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模糊控制器设计外文资料翻译模糊控制器设计外文资料翻译
外文资料翻译 Static Output Feedback Control for Discrete-time Fuzzy Bilinear System Abstract The paper addressed the problem of designing fuzzy static output feedback controller for T-S discrete-time fuzzy bilinear system (DFBS). Based on parallel distribute compensation method, some sufficient conditions are derived to guarantee the stability of the overall fuzzy system. The stabilization conditions are further formulated into linear matrix inequality (LMI) so that the desired controller can be easily obtained by using the Matlab LMI toolbox. In comparison with the existing results, the drawbacks such as coordinate transformation, same output matrices have been eliminated. Finally, a simulation example shows that the approach is effective. Keywords discrete-time fuzzy bilinear system (DFBS); static output feedback control; fuzzy control; linear matrix inequality (LMI) 1 Introduction It is well known that T-S fuzzy model is an effective tool for control of nonlinear systems where the nonlinear model is approximated by a set of linear local models connected by IF-THEN rules. Based on T-S model, a great number of results have been obtained on concerning analysis and controller design[1]-[11]. Most of the above results are designed based on either state feedback control or observer-based control[1]-[7].Very few results deal with fuzzy output feedback[8]-[11]. The scheme of static output feedback control is very important and must be used when the system states are not completely available for feedback. The static output feedback control for fuzzy systems with time-delay was addressed [9][10] and a robust H∞ controller via static output feedback was designed[11]. But the derived conditions are not solvable by the convex programming technique since they are bilinear matrix inequality problems. Moreover, it is noted that all of the aforementioned fuzzy systems were based on the T-S fuzzy model with linear rule consequence. Bilinear systems exist between nonlinear and line
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