Predictive Neuromorphic Control of a Scanning Mirror System: An Event-Centric Framework
1 version
BS
Bart De Schutter
cs.SYeess.SYmath.OCcs.LGcs.ROcs.AIcs.MAstat.APcs.CVq-fin.ST
On Valency
published · living versionsPreprints & journals
95 papers in the corpus · 2009–2026Distributed Motion Planning for Multi-Robot Systems under Topological Constraints
0 citations
Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control
0 citations
Asynchronous Model Predictive Control Under Model Mismatch: Stability and Performance Guarantees
0 citations
Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks
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On the Value Function of Infinite-Horizon Optimal Control of Piecewise Affine Systems
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Entanglement-Free Trajectory Planning for Tethered Mobile Robots with a Slack Tether
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Learning-Based Stochastic Optimal Control with Infinite-Horizon Probabilistic Constraints
0 citations
Current Practices in Electricy Demand and Charging Scheduling for On-Road Electric Fleet Operations: An Industry-Wide Review
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Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization
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Integrated Online Monitoring and Adaptation of Process Model Predictive Controllers
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Dodging the Moose: Experimental Insights in Real-Life Automated Collision Avoidance
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Dynamics of Implicit Time-Invariant Max-Min-Plus-Scaling Discrete-Event Systems
0 citations
Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
1 citation
Efficient Computation of a Continuous Topological Model of the Configuration Space of Tethered Mobile Robots
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Model Predictive Control for Cooperative Docking Between Autonomous Surface Vehicles with Disturbance Rejection
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Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning
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Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
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Second-Order MPC-Based Distributed Q-Learning
0 citations
Uniform Feasibility For Smoothed Backup Control Barrier Functions
0 citations
Predictive control barrier functions for piecewise affine systems with non-smooth constraints
0 citations
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
1 citation
Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights
0 citations
Robust Adaptive Discrete-Time Control Barrier Certificate
0 citations
WaveletInception Networks for on-board Vibration-Based Infrastructure Health Monitoring
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Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
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Learning State-Action Control Barrier Functions for Model-Free Control under Constraints
0 citations
A state reduction approach for learning-based model predictive control for train rescheduling
1 citation
Distributed model predictive control without terminal cost under inexact distributed optimization
1 citation
Probabilistically safe and efficient model-based reinforcement learning
1 citation
Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles with Discrete Gear Selection
2 citations
A general partitioning strategy for non-centralized control
2 citations
Learning-based model predictive control for passenger-oriented train rescheduling with flexible train composition
1 citation
Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections
0 citations
Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond
2 citations
Nonmyopic Global Optimisation via Approximate Dynamic Programming
0 citations
A Bidirectional Long Short Term Memory Approach for Infrastructure Health Monitoring Using On-board Vibration Response
4 citations
Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees
1 citation
Iterative Cut-Based PWA Approximation of Multi-Dimensional Nonlinear Systems
0 citations
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
29 citations
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
2 citations
A Dataset for Detection and Segmentation of Underwater Marine Debris in Shallow Waters.
42 citations
Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
1 citation
Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems
5 citations
Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM
7 citations
Scenario Reduction with Guarantees for Stochastic Optimal Control of Linear Systems
1 citation
A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area
3 citations
Entanglement Definitions for Tethered Robots: Exploration and Analysis
6 citations
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning
5 citations
State-action control barrier functions: Imposing safety on learning-based control with low online computational costs
4 citations
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
13 citations
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