Latest Research in Stochastic Predictive Control

Top Research Topics in Stochastic Predictive Control

• Optimization and Control — 33 papers
• Robotics — 14 papers
• Systems and Control — 5 papers
• Computer Vision and Pattern Recognition — 5 papers
• Machine Learning — 4 papers
• Artificial Intelligence — 3 papers
• Optimization and Variational Analysis — 3 papers
• Risk and Portfolio Optimization — 2 papers
• Metaheuristic Optimization Algorithms Research — 2 papers
• Multiagent Systems — 2 papers

Highest-Cited Papers

1. Confidence-weighted hybrid predictive and feedback control with quasi-Bayesian fusion for safety-aware and robust trajectory tracking of autonomous vehicles
2. Stochastic Zulfia Invexity in Mathematical Programming
3. First-Order Methods for Wasserstein Distributionally Robust Constrained Optimization
4. Integrality gap preserving reductions
5. Distributed Model Predictive Control with Connectivity-based Contracts
6. Sufficient Decision Proxies for Decision-Focused Learning
7. Feeling Terrain Before Crossing: World Models for Off-Road Navigation
8. CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning
9. The Influence of α and β Parameters on Ant Colony Optimization for the Traveling Salesman Problem
10. The Influence of α and β Parameters on Ant Colony Optimization for the Traveling Salesman Problem
11. The Statistical Steering Theorem
12. Sample average approximation of multiobjective stochastic optimization problems with application in insurance
13. Social Laws for Multi-agent Coordination in Stochastic Environments
14. TRACER: Adaptive Multi-Robot Social Navigation via Joint Human-Response Prediction and Interaction-Aware Replanning
15. Statistical Inference for Scenario-Based Dynamic Optimization under Uncertainty
16. Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control
17. Learning Safe Humanoid Navigation from Reduced Order Models
18. SemSafe-3DGS: Semantic Risk-Aware Active Navigation in Uncertain 3D Gaussian Splatting Maps
19. Gaussian Processes for Modelling Spatial Fields with Robot Swarms
20. Learning generalized Nash equilibria from pairwise preferences

Sub-Regions

• Electric Vehicles and Infrastructure — 43 papers
• Systems and Control — 31 papers
• Optimization and Control — 20 papers
• Robotics — 13 papers
• Risk and Portfolio Optimization — 7 papers
• Merger and Competition Analysis — 5 papers