{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/model-predictive-control/papers/10","list_of":"/task/model-predictive-control","task":"Model Predictive Control","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":10,"pages_in_order":16,"rows_per_page":100,"rows":[901,1000],"of":1582,"counts":{"archive_papers_tagged":1582,"with_a_code_link":260,"where_syntology_ran_a_sample":20,"not_listed_spam_title":0,"listed":1582,"listed_where_code_ran":20,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":19,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":19,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/model-predictive-control","prev":"/task/model-predictive-control/papers/9","next":"/task/model-predictive-control/papers/11","papers":[{"url":null,"slug":"comparison-of-artificial-neural-network","title":"Comparison of artificial neural network adaptive control techniques for a nonlinear system with delay","date":"2023-04-26","arxiv_id":"2304.13468","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-mpc-based-strategies-for-optimal-voltage","title":"On MPC-based Strategies for Optimal Voltage References in DC Microgrids","date":"2023-04-26","arxiv_id":"2304.13495","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hierarchical-adaptive-nonlinear-model","title":"A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles","date":"2023-04-24","arxiv_id":"2304.12263","repositories_listed":0,"syntology":null},{"url":null,"slug":"development-and-evaluation-of-an-online-home","title":"Development and Evaluation of an Online Home Energy Management Strategy for Load Coordination in Smart Homes with Renewable Energy Sources","date":"2023-04-23","arxiv_id":"2304.11770","repositories_listed":0,"syntology":null},{"url":null,"slug":"exact-worst-case-execution-time-analysis-for","title":"Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control","date":"2023-04-23","arxiv_id":"2304.11576","repositories_listed":0,"syntology":null},{"url":null,"slug":"unmatched-uncertainty-mitigation-through","title":"Unmatched uncertainty mitigation through neural network supported model predictive control","date":"2023-04-22","arxiv_id":"2304.11315","repositories_listed":0,"syntology":null},{"url":null,"slug":"filter-aware-model-predictive-control","title":"Filter-Aware Model-Predictive Control","date":"2023-04-20","arxiv_id":"2304.10246","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-search-planning-in-3-d","title":"Distributed Search Planning in 3-D Environments With a Dynamically Varying Number of Agents","date":"2023-04-18","arxiv_id":"2304.08932","repositories_listed":0,"syntology":null},{"url":null,"slug":"error-bounds-for-maxout-neural-network","title":"Error bounds for maxout neural network approximations of model predictive control","date":"2023-04-18","arxiv_id":"2304.08779","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-model-predictive-control-using-1","title":"Stochastic Model Predictive Control using Initial State and Variance Interpolation","date":"2023-04-14","arxiv_id":"2304.07122","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-nonlinear-model-predictive-control","title":"Real-time Nonlinear Model Predictive Control using One-step Optimizations and Reachable Sets","date":"2023-04-12","arxiv_id":"2304.05768","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-residual-model-of-model-predictive","title":"Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving","date":"2023-04-10","arxiv_id":"2304.04366","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-hvac-control-using-symbolic","title":"Data-driven HVAC Control Using Symbolic Regression: Design and Implementation","date":"2023-04-06","arxiv_id":"2304.03078","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-model-predictive-control-for-3","title":"Distributed Model Predictive Control for Periodic Cooperation of Multi-Agent Systems","date":"2023-04-06","arxiv_id":"2304.03002","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-stability-attention-in-vision-based","title":"Learning Stability Attention in Vision-based End-to-end Driving Policies","date":"2023-04-05","arxiv_id":"2304.02733","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-control-for-multi-agent","title":"Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology","date":"2023-04-04","arxiv_id":"2304.01649","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-obstacle-collision-avoidance-via","title":"Moving Obstacle Collision Avoidance via Chance-Constrained MPC with CBF","date":"2023-04-04","arxiv_id":"2304.01639","repositories_listed":0,"syntology":null},{"url":null,"slug":"imitation-learning-from-nonlinear-mpc-via-the","title":"Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation","date":"2023-04-03","arxiv_id":"2304.01782","repositories_listed":0,"syntology":null},{"url":null,"slug":"prediction-based-leader-follower-rendezvous","title":"Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses","date":"2023-04-03","arxiv_id":"2304.01045","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-impact-of-regularization-in-data","title":"On the impact of regularization in data-driven predictive control","date":"2023-04-01","arxiv_id":"2304.00263","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-stochastic-mpc-formulations-with-closed","title":"On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework","date":"2023-03-31","arxiv_id":"2304.00069","repositories_listed":0,"syntology":null},{"url":null,"slug":"computationally-efficient-predictive-control","title":"Computationally efficient predictive control based on ANN state-space models","date":"2023-03-30","arxiv_id":"2303.17305","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-offset-free-constrained-model","title":"Robust offset-free constrained Model Predictive Control with Long Short-Term Memory Networks -- Extended version","date":"2023-03-30","arxiv_id":"2303.17304","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-deep-learning-of-robust-adaptive","title":"Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation","date":"2023-03-28","arxiv_id":"2303.15688","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-term-experimental-study-of-price","title":"Long-term experimental study of price responsive predictive control in a real occupied single-family house with heat pump","date":"2023-03-28","arxiv_id":"2303.16289","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuum-swarm-tracking-control-a-geometric","title":"Continuum Swarm Tracking Control: A Geometric Perspective in Wasserstein Space","date":"2023-03-27","arxiv_id":"2303.15638","repositories_listed":0,"syntology":null},{"url":null,"slug":"control-oriented-modeling-of-a-libr-h2o","title":"Control-oriented modeling of a LiBr/H2O absorption heat pumping device and experimental validation","date":"2023-03-27","arxiv_id":"2303.15097","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-model-predictive-control-utilizing","title":"Stochastic Model Predictive Control Utilizing Bayesian Neural Networks","date":"2023-03-25","arxiv_id":"2303.14519","repositories_listed":0,"syntology":null},{"url":null,"slug":"once-upon-a-time-step-a-closed-loop-approach","title":"Once upon a time step: A closed-loop approach to robust MPC design","date":"2023-03-20","arxiv_id":"2303.11021","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-nonlinear-model-predictive-control","title":"Ensemble Nonlinear Model Predictive Control for Residential Solar-Battery Energy Management","date":"2023-03-18","arxiv_id":"2303.10393","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-systems-neural-control-with-region-of","title":"Hybrid Systems Neural Control with Region-of-Attraction Planner","date":"2023-03-18","arxiv_id":"2303.10327","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-based-model-predictive","title":"Active Learning-based Model Predictive Coverage Control","date":"2023-03-17","arxiv_id":"2303.09910","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-approach-for-output-feedback","title":"An Improved Approach for Output Feedback Model Predictive Control of Hybrid Systems","date":"2023-03-13","arxiv_id":"2303.07509","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-data-augmentation-scheme-for","title":"An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation","date":"2023-03-09","arxiv_id":"2303.05607","repositories_listed":0,"syntology":null},{"url":null,"slug":"lmi-based-data-driven-robust-model-predictive","title":"LMI-based Data-Driven Robust Model Predictive Control","date":"2023-03-08","arxiv_id":"2303.04777","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-control-with-gaussian-1","title":"Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles","date":"2023-03-08","arxiv_id":"2303.04725","repositories_listed":0,"syntology":null},{"url":null,"slug":"conbat-control-barrier-transformer-for-safe","title":"ConBaT: Control Barrier Transformer for Safe Policy Learning","date":"2023-03-07","arxiv_id":"2303.04212","repositories_listed":0,"syntology":null},{"url":null,"slug":"reduced-order-model-predictive-control-of-a","title":"Reduced-Order Model Predictive Control of a Fish Schooling Model","date":"2023-03-04","arxiv_id":"2303.02334","repositories_listed":0,"syntology":null},{"url":null,"slug":"co-optimization-of-adaptive-cruise-control","title":"Co-Optimization of Adaptive Cruise Control and Hybrid Electric Vehicle Energy Management via Model Predictive Mixed Integer Control","date":"2023-03-02","arxiv_id":"2303.01218","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-efficient-explainable-and-safe-payload","title":"Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control","date":"2023-03-02","arxiv_id":"2303.01563","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cooperation-aware-lane-change-method-for-1","title":"A Cooperation-Aware Lane Change Method for Automated Vehicles","date":"2023-03-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-model-predictive-control","title":"Deep Model Predictive Control","date":"2023-02-27","arxiv_id":"2302.13558","repositories_listed":0,"syntology":null},{"url":null,"slug":"puppeteer-and-marionette-learning","title":"Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive","date":"2023-02-26","arxiv_id":"2302.13378","repositories_listed":0,"syntology":null},{"url":null,"slug":"uav-path-planning-employing-mpc-reinforcement","title":"UAV Path Planning Employing MPC- Reinforcement Learning Method Considering Collision Avoidance","date":"2023-02-21","arxiv_id":"2302.10669","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-predictive-control-framework-for","title":"A Model Predictive Control Framework for Improving Risk-Tolerance of Manufacturing Systems","date":"2023-02-16","arxiv_id":"2302.08031","repositories_listed":0,"syntology":null},{"url":null,"slug":"lattice-piecewise-affine-approximation-of","title":"Lattice piecewise affine approximation of explicit nonlinear model predictive control with application to trajectory tracking of mobile robot","date":"2023-02-16","arxiv_id":"2302.08039","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-tool-selection-with-learned-grasp","title":"Online Tool Selection with Learned Grasp Prediction Models","date":"2023-02-15","arxiv_id":"2302.07940","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-modeling-optimization-and","title":"Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics","date":"2023-02-04","arxiv_id":"2302.02177","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-data-driven-modeling-and-control-framework","title":"Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)","date":"2023-01-31","arxiv_id":"2301.13447","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-recurrent-reinforcement","title":"Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving","date":"2023-01-30","arxiv_id":"2301.13313","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimization-and-scheduling-for-a-large-scale","title":"Optimization and scheduling for a large scale urban transportation system in a fast-changing world","date":"2023-01-28","arxiv_id":"2301.12087","repositories_listed":0,"syntology":null},{"url":null,"slug":"forecaster-aided-user-association-and-load","title":"Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks","date":"2023-01-23","arxiv_id":"2301.09294","repositories_listed":0,"syntology":null},{"url":null,"slug":"planning-and-tracking-control-of-full-drive","title":"Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario","date":"2023-01-07","arxiv_id":"2301.02753","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-based-mpc-from-big-data-using","title":"Learning-based MPC from Big Data Using Reinforcement Learning","date":"2023-01-04","arxiv_id":"2301.01667","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-based-model-predictive-control-for-4","title":"Learning-Based Model Predictive Control for the Energy Management of Hybrid Electric Vehicles Including Driving Mode Decisions","date":"2023-01-03","arxiv_id":"2301.01205","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-map-based-model-predictive-control-approach","title":"A map-based model predictive control approach for train operation","date":"2023-01-02","arxiv_id":"2301.00614","repositories_listed":0,"syntology":null},{"url":null,"slug":"cost-minimization-predictive-energy","title":"Cost-minimization predictive energy management of a postal-delivery fuel cell electric vehicle with intelligent battery State-of-Charge Planner","date":"2022-12-28","arxiv_id":"2212.13661","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-for-heat-pump","title":"Deep Reinforcement Learning for Heat Pump Control","date":"2022-12-24","arxiv_id":"2212.12716","repositories_listed":0,"syntology":null},{"url":null,"slug":"set-membership-based-nonlinear-model","title":"Set Membership based Nonlinear Model Predictive Control","date":"2022-12-23","arxiv_id":"2212.12414","repositories_listed":0,"syntology":null},{"url":null,"slug":"frenet-cartesian-model-representations-for","title":"Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC","date":"2022-12-22","arxiv_id":"2212.13115","repositories_listed":0,"syntology":null},{"url":null,"slug":"standoff-tracking-using-dnn-based-mpc-with","title":"Standoff Tracking Using DNN-Based MPC with Implementation on FPGA","date":"2022-12-21","arxiv_id":"2212.10945","repositories_listed":0,"syntology":null},{"url":null,"slug":"treating-hyperthyroidism-model-predictive","title":"Modeling and Predictive Control for the Treatment of Hyperthyroidism","date":"2022-12-20","arxiv_id":"2212.10096","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-control-for-neuromimetic","title":"Model Predictive Control for Neuromimetic Quantized Systems","date":"2022-12-19","arxiv_id":"2212.09887","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-approaches-to-distributed-control","title":"Comparing Approaches to Distributed Control of Fluid Systems based on Multi-Agent Systems","date":"2022-12-16","arxiv_id":"2212.08450","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-predictive-operation-controller-for-an","title":"A Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures","date":"2022-12-14","arxiv_id":"2212.07078","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-is-the-best-way-to-optimally","title":"What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?","date":"2022-12-11","arxiv_id":"2212.06561","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-control-algorithms-for-the","title":"Model-based control algorithms for the quadruple tank system: An experimental comparison","date":"2022-12-09","arxiv_id":"2212.04798","repositories_listed":0,"syntology":null},{"url":null,"slug":"bi-level-optimization-augmented-with","title":"Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic","date":"2022-12-05","arxiv_id":"2212.02224","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-sampling-distributions-for-model","title":"Learning Sampling Distributions for Model Predictive Control","date":"2022-12-05","arxiv_id":"2212.02587","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-optimize-in-model-predictive","title":"Learning to Optimize in Model Predictive Control","date":"2022-12-05","arxiv_id":"2212.02603","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-control-tuning-by-monte","title":"Model Predictive Control Tuning by Monte Carlo Simulation and Controller Matching","date":"2022-12-05","arxiv_id":"2212.02142","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-quantification-of-a-nonlinear","title":"Performance Quantification of a Nonlinear Model Predictive Controller by Parallel Monte Carlo Simulations of a Closed-loop System","date":"2022-12-05","arxiv_id":"2212.02197","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-robust-model-predictive-control-via","title":"Adaptive Robust Model Predictive Control via Uncertainty Cancellation","date":"2022-12-02","arxiv_id":"2212.01371","repositories_listed":0,"syntology":null},{"url":null,"slug":"linear-data-driven-economic-mpc-with","title":"Linear Data-Driven Economic MPC with Generalized Terminal Constraint","date":"2022-12-02","arxiv_id":"2212.01099","repositories_listed":0,"syntology":null},{"url":null,"slug":"predict-and-critic-accelerated-end-to-end","title":"Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning","date":"2022-12-02","arxiv_id":"2212.01348","repositories_listed":0,"syntology":null},{"url":null,"slug":"lqg-for-constrained-linear-systems-indirect","title":"LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering","date":"2022-12-01","arxiv_id":"2212.00351","repositories_listed":0,"syntology":null},{"url":null,"slug":"predictive-control-with-learning-based","title":"Predictive Control with Learning-Based Terminal Costs Using Approximate Value Iteration","date":"2022-12-01","arxiv_id":"2212.00361","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-vehicle-speed-prediction","title":"Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urban and Highway Scenarios","date":"2022-11-30","arxiv_id":"2212.00149","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigation-of-proper-orthogonal","title":"Investigation of Proper Orthogonal Decomposition for Echo State Networks","date":"2022-11-30","arxiv_id":"2211.17179","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-learning-model-predictive","title":"Collaborative learning model predictive control for repetitive tasks","date":"2022-11-29","arxiv_id":"2211.16633","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-adaptive-mpc-using-an-exact-set","title":"Dual adaptive MPC using an exact set-membership reformulation","date":"2022-11-29","arxiv_id":"2211.16300","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-critical-review-of-traffic-signal-control","title":"A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control","date":"2022-11-26","arxiv_id":"2211.14426","repositories_listed":0,"syntology":null},{"url":null,"slug":"asynchronous-computation-of-tube-based-model","title":"Asynchronous Computation of Tube-based Model Predictive Control","date":"2022-11-24","arxiv_id":"2211.13725","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-enhanced-nonlinear-model-predictive","title":"Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles","date":"2022-11-24","arxiv_id":"2211.13829","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-agnostic-stochastic-model-predictive","title":"Model-agnostic stochastic model predictive control","date":"2022-11-23","arxiv_id":"2211.13012","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-computationally-efficient-robust-model","title":"A Computationally Efficient Robust Model Predictive Control Framework for Ecological Adaptive Cruise Control Strategy of Electric Vehicles","date":"2022-11-21","arxiv_id":"2211.11306","repositories_listed":0,"syntology":null},{"url":null,"slug":"safety-critical-model-predictive-control-with-1","title":"Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments","date":"2022-11-21","arxiv_id":"2211.11348","repositories_listed":0,"syntology":null},{"url":null,"slug":"nonlinear-moving-horizon-estimation-and-model","title":"Nonlinear Moving Horizon Estimation and Model Predictive Control for Buildings with Unknown HVAC Dynamics","date":"2022-11-18","arxiv_id":"2211.10097","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-aware-data-driven-predictive","title":"Uncertainty-aware data-driven predictive control in a stochastic setting","date":"2022-11-18","arxiv_id":"2211.10321","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-projected-gradient-based-nonlinear","title":"Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control","date":"2022-11-14","arxiv_id":"2211.07295","repositories_listed":0,"syntology":null},{"url":null,"slug":"stability-and-robustness-of-distributed","title":"Stability and Robustness of Distributed Suboptimal Model Predictive Control","date":"2022-11-14","arxiv_id":"2211.07341","repositories_listed":0,"syntology":null},{"url":null,"slug":"economic-potential-for-hybrid-electric","title":"Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC","date":"2022-11-12","arxiv_id":"2211.06580","repositories_listed":0,"syntology":null},{"url":null,"slug":"control-lyapunov-barrier-function-based-model","title":"Control Lyapunov-Barrier Function Based Model Predictive Control for Stochastic Nonlinear Affine Systems","date":"2022-11-11","arxiv_id":"2211.06175","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-for-predictive-control-a-dual","title":"Learning For Predictive Control: A Dual Gaussian Process Approach","date":"2022-11-07","arxiv_id":"2211.03699","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-vehicle-highway-merging-motion","title":"Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC","date":"2022-11-04","arxiv_id":"2211.02225","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-transactive-control-of-coupled","title":"Toward Transactive Control of Coupled Electric Power and District Heating Networks","date":"2022-11-04","arxiv_id":"2211.02357","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-primary-frequency-control-strategy-for","title":"A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control","date":"2022-11-01","arxiv_id":"2211.00206","repositories_listed":0,"syntology":null},{"url":null,"slug":"havok-model-predictive-control-for-time-delay","title":"HAVOK Model Predictive Control for Time-Delay Systems with Applications to District Heating","date":"2022-10-31","arxiv_id":"2211.00134","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-inverter-based-resources-placement-in","title":"Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems","date":"2022-10-28","arxiv_id":"2210.15839","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-averse-model-predictive-control-for","title":"Risk-Averse Model Predictive Control for Priced Timed Automata","date":"2022-10-27","arxiv_id":"2210.15604","repositories_listed":0,"syntology":null}],"record_sha256":"d1eeb3219192ba96ea0d8cf495c85d241ab211e9dec983ddd82f35d841cdae67","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}