{"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/14","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":14,"pages_in_order":16,"rows_per_page":100,"rows":[1301,1400],"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/13","next":"/task/model-predictive-control/papers/15","papers":[{"url":null,"slug":"nonlinear-model-based-guidance-with-deep","title":"Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns","date":"2021-04-06","arxiv_id":"2104.02491","repositories_listed":0,"syntology":null},{"url":null,"slug":"particle-mpc-for-uncertain-and-learning-based","title":"Particle MPC for Uncertain and Learning-Based Control","date":"2021-04-06","arxiv_id":"2104.02213","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-informed-neural-nets-based-control","title":"Physics-Informed Neural Nets for Control of Dynamical Systems","date":"2021-04-06","arxiv_id":"2104.02556","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-in-centralized-nonlinear-model","title":"Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System","date":"2021-04-05","arxiv_id":"2104.01728","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-control-co-design-with-receding","title":"Robust Control Co-Design with Receding-Horizon MPC","date":"2021-04-05","arxiv_id":"2104.02025","repositories_listed":0,"syntology":null},{"url":null,"slug":"suboptimal-multirate-mpc-for-five-level","title":"Suboptimal multirate MPC for five-level inverters","date":"2021-04-05","arxiv_id":"2104.01844","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-inference-mpc-using-tsallis","title":"Variational Inference MPC using Tsallis Divergence","date":"2021-04-01","arxiv_id":"2104.00241","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-reinforcement-learning-for","title":"Generalized Reinforcement Learning for Building Control using Behavioral Cloning","date":"2021-03-31","arxiv_id":"2104.00123","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-generalizable-robotic-reward","title":"Learning Generalizable Robotic Reward Functions from \"In-The-Wild\" Human Videos","date":"2021-03-31","arxiv_id":"2103.16817","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributionally-robust-trajectory","title":"Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions","date":"2021-03-29","arxiv_id":"2103.15388","repositories_listed":0,"syntology":null},{"url":null,"slug":"backup-plan-constrained-model-predictive","title":"Backup Plan Constrained Model Predictive Control","date":"2021-03-27","arxiv_id":"2103.14819","repositories_listed":0,"syntology":null},{"url":null,"slug":"boundary-control-of-traffic-congestion","title":"Boundary Control of Traffic Congestion Modeled as a Non-stationary Stochastic Process","date":"2021-03-26","arxiv_id":"2103.14278","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-koopman-operator-based-model-predictive","title":"Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy","date":"2021-03-26","arxiv_id":"2103.14321","repositories_listed":0,"syntology":null},{"url":null,"slug":"imitation-learning-from-mpc-for-quadrupedal","title":"Imitation Learning from MPC for Quadrupedal Multi-Gait Control","date":"2021-03-26","arxiv_id":"2103.14331","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-implementation-of-mpc-for-tracking","title":"Real-time implementation of MPC for tracking in embedded systems: Application to a two-wheeled inverted pendulum","date":"2021-03-26","arxiv_id":"2103.14571","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-experiment-design-and-control-for","title":"Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes","date":"2021-03-25","arxiv_id":"2103.14156","repositories_listed":0,"syntology":null},{"url":null,"slug":"experimental-validation-of-linear-and","title":"Experimental Validation of Linear and Nonlinear MPC on an Articulated Unmanned Ground Vehicle","date":"2021-03-25","arxiv_id":"2103.13800","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-mpc-based-conflict-resolution-using","title":"Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM","date":"2021-03-25","arxiv_id":"2103.14118","repositories_listed":0,"syntology":null},{"url":null,"slug":"constrained-deep-learning-based-model","title":"Constrained Deep Learning Based Nonlinear Model Predictive Control","date":"2021-03-24","arxiv_id":"2103.13514","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-and-efficient-model-predictive","title":"Adaptive and Efficient Model Predictive Control for Booster Reentry","date":"2021-03-22","arxiv_id":"2103.12536","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-based-on-mpc-mhe-for","title":"Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics","date":"2021-03-22","arxiv_id":"2103.11871","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-based-on-scenario-tree","title":"Reinforcement Learning based on Scenario-tree MPC for ASVs","date":"2021-03-22","arxiv_id":"2103.11949","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-precision-control-and-deep-learning","title":"High precision control and deep learning-based corn stand counting algorithms for agricultural robot","date":"2021-03-21","arxiv_id":"2103.11276","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-period-portfolio-optimization-using","title":"Multi-Period Portfolio Optimization using Model Predictive Control with Mean-Variance and Risk Parity Frameworks","date":"2021-03-19","arxiv_id":"2103.10813","repositories_listed":0,"syntology":null},{"url":null,"slug":"finite-word-length-fpga-implementation-of","title":"Finite-word-length FPGA implementation of model predictive control for ITER resistive wall mode control","date":"2021-03-18","arxiv_id":"2103.10146","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-approach-to-disturbance-rejection-in","title":"A Novel Approach to Disturbance Rejection in Constrained Model Predictive Control","date":"2021-03-17","arxiv_id":"2103.09865","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-making-of-connected-automated","title":"Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours","date":"2021-03-14","arxiv_id":"2103.07910","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-dual-implementation-of-collision","title":"On the Dual Implementation of Collision-Avoidance Constraints in Path-Following MPC for Underactuated Surface Vessels","date":"2021-03-10","arxiv_id":"2103.06085","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-gaussian-processes-and-polynomial","title":"Combining Gaussian processes and polynomial chaos expansions for stochastic nonlinear model predictive control","date":"2021-03-09","arxiv_id":"2103.05441","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-generalizable-robotic-reward-1","title":"Learning Generalizable Robotic Reward Functions from \"In-The-Wild\" Human Videos","date":"2021-03-09","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"step-stochastic-traversability-evaluation-and","title":"STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation","date":"2021-03-04","arxiv_id":"2103.02828","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-system-level-approach-to-robust-model","title":"A System Level Approach to Tube-based Model Predictive Control","date":"2021-03-03","arxiv_id":"2103.02460","repositories_listed":0,"syntology":null},{"url":null,"slug":"infrastructure-assisted-constrained-connected","title":"Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate","date":"2021-03-01","arxiv_id":"2103.00699","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-agent-path-planning-based-on-mpc-and","title":"Multi-Agent Path Planning based on MPC and DDPG","date":"2021-02-26","arxiv_id":"2102.13283","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-adaptive-model-predictive-control-of","title":"Robust Adaptive Model Predictive Control of Quadrotors","date":"2021-02-26","arxiv_id":"2102.13544","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-to-go-next-learning-a-subgoal","title":"Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians","date":"2021-02-25","arxiv_id":"2102.13073","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-model-predictive-control","title":"Recurrent Model Predictive Control","date":"2021-02-23","arxiv_id":"2102.11736","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-order-reduction-for-water-quality","title":"Model Order Reduction for Water Quality Dynamics","date":"2021-02-22","arxiv_id":"2102.10737","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-of-the-prediction","title":"Reinforcement Learning of the Prediction Horizon in Model Predictive Control","date":"2021-02-22","arxiv_id":"2102.11122","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-model-predictive-control-1","title":"Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems","date":"2021-02-20","arxiv_id":"2102.10289","repositories_listed":0,"syntology":null},{"url":null,"slug":"interplay-of-mpc-and-the-viability-kernel","title":"On MPC without terminal conditions for dynamic non-holonomic robots","date":"2021-02-18","arxiv_id":"2102.09290","repositories_listed":0,"syntology":null},{"url":null,"slug":"transient-performance-of-tube-based-robust","title":"Transient Performance of Tube-based Robust Economic Model Predictive Control","date":"2021-02-18","arxiv_id":"2102.09404","repositories_listed":0,"syntology":null},{"url":null,"slug":"aperiodic-communication-for-mpc-in-autonomous","title":"Aperiodic Communication for MPC in Autonomous Cooperative Landing","date":"2021-02-15","arxiv_id":"2102.07403","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-interaction-aware-trajectory","title":"Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments","date":"2021-02-10","arxiv_id":"2102.05382","repositories_listed":0,"syntology":null},{"url":null,"slug":"increasing-energy-resiliency-to-hurricanes","title":"Increasing Energy Resiliency to Hurricanes with Battery and Rooftop Solar Through Intelligent Control","date":"2021-02-08","arxiv_id":"2102.04406","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-balanced-mode-decomposition-algorithm-for","title":"The Balanced Mode Decomposition Algorithm for Data-Driven LPV Low-Order Models of Aeroservoelastic Systems","date":"2021-02-07","arxiv_id":"2102.03763","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-controllability-and-persistency-of","title":"On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma","date":"2021-02-05","arxiv_id":"2102.02953","repositories_listed":0,"syntology":null},{"url":null,"slug":"keep-it-simple-data-efficient-learning-for","title":"Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models","date":"2021-02-04","arxiv_id":"2102.02493","repositories_listed":0,"syntology":null},{"url":null,"slug":"stability-constrained-markov-decision","title":"Stability-Constrained Markov Decision Processes Using MPC","date":"2021-02-02","arxiv_id":"2102.01383","repositories_listed":0,"syntology":null},{"url":null,"slug":"conservation-based-modeling-and-boundary","title":"Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia","date":"2021-01-31","arxiv_id":"2102.00552","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-trajectory-planning-and-model","title":"Optimal Trajectory Planning and Model Predictive Control of Underactuated Marine Surface Vessels using a Flatness-Based Approach","date":"2021-01-29","arxiv_id":"2101.12730","repositories_listed":0,"syntology":null},{"url":null,"slug":"chance-constrained-sets-approximation-a","title":"Chance constrained sets approximation: A probabilistic scaling approach -- EXTENDED VERSION","date":"2021-01-15","arxiv_id":"2101.06052","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-and-fast-adaptation-for-grid","title":"Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning","date":"2021-01-13","arxiv_id":"2101.05317","repositories_listed":0,"syntology":null},{"url":null,"slug":"stability-and-performance-in-mpc-using-a","title":"Stability and performance in MPC using a finite-tail cost","date":"2021-01-12","arxiv_id":"2101.04738","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-actor-critic-with-chance","title":"Model-Based Actor-Critic with Chance Constraint for Stochastic System","date":"2020-12-19","arxiv_id":"2012.10716","repositories_listed":0,"syntology":null},{"url":null,"slug":"reduction-of-the-number-of-variables-in","title":"Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems","date":"2020-12-18","arxiv_id":"2012.10423","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-attacks-on-kalman-filter-based","title":"Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems","date":"2020-12-16","arxiv_id":"2012.08704","repositories_listed":0,"syntology":null},{"url":null,"slug":"safe-reinforcement-learning-with-stability","title":"Learning for MPC with Stability & Safety Guarantees","date":"2020-12-14","arxiv_id":"2012.07369","repositories_listed":0,"syntology":null},{"url":null,"slug":"blending-mpc-value-function-approximation-for-1","title":"Blending MPC & Value Function Approximation for Efficient Reinforcement Learning","date":"2020-12-10","arxiv_id":"2012.05909","repositories_listed":0,"syntology":null},{"url":null,"slug":"maximum-likelihood-signal-matrix-model-for","title":"Maximum Likelihood Signal Matrix Model for Data-Driven Predictive Control","date":"2020-12-08","arxiv_id":"2012.04678","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-model-predictive-control-method","title":"Data-driven Model Predictive Control Method for DFIG-based Wind Farm to Provide Primary Frequency Regulation Service","date":"2020-12-07","arxiv_id":"2012.03732","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-approach-to-state-signal-shaping-by-limit","title":"An Approach to State Signal Shaping by Limit Cycle Model Predictive Control","date":"2020-12-04","arxiv_id":"2012.02697","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-plant-mismatch-learning-offset-free","title":"Model-plant mismatch learning offset-free model predictive control","date":"2020-12-04","arxiv_id":"2012.02753","repositories_listed":0,"syntology":null},{"url":null,"slug":"scenario-based-nonlinear-model-predictive","title":"Scenario-based Nonlinear Model Predictive Control for Building Heating Systems","date":"2020-12-03","arxiv_id":"2012.02011","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-control-with-and-without","title":"Stability of Finite Horizon Optimisation based Control without Terminal Weight","date":"2020-11-28","arxiv_id":"2011.14193","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-learning-model-predictive-control-for-1","title":"Robust Learning Model Predictive Control for Periodically Correlated Building Control","date":"2020-11-27","arxiv_id":"2011.13781","repositories_listed":0,"syntology":null},{"url":null,"slug":"input-convex-neural-networks-for-building-mpc","title":"Input Convex Neural Networks for Building MPC","date":"2020-11-26","arxiv_id":"2011.13227","repositories_listed":0,"syntology":null},{"url":null,"slug":"computation-of-feedback-control-laws-based-on","title":"Computation of Feedback Control Laws Based on Switched Tracking of Demonstrations","date":"2020-11-25","arxiv_id":"2011.12639","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepkoco-efficient-latent-planning-with-an","title":"DeepKoCo: Efficient latent planning with a task-relevant Koopman representation","date":"2020-11-25","arxiv_id":"2011.12690","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-sensitive-motion-planning-using-entropic","title":"Risk-Sensitive Motion Planning using Entropic Value-at-Risk","date":"2020-11-23","arxiv_id":"2011.11211","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-learning-based-risk-averse-stochastic","title":"Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems","date":"2020-11-20","arxiv_id":"2011.11441","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-stability-of-suboptimal-moving-horizon","title":"Robust Stability of Suboptimal Moving Horizon Estimation using an Observer-Based Candidate Solution","date":"2020-11-17","arxiv_id":"2011.08723","repositories_listed":0,"syntology":null},{"url":null,"slug":"constrained-model-free-reinforcement-learning","title":"Constrained Model-Free Reinforcement Learning for Process Optimization","date":"2020-11-16","arxiv_id":"2011.07925","repositories_listed":0,"syntology":null},{"url":null,"slug":"utilizing-dependencies-to-obtain-subsets-of","title":"Utilizing Dependencies to Obtain Subsets of Reachable Sets","date":"2020-11-16","arxiv_id":"1910.08354","repositories_listed":0,"syntology":null},{"url":null,"slug":"stein-variational-model-predictive-control","title":"Stein Variational Model Predictive Control","date":"2020-11-15","arxiv_id":"2011.07641","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-human-level-learning-of-complex","title":"Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation","date":"2020-11-14","arxiv_id":"2011.07193","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-predictive-models-for-ergonomic","title":"Learning Predictive Models for Ergonomic Control of Prosthetic Devices","date":"2020-11-13","arxiv_id":"2011.07005","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-gradual-takeover-strategy-of-the-active","title":"A Gradual Takeover Strategy of the Active Safety System","date":"2020-11-12","arxiv_id":"1910.04323","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-alternative-to-explicit-model","title":"Deep Learning Alternative to Explicit Model Predictive Control for Unknown Nonlinear Systems","date":"2020-11-07","arxiv_id":"2011.03699","repositories_listed":0,"syntology":null},{"url":null,"slug":"reactive-motion-planning-with-probabilistics","title":"Reactive motion planning with probabilistic safety guarantees","date":"2020-11-06","arxiv_id":"2011.03590","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-gauss-newton-like-hessian-approximation-for","title":"A Gauss-Newton-Like Hessian Approximation for Economic NMPC","date":"2020-10-28","arxiv_id":"2007.13519","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-modular-framework-for-distributed-model","title":"A Modular Framework for Distributed Model Predictive Control of Nonlinear Continuous-Time Systems (GRAMPC-D)","date":"2020-10-23","arxiv_id":"2010.12315","repositories_listed":0,"syntology":null},{"url":"/paper/a-software-architecture-for-autonomous","slug":"a-software-architecture-for-autonomous","title":"A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge","date":"2020-10-23","arxiv_id":"2010.12598","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-space-models-for-building-control-how","title":"State space models for building control: how deep should you go?","date":"2020-10-23","arxiv_id":"2010.12257","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-nonlinear-tracking-model-predictive-control","title":"A nonlinear tracking model predictive control scheme for dynamic target signals","date":"2020-10-20","arxiv_id":"1911.03304","repositories_listed":0,"syntology":null},{"url":null,"slug":"stability-and-performance-in-transient","title":"Stability and performance in transient average constrained economic MPC without terminal constraints","date":"2020-10-20","arxiv_id":"1911.03210","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-inverse-reinforcement-learning","title":"Model-Based Inverse Reinforcement Learning from Visual Demonstrations","date":"2020-10-18","arxiv_id":"2010.09034","repositories_listed":0,"syntology":null},{"url":null,"slug":"minimizing-pumping-energy-cost-in-real-time","title":"Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control","date":"2020-10-15","arxiv_id":"2010.07477","repositories_listed":0,"syntology":null},{"url":null,"slug":"chance-constrained-stochastic-mpc-of","title":"Chance-constrained Stochastic MPC of Astlingen Urban Drainage Benchmark Network","date":"2020-10-14","arxiv_id":"2010.06883","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentiable-implicit-layers","title":"Differentiable Implicit Layers","date":"2020-10-14","arxiv_id":"2010.07078","repositories_listed":0,"syntology":null},{"url":null,"slug":"grid-interactive-multi-zone-building-control","title":"Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search","date":"2020-10-13","arxiv_id":"2010.06718","repositories_listed":0,"syntology":null},{"url":null,"slug":"heteroscedastic-bayesian-optimisation-for","title":"Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control","date":"2020-10-01","arxiv_id":"2010.00202","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-exploration-for-model-based","title":"Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-lyapunov-model-predictive-control","title":"Neural Lyapunov Model Predictive Control","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"output-feedback-model-predictive-control-with","title":"Output-Feedback Model Predictive Control with Online Identification","date":"2020-09-22","arxiv_id":"2009.10631","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-output-feedback-mpc-with","title":"Stochastic output feedback MPC with intermittent observations","date":"2020-09-22","arxiv_id":"2009.11071","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-model-predictive-control-with-a","title":"Stochastic Model Predictive Control with a Safety Guarantee for Automated Driving: Extended Version","date":"2020-09-20","arxiv_id":"2009.09381","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-and-flow-effects-of-optimal-automated","title":"Energy and Flow Effects of Optimal Automated Driving in Mixed Traffic: Vehicle-in-the-Loop Experimental Results","date":"2020-09-16","arxiv_id":"2009.07872","repositories_listed":0,"syntology":null},{"url":null,"slug":"trajectory-planning-with-a-dynamic-obstacle","title":"Trajectory planning with a dynamic obstacle clustering strategy using Mixed-Integer Linear Programming","date":"2020-09-16","arxiv_id":"2009.07818","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-and-robust-mpc-for-frequency","title":"Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps","date":"2020-09-15","arxiv_id":"2009.06920","repositories_listed":0,"syntology":null}],"record_sha256":"d28567c626d5f3b15c287eeed9b2bec2417d86fc5fb9b9f72ecb63c75a90a352","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}