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Model Predictive Control

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TitleStatusHype
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach—0
Compositional Synthesis for Linear Systems via Convex Optimization of Assume-Guarantee Contracts—0
Koopman Form of Nonlinear Systems with Inputs—0
The Unscented Transform Controller: a new model predictive control law for highly nonlinear systems—0
Detection and Mitigation of Corrupted Information in Distributed Model Predictive Control Based on Resource Allocation—0
Optimal Trajectory Planning for Connected and Automated Vehicles in Lane-free Traffic with Vehicle Nudging—0
Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking—0
Online Dynamics Learning for Predictive Control with an Application to Aerial RobotsCode1
Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking—0
Nonlinear Model Predictive Control Framework For Cooperative Three-Agent Target Defense Game—0
Data-driven Self-triggered Control via Trajectory Prediction—0
Distributed Safe Learning and Planning for Multi-robot Systems—0
Inverse Resource Rational Based Stochastic Driver Behavior Model—0
Decentralized Model Predictive Control for Equilibrium-based Collaborative UAV Bar TransportationCode0
Koopman-Model Predictive Control with Signal Temporal Logic Specifications for Temperature Regulation of a Warm-Water Supply System—0
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation—0
MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets—0
The Edge of Disaster: A Battle Between Autonomous Racing and Safety—0
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach—0
Stability Verification of Neural Network Controllers using Mixed-Integer ProgrammingCode0
Event-triggered and distributed model predictive control for guaranteed collision avoidance in UAV swarmsCode1
A Proximal-Point Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control—0
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving—0
SMPL: Simulated Industrial Manufacturing and Process Control Learning EnvironmentsCode1
A deterministic view on explicit data-driven (M)PC—0
Scheduling Delays and Curtailment for Household Appliances with Deterministic Load Profiles using MPC—0
A Holistic Robust Motion Controller Framework for Autonomous Platooning—0
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC—0
Formation Tracking for a Multi-Auv System Based on an Adaptive Sliding Mode Method in the Water Flow Environment—0
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory TrackingCode1
A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees—0
Model predictive eco-driving control for heavy-duty trucks using Branch and Bound optimization—0
Receding Horizon Games with Coupling Constraints for Demand-Side Management—0
Data-Driven Linear Koopman Embedding for Networked Systems: Model-Predictive Grid Control—0
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning—0
On the Steady-State Behavior of Finite-Control-Set MPC with an Application to High-Precision Power Amplifiers—0
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions—0
Stability in data-driven MPC: an inherent robustness perspective—0
Model Predictive Control of Non-Holonomic Vehicles: Beyond Differential-Drive—0
Toward smart composites: small-scale, untethered prediction and control for soft sensor/actuator systems—0
Neural Lyapunov Differentiable Predictive Control—0
Economic model predictive control of integrated energy systems: A multi-time-scale framework—0
Stochastic MPC with robustness to bounded parametric uncertainty—0
Approximate Dynamic Programming for Constrained Linear Systems: A Piecewise Quadratic Approximation Approach—0
Statistical Modeling and Forecasting of Automatic Generation Control Signals—0
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems—0
Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines—0
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models—0
InfraRisk: An Open-Source Simulation Platform for Asset-Level Resilience Analysis in Interconnected Infrastructure Networks—0
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection—0
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