• Title/Summary/Keyword: Finite alphabet control

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Design of the PID Controller Using Finite Alphabet Optimization (유한 알파벳 PID제어기 설계)

  • Yang, Yun-Hyuck;Kwon, Oh-Kyu
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.647-649
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    • 2004
  • When a controller is implemented by a one-chip processor with fixed-point operations, the finite alphabet problem usually occurs since parameters and signals should be taken in a finite set of values. This paper formulates PID finite alphabet PID control problem which combines the PID controller with the finite alphabet problem. We will propose a PID parameter tuning method based on an optimization algorithm under the finite alphabet condition. The PID parameters can be represented by a fixed-point representation, and then the problem is formulated as an optimization with constraints that parameters are taken in the finite set. Some simulation are to be performed to exemplify the performance of the PID parameter tuning method proposed in this paper.

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Finite Alphabet Control and Estimation

  • Goodwin, Graham C.;Quevedo, Daniel E.
    • International Journal of Control, Automation, and Systems
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    • v.1 no.4
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    • pp.412-430
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    • 2003
  • In many practical problems in signal processing and control, the signal values are often restricted to belong to a finite number of levels. These questions are generally referred to as "finite alphabet" problems. There are many applications of this class of problems including: on-off control, optimal audio quantization, design of finite impulse response filters having quantized coefficients, equalization of digital communication channels subject to intersymbol interference, and control over networked communication channels. This paper will explain how this diverse class of problems can be formulated as optimization problems having finite alphabet constraints. Methods for solving these problems will be described and it will be shown that a semi-closed form solution exists. Special cases of the result include well known practical algorithms such as optimal noise shaping quantizers in audio signal processing and decision feedback equalizers in digital communication. Associated stability questions will also be addressed and several real world applications will be presented.