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ORCIDColin N. Jones
Colin Neil Jones
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- affiliation: Ecole Polytechnique Federale de Laussanne, Switzerland
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2020 – today
- 2024
[j67]Wenjie Xu, Yuning Jiang
, Emilio Tanowe Maddalena, Colin N. Jones:
Lower Bounds on the Noiseless Worst-Case Complexity of Efficient Global Optimization. J. Optim. Theory Appl. 201(2): 583-608 (2024)- [j66]Peng Yang, Yuning Jiang, Dingzhu Wen, Ting Wang, Colin N. Jones, Yuanming Shi:
Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method. IEEE Trans. Wirel. Commun. 23(6): 5632-5647 (2024) - [c110]Audrey Blizard, Colin N. Jones, Stephanie Stockar:
Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks. ECC 2024: 273-278 - [c109]Jicheng Shi, Yingzhao Lian, Colin N. Jones:
Efficient Recursive Data-enabled Predictive Control. ECC 2024: 880-887 - [c108]Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones:
Stable Linear Subspace Identification: A Machine Learning Approach. ECC 2024: 3539-3544 - [c107]Wenjie Xu, Wenbin Wang, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Principled Preferential Bayesian Optimization. ICML 2024 - [i66]Xinliang Dai, Alexander Kocher, Jovana Kovacevic, Burak Dindar, Yuning Jiang, Colin N. Jones, Hüseyin Kemâl Çakmak, Veit Hagenmeyer:
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework. CoRR abs/2402.01001 (2024) - [i65]Wenjie Xu, Wenbin Wang, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Principled Preferential Bayesian Optimization. CoRR abs/2402.05367 (2024) - [i64]Audrey Blizard, Colin N. Jones, Stephanie Stockar:
Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks. CoRR abs/2404.08107 (2024) - [i63]Roland Schwan, Nicolaj Schmid, Etienne Chassaing, Karim Samaha, Colin N. Jones:
On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach. CoRR abs/2405.09405 (2024) - [i62]Gösta Stomberg, Roland Schwan, Andrea Grillo, Colin N. Jones, Timm Faulwasser:
Cooperative distributed model predictive control for embedded systems: Experiments with hovercraft formations. CoRR abs/2409.13334 (2024) - [i61]Wenjie Xu, Masaki Adachi, Colin N. Jones, Michael A. Osborne:
Principled Bayesian Optimisation in Collaboration with Human Experts. CoRR abs/2410.10452 (2024) - 2023
- [j65]Ying Zhao Lian, Jicheng Shi, Colin N. Jones:
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-Based Filters. IEEE Control. Syst. Lett. 7: 1885-1890 (2023) - [j64]Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones:
On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller. IEEE Trans. Autom. Control. 68(1): 556-563 (2023) - [j63]Paul Scharnhorst, Emilio Tanowe Maddalena, Yuning Jiang, Colin N. Jones:
Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach. IEEE Trans. Autom. Control. 68(5): 2848-2861 (2023) - [j62]Roland Schwan, Colin N. Jones, Daniel Kuhn:
Stability Verification of Neural Network Controllers Using Mixed-Integer Programming. IEEE Trans. Autom. Control. 68(12): 7514-7529 (2023) - [j61]Naomi Stricker, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele:
Self-triggered Control with Energy Harvesting Sensor Nodes. ACM Trans. Cyber Phys. Syst. 7(3): 20:1-20:31 (2023) - [j60]Yingzhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones:
A Proximal-Point Lagrangian-Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(5): 2245-2260 (2023) - [j59]Yingzhao Lian, Jicheng Shi, Manuel Pascal Koch, Colin Neil Jones:
Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result. IEEE Trans. Control. Syst. Technol. 31(6): 2420-2436 (2023) - [c106]Paul Scharnhorst, Baptiste Schubnel, Rafael E. Carrillo, Pierre-Jean Alet, Colin N. Jones:
Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models. ACC 2023: 583-590 - [c105]Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie:
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC 2023: 3735-3750 - [c104]Roland Schwan, Yuning Jiang, Daniel Kuhn, Colin N. Jones:
PIQP: A Proximal Interior-Point Quadratic Programming Solver. CDC 2023: 1088-1093 - [c103]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules. CDC 2023: 2334-2339 - [c102]Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints. CDC 2023: 4112-4117 - [c101]Xinliang Dai, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Veit Hagenmeyer:
Hypergraph- Based Fast Distributed AC Power Flow Optimization. CDC 2023: 4572-4579 - [c100]Kristína Fedorová, Yuning Jiang, Juraj Oravec, Colin N. Jones, Michal Kvasnica:
A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability. CDC 2023: 4705-4710 - [c99]Tudor Andrei Oancea, Yuning Jiang, Colin N. Jones:
Relaxed Recentered Log-Barrier Function Based Nonlinear Model Predictive Control. ECC 2023: 1-6 - [c98]Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Constrained Efficient Global Optimization of Expensive Black-box Functions. ICML 2023: 38485-38498 - [c97]Junyi Zhai, Xinliang Dai, Yuning Jiang, Ying Xue, Veit Hagenmeyer, Colin N. Jones, Xiao-Ping Zhang:
Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN. ISGT EUROPE 2023: 1 - [i60]Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
Violation-Aware Contextual Bayesian Optimization for Controller Performance Optimization with Unmodeled Constraints. CoRR abs/2301.12099 (2023) - [i59]Manuel Pascal Koch, Colin N. Jones:
Comparison of behavioral systems theory and conventional linear models for predicting building zone temperature in long-term in situ measurements. CoRR abs/2302.04063 (2023) - [i58]Ying Zhao Lian, Jicheng Shi, Colin N. Jones:
Physically Consistent Multiple-Step Data-Driven Predictions Using Physics-based Filters. CoRR abs/2303.09437 (2023) - [i57]Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints. CoRR abs/2304.06104 (2023) - [i56]Stéphane Drobot, Matteo Tacchi, Colin N. Jones:
SOStab: a Matlab Toolbox for Approximating Regions of Attraction of Nonlinear Systems. CoRR abs/2304.08889 (2023) - [i55]Manuel Pascal Koch, Colin N. Jones:
A comparison of methods to eliminate regularization weight tuning from data-enabled predictive control. CoRR abs/2305.00807 (2023) - [i54]Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Bayesian Optimization of Expensive Nested Grey-Box Functions. CoRR abs/2306.05150 (2023) - [i53]Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie:
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR abs/2306.13867 (2023) - [i52]Xinliang Dai, Yingzhao Lian, Yuning Jiang, Colin N. Jones, Veit Hagenmeyer:
Hypergraph-Based Fast Distributed AC Power Flow Optimization. CoRR abs/2307.06728 (2023) - [i51]Jicheng Shi, Yingzhao Lian, Christophe Salzmann, Colin N. Jones:
Adaptive Data-Driven Predictive Control as a Module in Building Control Hierarchy: A Case Study of Demand Response in Switzerland. CoRR abs/2307.08866 (2023) - [i50]Xinliang Dai, Junyi Zhai, Yuning Jiang, Colin N. Jones, Veit Hagenmeyer:
Distributed AC Optimal Power Flow for Generic Integrated Transmission-Distribution Systems. CoRR abs/2308.13282 (2023) - [i49]Baiwei Guo, Yuning Jiang, Colin N. Jones, Giancarlo Ferrari-Trecate:
Data-Driven Robust Control Using Prediction Error Bounds Based on Perturbation Analysis. CoRR abs/2308.14178 (2023) - [i48]Kristína Fedorová, Yuning Jiang, Juraj Oravec, Colin N. Jones, Michal Kvasnica:
A Generalized Stopping Criterion for Real-Time MPC with Guaranteed Stability. CoRR abs/2309.04444 (2023) - [i47]Jicheng Shi, Colin N. Jones:
Efficient Recursive Data-enabled Predictive Control: an Application to Consistent Predictors. CoRR abs/2309.13755 (2023) - [i46]Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale, Philipp Heer, Colin N. Jones:
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach. CoRR abs/2310.00758 (2023) - [i45]Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints. CoRR abs/2310.00962 (2023) - [i44]Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones:
Stable Linear Subspace Identification: A Machine Learning Approach. CoRR abs/2311.03197 (2023) - [i43]Paul Scharnhorst, Baptiste Schubnel, Rafael E. Carrillo, Pierre-Jean Alet, Colin N. Jones:
Risk-aware Scheduling and Dispatch of Flexibility Events in Buildings. CoRR abs/2311.05402 (2023) - [i42]Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones:
SIMBa: System Identification Methods leveraging Backpropagation. CoRR abs/2311.13889 (2023) - 2022
- [j58]Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Resource-Aware Stochastic Self-Triggered Model Predictive Control. IEEE Control. Syst. Lett. 6: 1262-1267 (2022) - [j57]Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Robust Resource-Aware Self-Triggered Model Predictive Control. IEEE Control. Syst. Lett. 6: 1724-1729 (2022) - [j56]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Data-Driven Input Reconstruction and Experimental Validation. IEEE Control. Syst. Lett. 6: 3259-3264 (2022) - [j55]Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Daniel F. Opila:
Scheduling Delays and Curtailment for Household Appliances With Deterministic Load Profiles Using MPC. IEEE Control. Syst. Lett. 6: 3301-3306 (2022) - [j54]Junyi Zhai, Yuning Jiang, Yuanming Shi, Colin N. Jones, Xiao-Ping Zhang:
Distributionally Robust Joint Chance-Constrained Dispatch for Integrated Transmission-Distribution Systems via Distributed Optimization. IEEE Trans. Smart Grid 13(3): 2132-2147 (2022) - [j53]Wenzhi Fang, Ziyi Yu, Yuning Jiang, Yuanming Shi, Colin N. Jones, Yong Zhou:
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning. IEEE Trans. Signal Process. 70: 5058-5073 (2022) - [j52]Peng Yang, Yuning Jiang, Ting Wang, Yong Zhou, Yuanming Shi, Colin N. Jones:
Over-the-Air Federated Learning via Second-Order Optimization. IEEE Trans. Wirel. Commun. 21(12): 10560-10575 (2022) - [c96]Jean Pierre Allamaa, Petr Listov, Herman Van der Auweraer, Colin N. Jones, Tong Duy Son:
Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving. ACC 2022: 1982-1987 - [c95]Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints. ACC 2022: 5288-5293 - [c94]Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones:
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CDC 2022: 1111-1117 - [c93]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. ICCA 2022: 698-703 - [c92]Raphaël Linsen, Petr Listov, Albéric de Lajarte, Roland Schwan, Colin N. Jones:
Optimal Thrust Vector Control of an Electric Small-Scale Rocket Prototype. ICRA 2022: 1996-2002 - [i41]Wenzhi Fang, Ziyi Yu, Yuning Jiang, Yuanming Shi, Colin N. Jones, Yong Zhou:
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning. CoRR abs/2201.09531 (2022) - [i40]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Data-driven input reconstruction and experimental validation. CoRR abs/2203.02827 (2022) - [i39]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control. CoRR abs/2203.05434 (2022) - [i38]Peng Yang, Yuning Jiang, Ting Wang, Yong Zhou, Yuanming Shi, Colin N. Jones:
Over-the-Air Federated Learning via Second-Order Optimization. CoRR abs/2203.15488 (2022) - [i37]Loris Di Natale, Ying Zhao Lian, Emilio Tanowe Maddalena, Jicheng Shi, Colin N. Jones:
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning. CoRR abs/2205.15703 (2022) - [i36]Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Daniel F. Opila:
Scheduling Delays and Curtailment for Household Appliances with Deterministic Load Profiles using MPC. CoRR abs/2206.05697 (2022) - [i35]Ying Zhao Lian, Yuning Jiang, Daniel F. Opila, Colin N. Jones:
An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control. CoRR abs/2206.10425 (2022) - [i34]Roland Schwan, Colin N. Jones, Daniel Kuhn:
Stability Verification of Neural Network Controllers using Mixed-Integer Programming. CoRR abs/2206.13374 (2022) - [i33]Wenjie Xu, Yuning Jiang, Emilio Tanowe Maddalena, Colin N. Jones:
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization. CoRR abs/2209.09655 (2022) - [i32]Paul Scharnhorst, Baptiste Schubnel, Rafael E. Carrillo, Pierre-Jean Alet, Colin N. Jones:
Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models. CoRR abs/2210.03604 (2022) - [i31]Jiawei Wang, Ying Zhao Lian, Yuning Jiang, Qing Xu, Keqiang Li, Colin N. Jones:
Distributed DeeP-LCC for cooperatively smoothing large-scale mixed traffic flow via connected and automated vehicles. CoRR abs/2210.13171 (2022) - [i30]Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones, Giancarlo Ferrari-Trecate:
Physically Consistent Neural ODEs for Learning Multi-Physics Systems. CoRR abs/2211.06130 (2022) - [i29]Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones:
CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints. CoRR abs/2211.11822 (2022) - [i28]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Efficient Reinforcement Learning (ERL): Targeted Exploration Through Action Saturation. CoRR abs/2211.16691 (2022) - [i27]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin Neil Jones:
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. CoRR abs/2212.12380 (2022) - 2021
- [j51]Prabhat Kumar Mishra, Sanket Sanjay Diwale, Colin N. Jones, Debasish Chatterjee:
Reference tracking stochastic model predictive control over unreliable channels and bounded control actions. Autom. 127: 109512 (2021) - [j50]Mario Eduardo Villanueva, Colin N. Jones, Boris Houska:
Towards global optimal control via Koopman lifts. Autom. 132: 109610 (2021) - [j49]Emilio Tanowe Maddalena, Paul Scharnhorst, Colin N. Jones:
Deterministic error bounds for kernel-based learning techniques under bounded noise. Autom. 134: 109896 (2021) - [j48]Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, António M. Pascoal, Colin N. Jones:
A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications. IEEE Trans. Autom. Control. 66(9): 3922-3937 (2021) - [j47]Muhammad Jibran, Hasan Arshad Nasir, Faran A. Qureshi, Usman Ali, Colin N. Jones, Imran Mahmood:
A Demand Response-Based Solution to Overloading in Underdeveloped Distribution Networks. IEEE Trans. Smart Grid 12(5): 4059-4067 (2021) - [c91]Ying Zhao Lian, Colin N. Jones:
From System Level Synthesis to Robust Closed-loop Data-Enabled Predictive Control. CDC 2021: 1478-1483 - [c90]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Robust Learning Model Predictive Control for Periodically Correlated Building Control. ECC 2021: 192-197 - [c89]Yuning Jiang, Petr Listov, Colin N. Jones:
Block BFGS Based Distributed Optimization for NMPC Using PolyMPC. ECC 2021: 2231-2237 - [c88]Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. L4DC 2021: 523-534 - [c87]Emilio Tanowe Maddalena, Paul Scharnhorst, Yuning Jiang, Colin N. Jones:
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees. L4DC 2021: 1015-1026 - [c86]Naomi Stricker, Ying Zhao Lian, Yuning Jiang, Colin N. Jones, Lothar Thiele:
Joint Energy Management for Distributed Energy Harvesting Systems. SenSys 2021: 575-577 - [i26]Ying Zhao Lian, Colin N. Jones:
Nonlinear Data-Enabled Prediction and Control. CoRR abs/2101.03187 (2021) - [i25]Junyan Su, Yuning Jiang, Altug Bitlislioglu, Colin N. Jones, Boris Houska:
Distributed Multi-Building Coordination for Demand Response. CoRR abs/2101.04928 (2021) - [i24]Ying Zhao Lian, Renzi Wang, Colin N. Jones:
Koopman based data-driven predictive control. CoRR abs/2102.05122 (2021) - [i23]Ying Zhao Lian, Colin N. Jones:
From System Level Synthesis to Robust Closed-loop Data-enabled Predictive Control. CoRR abs/2102.06553 (2021) - [i22]Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Resource-Aware Stochastic Self-Triggered Model Predictive Control. CoRR abs/2103.05681 (2021) - [i21]Paul Scharnhorst, Emilio Tanowe Maddalena, Yuning Jiang, Colin N. Jones:
Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach. CoRR abs/2104.09582 (2021) - [i20]Ying Zhao Lian, Jicheng Shi, Manuel Pascal Koch, Colin Neil Jones:
Adaptive Robust Data-driven Building Control via Bi-level Reformulation: an Experimental Result. CoRR abs/2106.05740 (2021) - [i19]Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn, Felix Bünning, John Lygeros, Colin N. Jones, Roy S. Smith:
Distributed Model Predictive Control of Buildings and Energy Hubs. CoRR abs/2110.01734 (2021) - [i18]Jean Pierre Allamaa, Petr Listov, Herman Van der Auweraer, Colin N. Jones, Tong Duy Son:
Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving. CoRR abs/2110.03349 (2021) - [i17]Wenjie Xu, Colin N. Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty:
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints. CoRR abs/2110.07479 (2021) - [i16]Ying Zhao Lian, Yuning Jiang, Naomi Stricker, Lothar Thiele, Colin N. Jones:
Robust Resource-Aware Self-triggered Model Predictive Control. CoRR abs/2112.00860 (2021) - [i15]Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones:
Physically Consistent Neural Networks for building thermal modeling: theory and analysis. CoRR abs/2112.03212 (2021) - [i14]Emilio Tanowe Maddalena, Silvio A. Muller, Rafael M. dos Santos, Christophe Salzmann, Colin N. Jones:
Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use. CoRR abs/2112.07323 (2021) - 2020
- [j46]Emilio Tanowe Maddalena, Colin N. Jones:
NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates. IEEE Control. Syst. Lett. 4(4): 880-885 (2020) - [j45]Ioannis Lymperopoulos, Faran A. Qureshi, Altug Bitlislioglu, Jan Poland, Alessandro Zanarini, Mehmet Mercangöz, Colin N. Jones:
Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses. IEEE Trans. Smart Grid 11(1): 665-672 (2020) - [c85]Ying Zhao Lian, Stefan Wildhagen, Yuning Jiang, Boris Houska, Frank Allgöwer, Colin N. Jones:
Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC. CDC 2020: 685-690 - [i13]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
A Unified Framework for Reinforcement Learning. CoRR abs/2002.06883 (2020) - [i12]Emilio Tanowe Maddalena, Colin Neil Jones:
NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates. CoRR abs/2003.09870 (2020) - [i11]Emilio Tanowe Maddalena, Paul Scharnhorst, Colin N. Jones:
Deterministic error bounds for kernel-based learning techniques under bounded noise. CoRR abs/2008.04005 (2020) - [i10]Harsh A. Shukla, Tafarel de Avila Ferreira, Timm Faulwasser, Dominique Bonvin, Colin N. Jones:
Convergence Certificate for Stochastic Derivative-Free Trust-Region Methods based on Gaussian Processes. CoRR abs/2010.01120 (2020) - [i9]Ugo Rosolia, Ying Zhao Lian, Emilio Tanowe Maddalena, Giancarlo Ferrari-Trecate, Colin N. Jones:
On the Optimality and Convergence Properties of the Learning Model Predictive Controller. CoRR abs/2010.15153 (2020) - [i8]Emilio Tanowe Maddalena, Paul Scharnhorst, Yuning Jiang, Colin N. Jones:
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees. CoRR abs/2011.11303 (2020) - [i7]Jicheng Shi, Ying Zhao Lian, Colin N. Jones:
Robust Learning Model Predictive Control for Periodically Correlated Building Control. CoRR abs/2011.13781 (2020)
2010 – 2019
- 2019
- [j44]Francisco F. C. Rego, António M. Pascoal, A. Pedro Aguiar, Colin N. Jones:
Distributed state estimation for discrete-time linear time invariant systems: A survey. Annu. Rev. Control. 48: 36-56 (2019) - [j43]Giorgos Stathopoulos, Colin N. Jones:
An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization. J. Optim. Theory Appl. 182(3): 1088-1119 (2019) - [j42]Laura Ferranti, Ye Pu, Colin N. Jones, Tamás Keviczky:
SVR-AMA: An Asynchr