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Synchronization of coupled switched neural networks subject to hybrid stochastic disturbances
Neural Networks, 2023Shiping Wen +2 more
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Minimum Variance Controllers for Stochastic Disturbances
1981In the design of minimum variance controllers the variance of the controlled variable $${\mathop{\rm var}} \left[ {y\left( k \right)} \right] = E\left\{ {{y^2}\left( k \right)} \right\}$$ is minimized. This criterion was used in [12.4] by assuming a noise filter given by (12.2.31) but with C(z −1) = A(z −1). The manipulated variable u(k) was not
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Parameter-optimized Controllers for Stochastic Disturbances
1981The parameter-optimized control algorithms given in chapter 5 can be modified to include stochastic disturbance signals n(k) by using the quadratic performance criterion $$S_{eu}^2 = \sum\limits_{k = 1}^M {\left[ {{e^2}\left( k \right) + rK_p^2\Delta {u^2}\left( k \right)} \right]} $$ (13.1) if the disturbance signals are known.
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022
Chufen Wu, Bao-Zhu Guo, Feiqi Deng
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Chufen Wu, Bao-Zhu Guo, Feiqi Deng
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Optimal State Estimation of Boolean Control Networks With Stochastic Disturbances
IEEE Transactions on Cybernetics, 2020Yuqian Guo, Qunming Li, Weihua Gui
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Coordinated tracking of linear multiagent systems with input saturation and stochastic disturbances
ISA Transactions, 2017Changyin Sun, Qingling Wang
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