Results 131 to 140 of about 12,554 (169)

Optimal Performance in Tracking Stochastic Signal Under Disturbance Rejection

Asian Journal of Control, 2012
AbstractThe analysis method of optimal tracking performance is proposed for multiple‐input multiple‐output (MIMO) linear time‐invariant (LTI) systems under disturbance rejection. AnH2criterion of the error signal between the output of the plant and the reference signal is used as a measure for the tracking performance. Spectral factorization is applied
Zhan, Xi-Sheng, Guan, Zhi-Hong, Liao, Rui-Quan, Yuan, Fu-Shun   +3 more
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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
openaire   +1 more source

Adaptive Tracking Control for Mobile Manipulators with Stochastic Disturbances

Journal of Systems Science and Complexity, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sun, Wei, Xia, Jianwei, Wu, Yuqiang
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Minimum Variance Controllers for Stochastic Disturbances

1981
In 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
openaire   +1 more source

Optimal Robust System Identification: Bounded Stochastic Disturbances

IFAC Proceedings Volumes, 1996
Abstract In this contribution we show that log cos(π x /(2 C )) is the optimally robust norm for predicition error methods with respect to bounded stochastic disturbances. This norm minimizes the maximum asymptotic covariance matrix of the parameter estimates for the family of prediction errors which are white and amplitude bounded by the constant C
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Stability of Structures under Stochastic Disturbances

1971
This paper examines certain problems in the stability of elastic structures when the external loads fluctuate in a stochastic manner. The study is important for two reasons. First, there exist many examples of loads such as those generated by jet and rocket engines, earthquakes, wind gusts, etc., that cannot be adequately described by deterministic ...
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Analysis of SD systems under stochastic disturbances

2000
In this section we consider the system shown in Figure 15.1, where G(s) and F(s) are transfer functions of LTI elements, and C is a computer described by Eqs. (10.1)–(10.3). For concreteness, we shall assume that all the characteristic indices \({{\tilde{\mu }}_{1}}, \ldots ,{{\tilde{\mu }}_{r}}\) of the system are negative, though, in principle, all ...
Efim N. Rossenwasser, Bernhard P. Lampe
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Voltage Regulation Improved by Stochastic Disturbance Compensation

2024 3rd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)
The aim of this paper is the functional integration of a load compensation logic into the secondary voltage regulation strategy. The objective is to integrate FACTS devices into the control strategy for compensating for fast variations of load power while controlling the generators in the traditional way, as if the load variations were zero.
Chiodo E., Di Palma P., Fantauzzi M., Lauria D., Mottola F., Villacci D.   +5 more
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Parameter-optimized Controllers for Stochastic Disturbances

1981
The 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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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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