Search Results - "De B. Araujo, Rejane"

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  1. 1

    Filtered predictive control design using multi-objective optimization based on genetic algorithm for handling offset in chemical processes by Araújo, Rejane de B., Coelho, Antonio A.R.

    Published in Chemical engineering research & design (01-01-2017)
    “…[Display omitted] •GPC using multi-objective optimization for handling offset in chemical processes.•Filtered predictive control to deal with offset in…”
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    Journal Article
  2. 2

    Unrestricted horizon predictive control applied to a nonlinear SISO system by de Castro, Luís A. M., Silveira, Antonio da S., Araújo, Rejane de B.

    “…This paper presents the mathematical formalism, design and evaluation of a minimum order unrestricted horizon predictive control (UHPC) predictive applied to…”
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    Journal Article
  3. 3

    Hybridization of IMC and PID control structures based on filtered GPC using genetic algorithm by Araújo, Rejane De B., Coelho, Antonio A. R.

    Published in Computational & applied mathematics (01-05-2018)
    “…Classical and advanced hybridization methods are employed in the control literature to calibrate the tuning parameters of internal model control (IMC) and…”
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    Journal Article
  4. 4

    MIMO filtered positional generalized predictive controller design for handling offset by De B. Araujo, Rejane, Coelho, Antonio A.R., Barra, Walter

    “…The purpose of this paper is to present an alternative synthesis for the Generalized Predictive Controller (GPC) applied to a multiple-input multiple-output…”
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    Conference Proceeding
  5. 5

    Repetitive generalized minimum variance controller design for reference tracking and periodic disturbance rejection by De B. Araujo, Rejane, Durandal, Edwin C., Rosa, Guilherme A., Coelho, Antonio A. R.

    “…In this paper we present two linear filtered positional GMV control designs using the indirect and repetitive control approaches to cope with setpoint changes…”
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    Conference Proceeding
  6. 6

    Model free adaptive control under Sigmoid Function and newton method for estimation of the pseudo-partial-derivative in nonlinear systems by Durandal, Edwin C., Rosa, Guilherme A., De B Araujo, Rejane, Coelho, Antonio A. R.

    “…The Model Free Learning Adaptive Control (MFLAC) is based on the pseudo-partial-derivative (PPD) calculated from the input and output signals of the system to…”
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    Conference Proceeding