2013)
Volume 16, Issue 2
Pg 65 - 123 (December 2013)
Volume 16, Issue 1
Pg 1 - 64 (October 2013)
Volume 15 (2013)
Volume 15, Issue 2
Pg 73 - 111 (August 2013)
Volume 15, Issue 1
Pg 1 - 71 (June 2013)
Volume 14 (2013)
Volume 14, Issue 2
Pg 71 - 132 (April 2013)
Volume 14, Issue 1
Pg 1 - 69 (February 2013)
Volume 13 (2012)
Volume 13, Issue 2
Pg 77 - 142 (December 2012)
Volume 13, Issue 1
Pg 1 - 75 (October 2012)
Volume 12 (2012)
Volume 12, Issue 2
Pg 79 - 143 (August 2012)
Volume 12, Issue 1
Pg 1 - 78 (June 2012)
Volume 11 (2012)
Volume 11, Issue 2
Pg 65 - 129 (April 2012)
Volume 11, Issue 1
Pg 1 - 64 (February 2012)
Volume 10 (2011)
Volume 10, Issue 2
Pg 77 - 139 (December 2011)
Volume 10, Issue 1
Pg 1 - 75 (October 2011)
Volume 9 (2011)
Volume 9, Issue 2
Pg 93 - 197 (August 2011)
Volume 9, Issue 1
Pg 1 - 91 (June 2011)
Volume 8 (2011)
Volume 8, Issue 2
Pg 61 - 124 (April 2011)
Volume 8, Issue 1
Pg 1 - 60 (February 2011)
Volume 7 (2010)
Volume 7, Issue 2
Pg 61 - 119 (December 2010)
Volume 7, Issue 1
Pg 1 - 59 (October 2010)
Volume 6 (2010)
Volume 6, Issue 2
Pg 95 - 179 (August 2010)
Volume 6, Issue 1
Pg 1 - 94 (June 2010)
Volume 5 (2010)
Volume 5, Issue 2
Pg 81 - 179 (April 2010)
Volume 5, Issue 1
Pg 1 - 80 (February 2010)
Volume 4 (2009)
Volume 4, Issue 3
Pg 237 - 355 (October 2009)
Volume 4, Issue 2
Pg 121 - 236 (June 2009)
Volume 4, Issue 1
Pg 1 - 120 (February 2009)
Volume 3 (2008)
Volume 3, Issue 3
Pg 255 - 387 (October 2008)
Volume 3, Issue 2
Pg 131 - 254 (June 2008)
Volume 3, Issue 1
Pg 1 - 129 (February 2008)
Volume 2 (2007)
Volume 2, Issue 3
Pg 217 - 320 (October 2007)
Volume 2, Issue 2
Pg 109 - 216 (June 2007)
Volume 2, Issue 1
Pg 1 - 108 (February 2007)
Volume 1 (2006)
Volume 1, Issue 3
Pg 187 - 271 (October 2006)
Volume 1, Issue 2
Pg 83 - 185 (June 2006)
Volume 1, Issue 1
Pg 1 - 81 (February 2006)
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Advances in Fuzzy Sets and Systems
Advances in Fuzzy Sets and Systems
Volume 3, Issue 1, Pages 99 - 113 (February 2008)
ROBUST
OUTPUT FEEDBACK CONTROL FOR UNCERTAIN FUZZY SYSTEMS WITH IMMEASURABLE PREMISE VARIABLES
Jun Yoneyama (Japan)
Abstract:
This paper discusses robust
output feedback control of Takagi- Sugeno fuzzy systems with immeasurable premise variables. When we consider the output feedback control of Takagi-Sugeno fuzzy systems, the selection of premise variables plays an important role. If the premise variable is the state of the system, then a fuzzy system describes a wide class of nonlinear systems. However, the state is not measurable in the output feedback control problem. In this case, a control design of the underlying nonlinear system based on parallel distributed compensation (PDC) concept is infeasible because a controller depends on the immeasurable state variable. In this paper, we formulate this fuzzy control problem as a robust
control of an uncertain system. Finally, a numerical example is given to illustrate our methods.
Keywords and phrases:
Takagi-Sugeno fuzzy systems, output feedback control, premise variables,
disturbance attenuation, uncertain systems.
Number of Downloads:
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P-ISSN: 0973-421X
Journal Stats
Publication count:
291
Citation count (Google Scholar):
1226
h10-index (Google Scholar):
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h-index (Google Scholar):
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Citations (Google Scholar)/publish articles:
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