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Publications (10 of 31) Show all publications
Simonsson, J., Atta, K., Zachariah, D. & Birk, W. (2020). A latent variable approach to heat load prediction in thermal grids. In: : . Paper presented at European Control Conference 2020.
Open this publication in new window or tab >>A latent variable approach to heat load prediction in thermal grids
2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a new method for heat load prediction in district energy systems is proposed. The method uses a nominal model for the prediction of the outdoor temperature dependent space heating load, and a data driven latent variable model to predict the time dependent residual heat load. The residual heat load arises mainly from time dependent operation of space heating and ventilation, and domestic hot water production. The resulting model is recursively updated on the basis of a hyper-parameter free implementation that results in a parsimonious model allowing for high computational performance. The approach is applied to a single multi-dwelling building in Luleå, Sweden, predicting the heat load using a relatively small number of model parameters and easily obtained measurements. The results are compared with predictions using an artificial neural network, showing that the proposed method achieves better prediction accuracy for the validation case. Additionally, the proposed methods exhibits explainable behavior through the use of an interpretable physical model.

National Category
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-77819 (URN)
Conference
European Control Conference 2020
Funder
Swedish Energy Agency, 43090-2
Available from: 2020-02-24 Created: 2020-02-24 Last updated: 2020-04-28
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. T., Guay, M. & Lucchese, R. (2019). A geometric phasor extremum seeking control approach with measured constraints. In: 2019 IEEE 58th Conference on Decision and Control (CDC): . Paper presented at 2019 IEEE 58th Conference on Decision and Control (CDC), 11-13 Dec, 2019, Nice, France (pp. 1494-1500). IEEE
Open this publication in new window or tab >>A geometric phasor extremum seeking control approach with measured constraints
2019 (English)In: 2019 IEEE 58th Conference on Decision and Control (CDC), IEEE, 2019, p. 1494-1500Conference paper, Published paper (Other academic)
Abstract [en]

In this paper, we propose an extension for the phasor extremum seeking control approach to solve constrained optimization problems. The proposed technique uses phasor estimates of the objective function and the constraints to compute a geometric constraint satisfaction approach that avoids the violation of the constraints. The proposed method is illustrated to solve several nonlinear optimization problems subject to equality and inequality constraints. Finally, the effectiveness of the proposed approach is illustrated for the optimal operation of a parallel isothermal stirred-tank reactor system.

Place, publisher, year, edition, pages
IEEE, 2019
Series
IEEE Conference on Decision and Control, E-ISSN 2576-2370
Keywords
Extremum Seeking Control, Measured Constrained, Stirred-Tank Reactor
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75908 (URN)10.1109/CDC40024.2019.9030060 (DOI)2-s2.0-85082454221 (Scopus ID)
Conference
2019 IEEE 58th Conference on Decision and Control (CDC), 11-13 Dec, 2019, Nice, France
Note

ISBN för värdpublikation: 978-1-7281-1398-2

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2020-04-24Bibliographically approved
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, 83, 147-154
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 1873-2771, Vol. 83, p. 147-154Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2019
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)
Note

Validerad;2019;Nivå 2;2019-12-09 (johcin)

Available from: 2019-03-25 Created: 2019-03-25 Last updated: 2019-12-09Bibliographically approved
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. T. (2019). Extremum seeking regulator design with derivative action for uncertain systems. In: 2019 IEEE 58th Conference on Decision and Control (CDC): . Paper presented at 2019 IEEE 58th Conference on Decision and Control (CDC), 11-13 Dec, 2019, Nice, France (pp. 6106-6111). IEEE
Open this publication in new window or tab >>Extremum seeking regulator design with derivative action for uncertain systems
2019 (English)In: 2019 IEEE 58th Conference on Decision and Control (CDC), IEEE, 2019, p. 6106-6111Conference paper, Published paper (Other academic)
Abstract [en]

This paper proposes an extremum-seeking control approach for the regulation of a class of minimum phase nonlinear systems to the optimum of a measured objective function. The nonlinear systems are subject to the effects of exogenous disturbances driven by unknown dynamics. A Lie bracket averaging technique is used to design the extremum seeking regulation mechanism. The internal model is estimated directly using a derivative action that exploits the convexity of the measured cost function. This mechanism avoids the need for an internal model estimation approach. A stability analysis shows that the system achieves a practical output regulation of the unknown optimum equilibrium. A simulation study demonstrates the effectiveness of the technique.

Place, publisher, year, edition, pages
IEEE, 2019
Series
IEEE Conference on Decision and Control, E-ISSN 2576-2370
Keywords
Nonlinear systems, Regulators, Cost function, Convergence, Stability analysis, Steady-state, Trajectory
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-78654 (URN)10.1109/CDC40024.2019.9028948 (DOI)2-s2.0-85082489883 (Scopus ID)
Conference
2019 IEEE 58th Conference on Decision and Control (CDC), 11-13 Dec, 2019, Nice, France
Note

ISBN för värdpublikation: 978-1-7281-1398-2

Available from: 2020-04-24 Created: 2020-04-24 Last updated: 2020-04-24Bibliographically 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
Show others...
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
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9901-5776

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