【正文】 0 . 60 . 8tu(t) . State responses of system . Control trajectory of system 5 Conclusions In this paper, a new and simple approach for designing a fuzzy static output feedback controller for the discretetime fuzzy bilinear system is presented. The result is formulated in terms of a set of LMIbased conditions. By the proposed approach, the local output matrices are not necessary to be the same. Thus, the constraints had been relaxed and applicability of the static output feedback is increased. References [1] Wang R J, Lin W W and Wang W J. Stabilizability of linear quadratic state feedback for uncertain fuzzy timedelay systems [J]. IEEE Trans. Syst., Man, and Cybe., 2020, 34(2):12881292. [2] Cao Y Y and Frank P M. Analysis and synthesis of nonlinear timedelay systems via fuzzy control approach [J]. IEEE Trans. Fuzzy Syst., 2020, 18(2): 200211. [3] Yoneyama J. Robust stability and stabilization for uncertain TakagiSugeno fuzzy timedelay systems [J]. Fuzzy Sets and Syst., 2020, 158(4): 115134. [4] Shi X Y and Gao Z W. Stability analysis for fuzzy descriptor systems [J]. Systems Engineering and Electronics, 2020, 27(6):10871089. (In Chinese) [5] Jiang X F and Han Q L. On designing fuzzy controllers for a class of nonlinear worked control systems[J]. IEEE Trans. Fuzzy Syst., 2020, 16(4): 10501060. [6] Lin C, Wang Q G, Lee T H, et al. Design of observerbased H∞ control for fuzzy timedelay systems[J]. IEEE Trans. Fuzzy Syst., 2020, 16(2): 534543. [7] Kim S H and Park P G. Observerbased relaxed H∞ control for fuzzy systems using a multiple Lyapunov function[J]. IEEE Trans. Fuzzy Syst., 2020, 17(2): 476484. [8] Zhang Y S, Xu S Y and Zhang B Y. Robust output feedback stabilization for uncertain discretetime fuzzy markovian jump systems with timevarying delays[J]. IEEE Trans. Fuzzy Syst., 2020, 17(2): 411420. [9] Chang Y C, Chen S S, Su S F, et al. Static output feedback stabilization for nonlinear interval timedelay systems via fuzzy control approach [J]. Fuzzy Sets and Syst., 2020, 148(3): 395410. [10] Chen S S, Chang Y C, Su S F, et al. Robust static outputfeedback stabilization for nonlinear discretetime systems with time delay via fuzzy control approach[J]. IEEE Trans. Fuzzy Syst., 2020, 13(2): 263272. [11] Huang D and Nguang S K. Robust H∞ static output feedback control of fuzzy systems: a LMIs approach [J]. IEEE Trans. Syst., Man, and Cybe., 2020, 36: 216222. [12] Mohler R R. Nonlinear systems: Application to Bilinear control [M]. Englewood Cliffs, NJ: PrenticeHall, 1991 [13] Dong M and Gao Z W. H∞ faulttolerant control for singular bilinear systems related to output feedback[J]. Systems Engineering and Electronics, 2020, 28(12):18661869. (In Chinese) [14] Li T H S and Tsai S H. TS fuzzy bilinear model and fuzzy controller design for a class of nonlinear systems [J]. IEEE Trans. Fuzzy Syst., 2020, 3(15):494505. [15] Tsai S H and Li T H S. Robust fuzzy control of a class of fuzzy bilinear systems with timedelay [J]. Chaos, Solitons and Fractals (2020), doi: . [16] Li T H S, Tsai S H, et al, Robust H∞ fuzzy control for a class of uncertain discrete fuzzy bilinear systems [J]. IEEE Trans. Syst., Man, and Cybe., 2020, 38(2) : 510526. 離散模糊雙線性系統(tǒng)的靜態(tài)輸出反饋控制 摘要 ：研究了一類離散模糊雙線性系統(tǒng) (DFBS)的靜態(tài)輸出反饋控制問題。 中文 2094 字 外文資料翻譯 Static Output Feedback Control for Discretetime Fuzzy Bilinear System Abstract The paper addressed the problem of designing fuzzy static output feedback controller for TS discretetime fuzzy bilinear system (DFBS). Based on parallel distribute pensation 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 parison 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 discretetime fuzzy bilinear system (DFBS)。 linear matrix inequality (LMI) 1 Introduction It is well known that TS 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 IFTHEN rules. Based on TS 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 observerbased 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 pletely available for feedback. The static output feedback control for fuzzy systems with timedelay was addressed [9][10] and a robust