Inhalt des Dokuments
You can find below a list of my publications.
You can also visit my google scholar profile [link]
[1]
Journal
publications
Dual Robust Nonlinear Model Predictive Control: A
Multi-stage Approach
Citation key |
thangavel2018jpc |
Author |
S.
Thangavel and Lucia, S. and R. Paulen and S. Engell |
Pages |
39–51 |
Year |
2018 |
Journal |
Journal
of Process Control |
Volume |
72 |
Download Bibtex entry
[2]
Back [3]
Conference publications
Karg, B. and Lucia, S. (2019). Learning-based
output feedback robust nonlinear predictive control of a towing kite
[4]. Proc. of the European Control Conference (in Press)
Sonnekalb, T. and Lucia, S. (2019). Smart Hot
Water Control with Learned Human Behaviour for Minimal Energy
Consumption [5]. Proc. of the 5th IEEE World Forum on Internet of
Things (in Press)
Wan, Y., Shen, D. E., Lucia, S., Findeisen, R.
and Braatz, R. D. (2018). Robust Static $H_infty$ Output-Feedback
Control Using Polynomial Chaos [6]. Proc. of the American Control
Conference, 6804–6809.
Subramanian, S., Lucia, S. and Engell, S.
(2018). A Synergistic Approach to Robust Output Feedback Control:
Tube-based Multi-stage NMPC [7]. Proc. of the International
Symposium on Advanced Control of Chemical Processes,
494–499.
Thangavel, S., Subramanian, S., Lucia, S. and
Engell, S. (2018). Handling Structural Plant-model Mismatch using a
Model-error Model in the Multi-stage NMPC framework [8]. Proc. of
the 18th IFAC Symposium on System Identification,
1074–1079.
Lucia, S., Navarro, D., Sarnago, H. and Lucia,
O. (2018). Model Predictive Control for Resonant Power Converters
Applied to Induction Heating [9]. Proc. of the 27th IEEE
International Symposium on Industrial Electronics,
246–251.
Subramanian, S., Lucia, S. S. B., Paulen, R. and
Engell, S. (2018). A Combined Multi-stage and Tube-based MPC Scheme
for Constrained Linear Systems [10]. Proc. of the IFAC Conference
on Nonlinear Model Predictive Control, 577–582.
Lucia, S. and Karg, B. (2018). A deep
learning-based approach to robust nonlinear model predictive control
[11]. Proc. of the IFAC Conference on Nonlinear Model Predictive
Control, 610–615.
Thangavel, S., Abuel-nour, M., Lucia, S.,
Paulen, R. and Engell, S. (2018). Robust Dual Multi-stage NMPC using
Guaranteed Parameter Estimation [12]. Proc. of the IFAC Conference
on Nonlinear Model Predictive Control, 74–79.
Karg, B. and Lucia, S. (2018). Towards
low-energy, low-cost and high-performance IoT-based operation of
interconnected systems [13]. Proc. of the 4th IEEE World Forum on
Internet of Things, 706–711.
Karg, B. and Lucia, S. (2018). Deep
learning-based embedded mixed-integer model predictive control [14].
Proc. of the European Control Conference, 2075–2080.
Thangavel, S., Paulen, R., Engell, S. and
Lucia, S. (2017). Robust nonlinear model predictive control with
reduction of uncertainty via dual control [15]. Proc. of the 21st
International Conference on Process Control, 48–53.
Lucia, S., Torchio, M., Raimondo, D., Klein,
R., Braatz, R. and Findeisen, R. (2017). Towards adaptive
health-aware charging of Li-ion batteries: a real-time predictive
control approach using first-principles models [16]. Proc. of the
American Control Conference, 4717–4722.
Lucia, S., Carius, L. and Findeisen, R. (2017).
Adaptive nonlinear predictive control and estimation of microaerobic
processes [17]. Proc. of the IFAC World Congress,
12635–12640.
Shen, D., Lucia, S., Findeisen, R. and Braatz,
R. (2017). Polynomial chaos-based H2-optimal static output feedback
control of systems with probabilistic parametric uncertainties [18].
Proc. of the IFAC World Congress, 3536–3541.
Lucia, S., Paulson, J., Findeisen, R. and
Braatz, R. (2017). On Stability of Stochastic Linear Systems via
Polynomial Chaos Expansions [19]. Proc. of the American Control
Conference, 5089–5094.
Subramanian, S., Lucia, S. and Engell, S.
(2017). An improved output feedback MPC for constrained linear systems
[20]. Proc. of the IFAC World Congress,
15506–15511.
Subramanian, S., Lucia, S. and Engell, S.
(2017). A Novel Tube-based Output Feedback MPC for Constrained Linear
Systems [21]. Proc. of the American Control Conference,
3060–3065.
Bäthge, T., Lucia, S. and Findeisen, R.
(2016). Exploiting Models of Different Granularity in Robust
Predictive Control [22]. Proc. of the 54th IEEE Conference on
Decision and Control, 2763–2768.
Kallies, C., Schliemann-Bullinger, M.,
Findeisen, R., Lucia, S. and Bullinger, E. (2016). Monotonicity of
Kinetic Proofreading [23]. Proc. of the 6th IFAC Conference on
Foundations of Systems Biology in Engineering, 306–311.
Lucia, S., Schliemann-Bullinger, M., Findeisen,
R. and Bullinger, E. (2016). A Set-Based Optimal Control Approach for
Pharmacokinetic / Pharmacodynamic Drug Dosage Design [24]. Proc.
of the 11th IFAC Symposium on Dynamics and Control of Process Systems
Including Biosystems, 797 - 802.
Subramanian, S., Lucia, S. and Engell, S.
(2016). A Non-conservative Robust Output Feedback MPC for Constrained
Linear Systems [25]. Proc. of the 54th IEEE Conference on Decision
and Control, 2333-2338.
Zometa, P., Heinemann, H., Lucia, S., Kögel,
M. and Findeisen, R. (2016). Efficient Stochastic Model Predictive
Control for Embedded Systems Based on Second-Order Cone Programs [26].
Proc. of the European Control Conference, 166-171.
Thangavel, S., Lucia, S., Paulen, R. and Engell,
S. (2015). Towards dual robust nonlinear model predictive control: A
multi-stage approach [27]. 2015 American Control Conference
(ACC), 428-433.
Lucia, S. and Engell, S. (2015). Potential and
Limitations of Multi-stage Nonlinear Model Predictive Control [28].
Proc. of the 9th IFAC Symposium on Advanced Control of Chemical
Processes, 1015 - 1020.
Lucia, S., Kögel, M. and Findeisen, R. (2015).
Contract-based Predictive Control of Distributed Systems with Plug and
Play Capabilities [29]. Proc. of the 5th IFAC Conference on
Nonlinear Model Predictive Control, 205 - 211.
Lucia, S., Zometa, P., Kögel, M. and Findeisen,
R. (2015). Efficient stochastic model predictive control based on
polynomial chaos expansions for embedded applications [30]. Proc.
of the 54th IEEE Conference on Decision and Control,
3006-3012.
Lucia, S., Rumschinski, P., Krener, A. and
Findeisen, R. (2015). Improved Design of Nonlinear Model Predictive
Controllers [31]. Proc. of the 5th IFAC Conference on Nonlinear
Model Predictive Control, 254 - 259.
Lucia, S., Kögel, M., Zometa, P., Quevedo, D.
and Findeisen, R. (2015). Predictive Control in the Era of Networked
Control and Communication - a Perspective [32]. Proc. of the 5th
IFAC Conference on Nonlinear Model Predictive Control, 322 -
331.
Marti, R., Lucia, S., Sarabia, D., Paulen, R.,
Engell, S. and Prada, C. d. (2015). An efficient distributed algorithm
for multi-stage robust nonlinear predictive control [33]. European
Control Conference, 2664-2669.
Subramanian, S., Lucia, S. and Engell, S.
(2015). Economic Multi-stage Output Feedback NMPC using the Unscented
Kalman Filter [34]. Proc. of the 9th IFAC Symposium on Advanced
Control of Chemical Processes, 38 - 43.
Subramanian, S., Lucia, S. and Engell, S.
(2015). Handling structural plant-model mismatch via multi-stage
nonlinear model predictive control [35]. European Control
Conference, 1602-1607.
Subramanian, S., Lucia, S. and Engell, S.
(2015). Adaptive Multi-stage Output Feedback NMPC using the Extended
Kalman Filter for time varying uncertainties applied to a CSTR [36].
Proc. of the 5th IFAC Conference on Nonlinear Model Predictive
Control, 242 - 247.
Subramanian, S., Lucia, S., S., R. P. and Engell
(2015). Robust output feedback NMPC with guaranteed constraint
satisfaction [37]. Proc. of the 8th IFAC Symposium on Robust
Control Design, 326 - 331.
Lucia, S., Andersson, J., Brandt, H.,
Bouaswaig, A., Diehl, M. and Engell, S. (2014). Efficient Robust
Economic Nonlinear Model Predictive Control of an Industrial Batch
Reactor [38]. Prof. of the 19th IFAC World Congress,
11093-11098.
Lucia, S., Paulen, R. and Engell, S. (2014).
Multi-stage Nonlinear Model Predictive Control with Verified Robust
Constraint Satisfaction [39]. Proc. of the 54th IEEE Conference on
Decision and Control, 2816-2821.
Lucia, S. and Engell, S. (2014). Control of
Towing Kites under Uncertainty using Robust Economic Nonlinear Model
Predictive Control [40]. Proc. of the 13th European Control
Conference, 1158-1163.
Lucia, S., Tatulea-Codrean, A., Schoppmeyer,
C. and Engell, S. (2014). An Environment for the Efficient Testing
and Implementation of Robust NMPC [41]. Proc. of the 2014 IEEE
Multi-Conference on Systems and Control, 1843-1848.
Lucia, S. and Paulen, R. (2014). Robust
Nonlinear Model Predictive Control with Reduction of Uncertainty via
Robust Optimal Experiment Design [42]. Proc. of the 19th IFAC
World Congress, 1904-1909.
Subramanian, S., Lucia, S. and Engell, S.
(2014). Economic Multi-stage Output Nonlinear Model Predictive Control
[43]. Proc. of the 2014 IEEE Multi-Conference on Systems and
Control, 1837-1842.
Lucia, S. and Engell, S. (2013). Robust
Nonlinear Model Predictive Control of a Batch Bioreactor Using
Multi-stage Stochastic Programming [44]. Proc. of the 12th
European Control Conference, Zurich, 4124-4129.
Lucia, S., Subramanian, S. and Engell, S.
(2013). Non-conservative Robust Nonlinear Model Predictive Control via
Scenario Decomposition [45]. Proc. of the 2013 IEEE
Multi-Conference on Systems and Control, 586-591.
Lucia, S., Finkler, T., Basak, D. and Engell,
S. (2012). A new Robust NMPC Scheme and its Application to a
Semi-batch Reactor Example [46]. Proc. of the International
Symposium on Advanced Control of Chemical Processes, 69-74.
Lucia, S. and Engell, S. (2012). Multi-stage
and Two-stage Robust Nonlinear Model Predictive Control [47].
Proc. of the IFAC Conference on Nonlinear Model Predictive
Control, 181-186.
Dissertation
You can download a copy of my Dissertation,
entitled Robust Multi-stage Nonlinear Model Predictive Control,
clicking here [48]
We are part of:

[49]
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[48]
https://www.iot.tu-berlin.de/fileadmin/fg336/PhD_D
issertation_no_CV.pdf
[49]
http://www.digital-future.berlin