Results 261 to 270 of about 33,178 (299)
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Journal of the Franklin Institute, 2017
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Huifeng Zhang +3 more
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Huifeng Zhang +3 more
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Improvement of disturbance suppression based on disturbance observer
9th IEEE International Workshop on Advanced Motion Control, 2006., 2006This research focuses on improvement of disturbance suppression even under existence of observation noise. Disturbance observer is an effective tool to estimate and compensate disturbance. There is a problem, however, that it cannot accomplish desired disturbance suppression when a large observation noise exists.
M. Mizuochi, T. Tsuji, K. Ohnishi
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Journal of the Franklin Institute, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang H., Wei X., Karimi H. R., Han J.
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Zhang H., Wei X., Karimi H. R., Han J.
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Fault diagnosis with disturbance rejection performance based on disturbance observer
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009In this paper, a new fault diagnosis approach presented for a class of non-linear systems with external urbances. The unknown disturbances are supposed to be rated by an exogenous system, where some classical assumptions on disturbances can be removed.
Songyin Cao, Lei Guo 0003
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Noise Reduction Disturbance Observer for Disturbance Attenuation and Noise Suppression
IEEE Transactions on Industrial Electronics, 2017In most research works on the disturbance observer (DOB)-based controller, stability conditions are only sufficient and not effective for handling large uncertainties. To deal with large uncertainties, a necessary and sufficient condition for robust stability has been recently provided by utilizing a novel design technique for the Q -filter. Although
Nam Hoon Jo +2 more
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A survey of state and disturbance observers for practitioners
2006 American Control Conference, 2006This paper gives a unified and historical review of observer design for the benefit of practitioners. It is unified in the sense that all observers are examined in terms of: 1) the assumed dynamic structure of the plant; 2) the required information, including the input signals and modeling information of the plant; and 3) the implementation equation of
Aaron Radke, Zhiqiang Gao
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Integral action — A disturbance observer approach
2003 European Control Conference (ECC), 2003Integral action is required in many controllers in order to solve real world problems. Modeling errors and disturbances are examples of issues that can be dealt with by using controllers with integral action. This paper explores the use of disturbance observers to introduce integral action into an output feedback controller. In particular, the proposed
Johan Åkesson, Per Hagander
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An observer with controller to detect and reject disturbances
International Journal of Control, 2013In this paper, a novel states observer is designed. This observer not only estimates the states, but also detects the disturbances by creating estimated signals. Then, both the observed states and detected disturbances are used in a control law to reject the disturbances, avoiding the requirement to know the states and disturbances.
José de Jesús Rubio +2 more
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Fuzzy controllers with/without disturbance observer
2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016A so-called lumped disturbance is considered in the T-S fuzzy model of the system to be controlled. Under the circumstances, this paper proposes two controllers, in which one is designed only on the basis of the control system stability, and the other is designed on the basis of both the control system stability and a proposed disturbance observer ...
Xiaodong Zhang 0023 +2 more
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2017
The book reviews developments in the following fields: disturbance observer control; continuous-time disturbance observer; SISO disturbance observer; discrete-time disturbance observer; MIMO disturbance observer; and communication disturbance observer.
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The book reviews developments in the following fields: disturbance observer control; continuous-time disturbance observer; SISO disturbance observer; discrete-time disturbance observer; MIMO disturbance observer; and communication disturbance observer.
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