Latest Research in Optimization and Control

Top Research Topics in Optimization and Control

• Optimization and Control — 4 papers
• Robotics — 3 papers
• Systems and Control — 2 papers
• Artificial Intelligence — 2 papers
• Multiagent Systems — 1 papers
• Adaptive Dynamic Programming Control — 1 papers
• UAV Applications and Optimization — 1 papers
• Computer Science and Game Theory — 1 papers
• Spacecraft Dynamics and Control — 1 papers
• Robotic Path Planning Algorithms — 1 papers

Highest-Cited Papers

1. Multi-Agent Learning with Cooperation-Driven Optimization Dynamics
2. Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation
3. Development of an Educational Platform for Reinforcement Learning Control of a Rotary Inverted Pendulum Based on LW-RCP
4. JEPLO: Joint-Embedding Predictive Learning for LiDAR-Based Legged Locomotion
5. Convex Pursuit-Evasion Games for Spacecraft Proximity Operations on Circular and Elliptical Orbits
6. Prospect Theoretic Approach to Pursuit-evasion Differential Games with Risk Aversion and Probability Sensitivity
7. A hierarchical navigation decision-making method for UAV swarms in unknown communication-constrained environments
8. Self-Evolving Scientific Agent Designs Physically Reasoned White-Box Fluid Control
9. From Learning to Control: Data-Driven Multi-Agent Reinforcement Learning for Multivariable Control in a Microalgae Bioprocess
10. Deception in Reach-Avoid Game with Unknown Heterogeneous Attackers Speed Information
11. DRL-Based LEO Constellation Design for Regional Navigation Enhancement
12. When Adaptive Sampling Fails: A Controlled Evaluation of Graph-Based Path Planning for a Cuspidal 3R Manipulator
13. New strategies for some pursuit-evasion differential games with Gronwall-type constraints
14. Analysis of First-Order Linear Pursuit and Evasion Differential Games with Gronwall-Type Constraints
15. Solution and Optimal Strategies for a Differential Game of Pursuit-Evasion with Point-Wise Constraints
16. Receding Fixed-Horizon Optimization for Near-Time-Optimal Trajectory Planning and Control
17. Reinforcement Learning-Guided Evolutionary Policy Optimization for Preference-Adjustable Heterogeneous Agile Earth Observation Satellite Scheduling