An LMI-based H infinity fuzzy control system design with TS framework Academic Article

abstract

• This paper proposes a systematic design methodology for Takagi-Sugeno (TS) model based fuzzy control systems with guaranteed H performance and additional constraints on the closed-loop pole locations. These objectives are formulated in terms of a convex optimization problem involving linear matrix inequality (LMI). To demonstrate its usefulness, the proposed design methodology is applied to the problem of robust regulation of a nonlinear magnetic bearing system. Experimental and simulation results show that the proposed fuzzy controller yields the optimal disturbance rejection performance and the desired transient response characteristics.

authors

• Langari, Gholamreza

published proceedings

• INFORMATION SCIENCES

author list (cited authors)

• Hong, S. K., & Langari, R.

citation count

• 73

complete list of authors

• Hong, SK||Langari, R

publication date

• April 2000

publisher

• Elsevier  Publisher

published in

• n0020-0255ISSN  Journal

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics
• 4010 Engineering Practice And Education
• 49 Mathematical Sciences
• 4901 Applied Mathematics

Digital Object Identifier (DOI)

• 10.1016/S0020-0255(99)00131-0

start page

• 163

end page

• 179

volume

• 123

issue

• 3-4

URL

• http://dx.doi.org/10.1016/s0020-0255(99)00131-0