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Deadbeat controller for SOPDT processes

2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 2016
A deadbeat controller for second order plus dead time (SOPDT) process is proposed in this paper. A proportional integral and derivative (PID) controller is designed using Smith predictor to compensate the dead time of the process. The control parameters are estimated using the property of digital deadbeat controller, and gain and phase margin criteria.
Sujit Mohapatra, Prabin Kumar Padhy
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A special control law: deadbeat control

1995
Most of the methods we have considered so far have their origins in linear control laws for systems described by linear constant coefficient differential equations, with sampled data control studied by adapting those theories. Even in the nominally linear control law realm, however, it is possible to develop a special and interesting performance ...
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Ripple-free deadbeat control

IEEE Control Systems, 1993
The problem of tracking a continuous reference signal in a deadbeat fashion for continuous time-invariant single-input-single-output linear systems is considered. A design procedure for a causal controller under which the output of the closed-loop system coincides with the given reference input after finite time is presented.
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Robust ripple-free deadbeat control design

International Journal of Control, 1999
This paper deals with the design of ripple-free deadbeat controllers with performance or performance robustness optimized over controllers within a prescribed settling time. The performance objective of interest is the minimization of the maximum absolute tracking error. This leads to consider linfinity optimization problems.
CASAVOLA, Alessandro, Mosca E, Zecca P.
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Deadbeat predictive controller: a system identification approach

Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003
A deadbeat predictive controller designed from input/output relationship of a linear system is presented in this paper. The method exploits an observable canonical form representation of the system under identification, and combines together the concepts of system identification and predictive controller design. There are two design parameters involved
Sinchai Chinvorarat, Marco P. Schoen
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Optimization of control input for deadbeat control systems

International Journal of Control, 1994
The aim of this paper is to deal with the problem of excessive control magnitude with deadbeat control systems. By the use of the transfer-function factorization approach, all stabilizing deadbeat controls are characterized in terms of control input. A formula is derived for the optimal control that minimizes the control input error for the specified ...
YAO ZHAO, HIDENORI KIMURA
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Effectiveness of Multirate Input Control in Deadbeat Servomechanism

European Journal of Control, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Deadbeat vs. pole-free perfect control

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019
In this paper an overview of various state feedback-based control strategies is presented. Five different scenarios are considered in this extensive research study. It is shown, that the widely known deadbeat control problem can be understood and solved in different manners. Moreover, the so-called pole-free perfect control instance turned out to have,
Marek Krok, Wojciech P. Hunek
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A unitary method for deadbeat control

1984
In this paper we give a numerical method to perform deadbeat control on a multi input system. The method constructs, in a recursive manner, a unitary state-space transformation yielding a coordinate system in which the feedback matrix is computed by merely solving a set of linear equations.
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Feedback Deadbeat Control of 2-Dimensional Systems

1984
Summary: Deadbeat control is among the most popular types of control for 1- dimensional discrete-time systems. Here the problem of designing deadbeat controllers is considered and solved for the case of 2-dimensional (2D) systems. Two important cases are examined.
Tzafestas, S. G., Theodorou, N. J.
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