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Publications (10 of 27) Show all publications
Guay, M. & Atta, K. (2019). A backstepping controller design technique for a class of cascaded nonlinear systems with unknown dynamics. In: 2019 American Control Conference (ACC): . Paper presented at 2019 American Control Conference (ACC) (pp. 3093-3098).
Open this publication in new window or tab >>A backstepping controller design technique for a class of cascaded nonlinear systems with unknown dynamics
2019 (English)In: 2019 American Control Conference (ACC), 2019, p. 3093-3098Conference paper, Published paper (Refereed)
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75940 (URN)
Conference
2019 American Control Conference (ACC)
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10
Atta, K., Guay, M. & Lucchese, R. (2019). A geometric phasor extremum seeking control approach with measured constraints. In: : . Paper presented at CDC. IEEE conference proceedings
Open this publication in new window or tab >>A geometric phasor extremum seeking control approach with measured constraints
2019 (English)Conference paper (Refereed)
Place, publisher, year, edition, pages
IEEE conference proceedings, 2019
Keywords
Constrained Extremum Seeking Control, Measured Constraints
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75908 (URN)
Conference
CDC
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09
Guay, M. & Atta, K. (2019). A set-based model-free reinforcement learning design technique for nonlinear systems. International Journal of Adaptive Control and Signal Processing, 33(2), 315-334
Open this publication in new window or tab >>A set-based model-free reinforcement learning design technique for nonlinear systems
2019 (English)In: International Journal of Adaptive Control and Signal Processing, ISSN 1099-1115, Vol. 33, no 2, p. 315-334Article in journal (Refereed) Published
Abstract [en]

Summary In this study, we propose an extremum-seeking approach for the approximation of optimal control problems for a class of unknown nonlinear dynamical systems. The technique combines a phasor extremum-seeking controller with a reinforcement learning strategy. The learning approach is used to estimate the value function of an optimal control problem of interest. The phasor extremum-seeking controller implements the approximate optimal controller. The approach is shown to provide reasonable approximations of optimal control problems without the need for a parameterization of the nonlinear system’s dynamics. A simulation example is provided to demonstrate the effectiveness of the technique.

Place, publisher, year, edition, pages
John Wiley & Sons, 2019
Keywords
extremum-seeking control, phasor approximation, reinforcement learning
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-71744 (URN)10.1002/acs.2949 (DOI)000458861100006 ()2-s2.0-85058854004 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-02-06 (johcin)

Available from: 2018-11-28 Created: 2018-11-28 Last updated: 2019-03-14Bibliographically approved
Atta, K. & Guay, M. (2019). Adaptive amplitude fast proportional integral phasor extremum seeking control for a class of nonlinear system. Journal of Process Control
Open this publication in new window or tab >>Adaptive amplitude fast proportional integral phasor extremum seeking control for a class of nonlinear system
2019 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771Article in journal (Refereed) In press
Abstract [en]

In this paper, we present a modification of the fast phasor extremum-seeking control for the fast optimization of a class of Wiener-Hammerstein nonlinear dynamical systems. The proposed technique provides a significant improvement of the closed-loop system's performance. This study introduces a new adaptive amplitude technique that is used to adaptively adjust the perturbation amplitude to a small predetermined value in a neighbourhood of the system's unknown optimal equilibrium. An analysis of the system demonstrates that semi-global practical stability analysis of the overall system to the unknown optimum is achieved. The effectiveness of the proposed approach is illustrated using numerical examples. The approach is also implemented for the optimal operation of a lean burn combustion system.

Keywords
Fast extremum-seeking control, Stability analysis, Wiener-Hammerstein system
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-73304 (URN)10.1016/j.jprocont.2018.10.006 (DOI)
Available from: 2019-03-25 Created: 2019-03-25 Last updated: 2019-09-13
Atta, K. & Guay, M. (2019). Comment on “On stability and application of extremum seeking control without steady-state oscillation” [Automatica 68 (2016) 18–26] [Letter to the editor]. Automatica, 103, 580-581
Open this publication in new window or tab >>Comment on “On stability and application of extremum seeking control without steady-state oscillation” [Automatica 68 (2016) 18–26]
2019 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 103, p. 580-581Article in journal, Letter (Refereed) Published
Abstract [en]

This correspondence revisits the results reported in a recent Automatica paper (Wang et al., 2016). We show that the claim of exponential stability of the extremum-seeking control system presented in Theorem 1 is not correct. An alternative stability analysis using the Lyapunov–Malkin theorem is considered. A counterexample is also presented.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Adaptive control, Extremum seeking control, Steady-state oscillation
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-73444 (URN)10.1016/j.automatica.2018.01.016 (DOI)
Available from: 2019-04-05 Created: 2019-04-05 Last updated: 2019-05-02Bibliographically approved
Guay, M. & Atta, K. (2019). Extremum seeking regulator for a class of unknown SISO nonlinear systems. In: 2019 American Control Conference (ACC): . Paper presented at 2019 American Control Conference (ACC) (pp. 3032-3037).
Open this publication in new window or tab >>Extremum seeking regulator for a class of unknown SISO nonlinear systems
2019 (English)In: 2019 American Control Conference (ACC), 2019, p. 3032-3037Conference paper, Published paper (Refereed)
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75939 (URN)
Conference
2019 American Control Conference (ACC)
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10
Lucchese, R., Lionello, M., Rampazzo, M., Guay, M. & Atta, K. (2019). Gradient-free optimization of data center cooling using Extremum Seeking. In: : . Paper presented at Nordic Process Control Workshop.
Open this publication in new window or tab >>Gradient-free optimization of data center cooling using Extremum Seeking
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2019 (English)Conference paper, Oral presentation with published abstract (Other academic)
Keywords
Data center cooling, Phasor extremum seeking control
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75929 (URN)
Conference
Nordic Process Control Workshop
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09
Birk, W., Atta, K. & Udén, F. (2019). Improving District Heating System Operation through Control Configuration Selection and Adaptive Control. In: 2019 18th European Control Conference (ECC): . Paper presented at 2019 18th European Control Conference (ECC) (pp. 2944-2949).
Open this publication in new window or tab >>Improving District Heating System Operation through Control Configuration Selection and Adaptive Control
2019 (English)In: 2019 18th European Control Conference (ECC), 2019, p. 2944-2949Conference paper, Published paper (Refereed)
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75938 (URN)
Conference
2019 18th European Control Conference (ECC)
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10
Lucchese, R., Lionello, M., Rampazzo, M., Guay, M. & Atta, K. (2019). Newton-like phasor extremum seeking control with application to cooling data centers. In: : . Paper presented at IFAC NOLCOS. IFAC Papers Online
Open this publication in new window or tab >>Newton-like phasor extremum seeking control with application to cooling data centers
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2019 (English)Conference paper (Refereed)
Place, publisher, year, edition, pages
IFAC Papers Online, 2019
Keywords
Extremum seeking control, Newton-like, Data center cooling
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75907 (URN)
Conference
IFAC NOLCOS
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09
Guay, M. & Atta, K. (2018). A set-based model-free reinforcement learning design technique for nonlinear systems. Paper presented at 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM);JUL 25-27,2018;Shenyang,China.. IFAC-PapersOnLine, 51(18), 37-42
Open this publication in new window or tab >>A set-based model-free reinforcement learning design technique for nonlinear systems
2018 (English)In: IFAC-PapersOnLine, ISSN 1045-0823, E-ISSN 1797-318X, Vol. 51, no 18, p. 37-42Article in journal (Refereed) Published
Abstract [en]

In this study, we propose an extremum-seeking approach for the approximation of optimal control problems for unknown nonlinear dynamical systems. The technique combines a phasor extremum seeking controller with an reinforcement learning strategy. The learning approach is used to estimate the value function of an optimal control problem of interest. The phasor extremum seeking controller implements the approximate optimal controller. The approach is shown to provide reasonable approximations of optimal control problems without the need for a parameterization of the nonlinear control system. A simulation example are provided to demonstrate the effectiveness of the technique

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-71278 (URN)10.1016/j.ifacol.2018.09.242 (DOI)000446604800008 ()2-s2.0-85054426959 (Scopus ID)
Conference
10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM);JUL 25-27,2018;Shenyang,China.
Note

Konferensartikel i tidskrift

Available from: 2018-10-19 Created: 2018-10-19 Last updated: 2018-10-19Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9901-5776

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