Results 261 to 270 of about 112,794 (300)

State Controllers for Stochastic Disturbances

1981
The process model assumed in chapter 8 for the derivation of the state controller for deterministic initial values is now excited by a vector stochastic noise signal v(k) $$ x\left( {k + 1} \right) = Ax\left( k \right) + Bu\left( k \right) + Fu\left( k \right). $$ (15.1.1)
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The Effect of Stochastic Disturbance on the Solitary Waves

2002
This paper is devoted to studying the effect of stochastic disturbance on the kink profile solitary wave solution of the equation: u tt - δu xxt - ku xx + au t + buu t = 0(δ > 0) by using the theory of Markov Skeleton processes established recently by Z.T. Hou, Z.M. Liu and J.Z. Zou [1].
Junping Li, Zhenting Hou, Zaiming Liu, Weiguo Zhang   +3 more
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Composite fault-tolerant control with disturbance observer for stochastic systems with multiple disturbances

Journal of the Franklin Institute, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shixiang Sun, Xinjiang Wei, Huifeng Zhang, Hamid Reza Karimi, Jian Han   +4 more
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Composite hierarchical anti-disturbance control for stochastic systems with multiple heterogeneous disturbances

Transactions of the Institute of Measurement and Control, 2019
This paper studies the problem of anti-disturbance control for a class of stochastic systems with multiple heterogeneous disturbances, which include the white noise and the non-harmonic disturbance with unknown nonlinear function. An adaptive disturbance observer is constructed to estimate the non-harmonic disturbances with unknown nonlinear function,
Yongli Wei, Xinjiang Wei, Huifeng Zhang, Jian Han   +3 more
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Anti-disturbance control based on nonlinear disturbance observer for a class of stochastic systems

Transactions of the Institute of Measurement and Control, 2018
In engineering, there exist lots of nonlinear disturbance dynamics, which can be described by nonlinear exogenous systems. The current stochastic linear disturbance observer is conservative and is not applicable for nonlinear disturbance dynamics. This paper studies a class of stochastic systems with multiple disturbances, including white noise and ...
Lewei Dong, Xinjiang Wei, Huifeng Zhang
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Stochastic Control under Correlated Disturbances

2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2023
Faraz Farahvash, Ao Tang
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Adaptive disturbance observer‐based control for stochastic systems with multiple heterogeneous disturbances

International Journal of Robust and Nonlinear Control, 2019
SummaryAntidisturbance control problem is discussed for stochastic systems with multiple heterogeneous disturbances, which include the white noise and the disturbance with unknown frequencies and amplitudes. An adaptive disturbance observer is designed to estimate the disturbance with unknown frequencies and amplitudes, based on which, an adaptive ...
Xinjiang Wei, Lewei Dong, Huifeng Zhang, Xin Hu, Jian Han   +4 more
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Disturbance observer-based anti-disturbance control for a class of stochastic systems

2015 34th Chinese Control Conference (CCC), 2015
This paper proposes a disturbance observer-based anti-disturbance control strategy for a class of stochastic systems subject to two kinds of disturbances. One represents the stochastic disturbance with partially-known information. The other is an independent Wiener process.
Wei Xinjiang, Guo Zhenkai, Tang Meiqin, Liu Xiaohua   +3 more
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Alternative Tests of Independence between Stochastic Regressors and Disturbances

Econometrica, 1973
IN TESTING HYPOTHESES on the coefficients of a linear regression model with stochastic regressors it is well known that the usual t test and F test are applicable if the stochastic regressors are statistically independent of the disturbances [3, p. 268; 5, pp. 27-28].
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Dead time and processes with stochastic disturbances

15th Annual Conference of IEEE Industrial Electronics Society, 2003
To control processes with unknown or variable dead time, it is important to estimate the dead time in real time. In the present work, adaptive control systems with reference models, where the estimation of the dead time in the batch processing model is considered, are studied.
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