Results 211 to 220 of about 31,142 (263)
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IFAC Proceedings Volumes, 1990
Abstract A class of linguistic controllers is derived using the combination of classical PID (proportional-integra l -derivative) control ideas and fuzzy set theory. Six different types of such controllers are proposed and their basic characteristics investigated and discussed.
D.P. Kwok, P. Tam, C.K. Li, P. Wang
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Abstract A class of linguistic controllers is derived using the combination of classical PID (proportional-integra l -derivative) control ideas and fuzzy set theory. Six different types of such controllers are proposed and their basic characteristics investigated and discussed.
D.P. Kwok, P. Tam, C.K. Li, P. Wang
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IEE Proceedings - Control Theory and Applications, 2001
The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at ...
Katebi, M.R., Moradi, M.H.
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The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at ...
Katebi, M.R., Moradi, M.H.
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2011
An effective and simple way of designing a two-degree-of-freedom control scheme for an integral process is to employ an inner feedback loop in order mainly to stabilise the system and then an outer feedback loop in order to provide the required performance. Different methods have been proposed in the literature for the design and tuning of this control
Antonio Visioli, Qing-Chang Zhong
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An effective and simple way of designing a two-degree-of-freedom control scheme for an integral process is to employ an inner feedback loop in order mainly to stabilise the system and then an outer feedback loop in order to provide the required performance. Different methods have been proposed in the literature for the design and tuning of this control
Antonio Visioli, Qing-Chang Zhong
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2005
This chapter looks at predictive PID ...
Johnson, M.A., Moradi, M., Katebi, M.R.
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This chapter looks at predictive PID ...
Johnson, M.A., Moradi, M., Katebi, M.R.
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Cervical cancer prevention and control in women living with human immunodeficiency virus
Ca-A Cancer Journal for Clinicians, 2021Philip E Castle, Vikrant V Sahasrabuddhe
exaly
2016
A proportional, integral and derivative (PID) controller is a simple yet versatile feedback compensator that is widely used in industrial control systems. This chapter presents the effect of each PID component on the closed-loop dynamics of a feedback-controlled system. Afterward, we address different PID tuning methods.
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A proportional, integral and derivative (PID) controller is a simple yet versatile feedback compensator that is widely used in industrial control systems. This chapter presents the effect of each PID component on the closed-loop dynamics of a feedback-controlled system. Afterward, we address different PID tuning methods.
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IEE Proceedings - Control Theory and Applications, 2002
null Isaksson, null Hägglund
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null Isaksson, null Hägglund
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2017
For any industrial furnaces, it is important to monitor and control temperature. The function and purpose of these temperature control devices might be different, but they all follow the same design concept, which is to construct a control loop to reach the preset temperature.
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For any industrial furnaces, it is important to monitor and control temperature. The function and purpose of these temperature control devices might be different, but they all follow the same design concept, which is to construct a control loop to reach the preset temperature.
openaire +1 more source