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• W4281720717 abstract "• Congruence transformation method and Schur complement are employed to determine the controller gain matrices. • (2) Cone complementarity linearization algorithm is constructed to convert controller design problem into minimization constraints. • (3) Stochastic Bernoulli theory is employed to describe characteristics of random occurrence for packet dropouts in signal transmission network. The stochastic Takagi-Sugeno (T-S) fuzzy discrete dynamic output feedback control is investigated for a class of stochastic T-S fuzzy discrete networked control systems. Firstly, the T-S fuzzy model and stochastic Bernoulli theory are employed to approximate the discrete system plant. Secondly, the T-S fuzzy model and stochastic Bernoulli theory are employed to design the stochastic T-S fuzzy discrete dynamic output feedback controller. Thirdly, the stochastic Bernoulli theory is employed to describe the characteristics of random occurrence for multipath packet dropouts. The delay-dependent discrete Lyapunov functional and Schur complement are employed, the closed-loop system is stochastically finite-time bounded stable subject to ( c 1 , c 2 , ω ¯ , N , R ) . The Schur complement and congruence transformation matrix are introduced to determine controller gain matrices. The cone complementarity linearization is applied to convert controller design into nonlinear minimization constraints for solving the nonconvex problem caused by fuzzy-basis-dependent LMIs. Simulations are given to show the effectiveness of proposed methods." @default.
• W4281720717 created "2022-06-13" @default.
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• W4281720717 date "2022-10-01" @default.
• W4281720717 modified "2023-09-28" @default.
• W4281720717 title "Stability analysis and robust controller design for systems with mixed time-delays and stochastic nonlinearity via cone complementarity linearization" @default.
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• W4281720717 doi "https://doi.org/10.1016/j.amc.2022.127252" @default.
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