Showing 1344 publications by Marko Bacic, Mark Cannon, Harrison Steel, Paul Goulart, Kostas Margellos, Antonis Papachristodoulou
Designing neural controllers with optimality and stability guarantees by learning input-output dissipativity
Wang H, Miao K, de S. Madeira D & Papachristodoulou A (2026), Automatica, 191, 113120
BibTeX
@article{designingneural-2026/9,
title={Designing neural controllers with optimality and stability guarantees by learning input-output dissipativity},
author={Wang H, Miao K, de S. Madeira D & Papachristodoulou A},
journal={Automatica},
volume={191},
pages={113120},
publisher={Elsevier},
year = "2026"
}
Data-Based Clustering and Control of Similar Biological Systems
Zhang P, Papachristodoulou A & Kempf I (2026)
BibTeX
@misc{databasedcluste-2026/9,
title={Data-Based Clustering and Control of Similar Biological Systems},
author={Zhang P, Papachristodoulou A & Kempf I},
year = "2026"
}
Robust targeted exploration for systems with non-stochastic disturbances
Venkatasubramanian J, Koehler J, Cannon M & Allgoewer F (2026), Automatica, 193
On the suboptimality of stochastic MPC with varying constraint horizon
Nascimento AAD, Bertolace A, Papachristodoulou A & Margellos K (2026)
Efficient quantification of time-series prediction error: optimal selection conformal prediction
Pang B & Margellos K (2026), 2026 European Control Conference (ECC), 1665-1670
BibTeX
@inproceedings{efficientquanti-2026/8,
title={Efficient quantification of time-series prediction error: optimal selection conformal prediction},
author={Pang B & Margellos K},
booktitle={24th European Control Conference (ECC 2026)},
pages={1665-1670},
year = "2026"
}
On the suboptimality of stochastic MPC with varying constraint horizon
Nascimento AAD, Bertolace A, Papachristodoulou A & Margellos K (2026)
Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition.
Wang H, Margellos K & Papachristodoulou A (2026), Automatica, abs/2407.00414
BibTeX
@article{safeandstablefi-2026/6,
title={Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition.},
author={Wang H, Margellos K & Papachristodoulou A},
journal={Automatica},
volume={abs/2407.00414},
publisher={Elsevier},
year = "2026"
}
Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition.
Wang H, Margellos K & Papachristodoulou A (2026), Automatica, abs/2407.00414
BibTeX
@article{safeandstablefi-2026/6,
title={Safe and Stable Filter Design Using a Relaxed Compatibitlity Control Barrier - Lyapunov Condition.},
author={Wang H, Margellos K & Papachristodoulou A},
journal={Automatica},
volume={abs/2407.00414},
publisher={Elsevier},
year = "2026"
}
A Prototyping Framework for Distributed Control of Multi-Robot Systems
Memon JA, Nascimento AAD, Margellos K & Papachristodoulou A (2026)
BibTeX
@misc{aprototypingfra-2026/5,
title={A Prototyping Framework for Distributed Control of Multi-Robot Systems},
author={Memon JA, Nascimento AAD, Margellos K & Papachristodoulou A},
year = "2026"
}
A Prototyping Framework for Distributed Control of Multi-Robot Systems
Memon JA, Nascimento AAD, Margellos K & Papachristodoulou A (2026)
BibTeX
@misc{aprototypingfra-2026/5,
title={A Prototyping Framework for Distributed Control of Multi-Robot Systems},
author={Memon JA, Nascimento AAD, Margellos K & Papachristodoulou A},
year = "2026"
}
A Koopman Set-Membership Approach for Nonlinear Data-Driven Control with Stability Guarantees
Xie Y, Xiong Z, Berberich J, Papachristodoulou A & Allgöwer F (2026)
BibTeX
@misc{akoopmansetmemb-2026/5,
title={A Koopman Set-Membership Approach for Nonlinear Data-Driven Control with Stability Guarantees},
author={Xie Y, Xiong Z, Berberich J, Papachristodoulou A & Allgöwer F},
year = "2026"
}
CuClarabel: GPU acceleration for a conic optimization solver
Chen Y, Tse D, Nobel P, Goulart P & Boyd S (2026), ACM Transactions on Mathematical Software
A Distributed SOS Program For Local Stability Analysis of Polynomial PDEs in the PIE Representation
Richardson CR, Jagt DS, Peet MM & Papachristodoulou A (2026)
BibTeX
@misc{adistributedsos-2026/4,
title={A Distributed SOS Program For Local Stability Analysis of Polynomial PDEs in the PIE Representation},
author={Richardson CR, Jagt DS, Peet MM & Papachristodoulou A},
year = "2026"
}
Prolyl hydroxylase-dependent proteolysis enables the orthogonal hypoxia responses in plants
Shukla V, Iacopino S, Carbonare LD, Del Chiaro A, He Y et al. (2026), Nature Communications
Acceleration of Moment Bound Optimization for Stochastic Chemical Reactions Using Reaction-wise Sparsity of Moment Equations
Sadatoshi T, Papachristodoulou A & Hori Y (2026)
BibTeX
@misc{accelerationofm-2026/4,
title={Acceleration of Moment Bound Optimization for Stochastic Chemical Reactions Using Reaction-wise Sparsity of Moment Equations},
author={Sadatoshi T, Papachristodoulou A & Hori Y},
year = "2026"
}
Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
Lin J, Goulart PJ & Furieri L (2026)
BibTeX
@misc{learningoverrel-2026/4,
title={Learning Over-Relaxation Policies for ADMM with Convergence Guarantees},
author={Lin J, Goulart PJ & Furieri L},
year = "2026"
}
Generative design of synthetic gene circuits for functional and evolutionary properties.
Gallup O & Steel H (2026), NPJ systems biology and applications
Robust adaptive NMPC using ellipsoidal tubes
Buerger J & Cannon M (2026), IEEE Transactions on Automatic Control, 71(8), 5573-5579
Robust targeted exploration for systems with non-stochastic disturbances
Venkatasubramanian J, Köhler J, Cannon M & Allgöwer F (2026)
A synthetic ERFVII-dependent circuit in yeast sheds light on the regulation of early hypoxic responses of plants
Lavilla-Puerta M, He Y, Piccinini L, Paco LD, Papachristodoulou A et al. (2026), Proceedings of the National Academy of Sciences, 123(11)
BibTeX
@article{asyntheticerfvi-2026/3,
title={A synthetic ERFVII-dependent circuit in yeast sheds light on the regulation of early hypoxic responses of plants},
author={Lavilla-Puerta M, He Y, Piccinini L, Paco LD, Papachristodoulou A et al.},
journal={Proceedings of the National Academy of Sciences},
volume={123},
number={e2524358123},
publisher={National Academy of Sciences},
year = "2026"
}
Robust adaptive NMPC using ellipsoidal tubes
Buerger J & Cannon M (2026)
BibTeX
@misc{robustadaptiven-2026/3,
title={Robust adaptive NMPC using ellipsoidal tubes},
author={Buerger J & Cannon M},
year = "2026"
}
Computationally Tractable Robust Nonlinear Model Predictive Control using DC Programming
Doff-Sotta M, A-Rahman Z & Cannon M (2026)
An Experimental and Numerical Investigation into Compressor Casing Heat Shield Effectiveness †
Pilkington A, Gopalkrishna V, Barnes C, Lewis L & Bacic M (2026), International Journal of Turbomachinery, Propulsion and Power, 11(1), 9
Quantum spin resonance in engineered proteins for multimodal sensing
Abrahams G, Štuhec A, Spreng V, Henry R, Kempf I et al. (2026), Nature, 1-8
Host-Aware Control of Gene Expression using Data-Enabled Predictive Control.
Perreault L, Kempf I, Sechkar K, Lugagne J-B & Papachristodoulou A (2026), CoRR, abs/2601.01693
BibTeX
@article{hostawarecontro-2026/1,
title={Host-Aware Control of Gene Expression using Data-Enabled Predictive Control.},
author={Perreault L, Kempf I, Sechkar K, Lugagne J-B & Papachristodoulou A},
journal={CoRR},
volume={abs/2601.01693},
year = "2026"
}
Data-driven performance guarantees for parametric optimization problems
Huang J, Goulart P & Margellos K (2026), 2025 IEEE 64th Conference on Decision and Control (CDC), 1967-1973
Clarabel: An interior-point solver for conic programs with quadratic objectives
Goulart PJ & Chen Y (2026), Mathematical Programming Computation
Deep learning model predictive control for deep brain stimulation in Parkinson’s disease
Steffen S & Cannon M (2026), 2025 IEEE 64th Conference on Decision and Control (CDC), 5744-5749
Krylov Subspace Acceleration for First-Order Splitting Methods in Convex Quadratic Programming
Pereira GB & Goulart PJ (2026), European Control Conference Piscataway N J Online Ecc(2026), 1544-1551
BibTeX
@inproceedings{krylovsubspacea-2026/1,
title={Krylov Subspace Acceleration for First-Order Splitting Methods in Convex Quadratic Programming},
author={Pereira GB & Goulart PJ},
pages={1544-1551},
year = "2026"
}
Host-Aware Control of Gene Expression using Data-Enabled Predictive Control
Perreault L, Kempf I, Sechkar K, Lugagne J-B & Papachristodoulou A (2026)
BibTeX
@misc{hostawarecontro-2026/1,
title={Host-Aware Control of Gene Expression using Data-Enabled Predictive Control},
author={Perreault L, Kempf I, Sechkar K, Lugagne J-B & Papachristodoulou A},
year = "2026"
}
Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture
Stacey SB, Lee TA, Gallup O, Csibra E, Papachristodoulou A et al. (2026), Methods in Molecular Biology, 3041, 145-195
BibTeX
@article{characterizatio-2026/,
title={Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture},
author={Stacey SB, Lee TA, Gallup O, Csibra E, Papachristodoulou A et al.},
journal={Methods in Molecular Biology},
volume={3041},
pages={145-195},
publisher={Springer Nature},
year = "2026"
}
Microscopic PhotoSelection (MiPS) of single cells in mother machine microfluidic devices
James J, Kempf I, Sechkar K, Wang J, Abrahams G et al. (2025)
Automatic Feedback Control for Resource-Aware Characterisation of Genetic Circuits
Sechkar K & Steel H (2025), 00, 1913-1918
Data-Enabled Predictive Control for Nonlinear Systems Based on a Koopman Bilinear Realization
Xiong Z, Yuan Z, Miao K, Wang H, Cortés J et al. (2025), 00, 6498-6503
BibTeX
@inproceedings{dataenabledpred-2025/12,
title={Data-Enabled Predictive Control for Nonlinear Systems Based on a Koopman Bilinear Realization},
author={Xiong Z, Yuan Z, Miao K, Wang H, Cortés J et al.},
booktitle={2025 IEEE 64th Conference on Decision and Control (CDC)},
pages={6498-6503},
year = "2025"
}
Model Predictive Control with Multiple Constraint Horizons
Nascimento AAD, Wang H, Papachristodoulou A & Margellos K (2025)
BibTeX
@misc{modelpredictive-2025/11,
title={Model Predictive Control with Multiple Constraint Horizons},
author={Nascimento AAD, Wang H, Papachristodoulou A & Margellos K},
year = "2025"
}
Efficient Quantification of Time-Series Prediction Error: Optimal Selection Conformal Prediction
Pang B & Margellos K (2025)
BibTeX
@misc{efficientquanti-2025/11,
title={Efficient Quantification of Time-Series Prediction Error: Optimal Selection Conformal Prediction},
author={Pang B & Margellos K},
year = "2025"
}
Model Predictive Control with Multiple Constraint Horizons
Nascimento AAD, Wang H, Papachristodoulou A & Margellos K (2025)
BibTeX
@misc{modelpredictive-2025/11,
title={Model Predictive Control with Multiple Constraint Horizons},
author={Nascimento AAD, Wang H, Papachristodoulou A & Margellos K},
year = "2025"
}
On the Design of Rational Polynomial State Feedback Controllers
Newton M, Xiong Z, Wang H & Papachristodoulou A (2025)
BibTeX
@misc{onthedesignofra-2025/11,
title={On the Design of Rational Polynomial State Feedback Controllers},
author={Newton M, Xiong Z, Wang H & Papachristodoulou A},
year = "2025"
}
Krylov subspace acceleration for first-order splitting methods in convex quadratic programming
Pereira GB & Goulart P (2025)
Predictive Control Barrier Functions: bridging model predictive control and control barrier functions
Huang J, Wang H, Margellos K & Goulart P (2025), 2623-2629
BibTeX
@inproceedings{predictivecontr-2025/10,
title={Predictive Control Barrier Functions: bridging model predictive control and control barrier functions},
author={Huang J, Wang H, Margellos K & Goulart P},
booktitle={23rd European Control Conference (ECC 2025)},
pages={2623-2629},
year = "2025"
}
Predictive Control Barrier Functions: bridging model predictive control and control barrier functions
Huang J, Wang H, Margellos K & Goulart P (2025), 2623-2629
BibTeX
@inproceedings{predictivecontr-2025/10,
title={Predictive Control Barrier Functions: bridging model predictive control and control barrier functions},
author={Huang J, Wang H, Margellos K & Goulart P},
booktitle={23rd European Control Conference (ECC 2025)},
pages={2623-2629},
year = "2025"
}
Control of multi-array cross-directional systems using the generalised singular value decomposition
Kempf I, Christian GB, Abbott M, Bobb L, Goulart PJ et al. (2025), Automatica, 179, 112431-112431
BibTeX
@article{controlofmultia-2025/9,
title={Control of multi-array cross-directional systems using the generalised singular value decomposition},
author={Kempf I, Christian GB, Abbott M, Bobb L, Goulart PJ et al.},
journal={Automatica},
volume={179},
pages={112431-112431},
publisher={Elsevier},
year = "2025"
}
Deep learning adaptive model predictive control of fed-batch cultivations
Krausch N, Doff-Sotta M, Cannon M, Neubauer P & Bournazou MNC (2025), Computers and Chemical Engineering , 203
BibTeX
@article{deeplearningada-2025/8,
title={Deep learning adaptive model predictive control of fed-batch cultivations},
author={Krausch N, Doff-Sotta M, Cannon M, Neubauer P & Bournazou MNC},
journal={Computers and Chemical Engineering },
volume={203},
number={109344},
publisher={Elsevier},
year = "2025"
}
Manipulating plant oxygen sensing through NCO substitution reveals trade-offs between growth and flooding tolerance
Perri M, He Y, Chirinos X, Lavilla-Puerta M, Latter R et al. (2025)
Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity
Wang H, Miao K, Madeira D & Papachristodoulou A (2025)