88 citations · 174 across the 10 of their papers we have counts for
4 papers · 1 filter
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
Minghao Han, Yuan Tian, Lixian Zhang +2
Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data e…
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang, Hao Dong, Wei Pan
Decentralized multi-agent control has broad applications, ranging from multi-robot cooperation to distributed sensor networks. In decentralized multi-agent control, systems are com…
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles
Qingrui Zhang, Wei Pan, Vasso Reppa
This paper presents a novel model-reference reinforcement learning algorithm for the intelligent tracking control of uncertain autonomous surface vehicles with collision avoidance.…
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark
Hongpeng Zhou, Chahine Ibrahim, Wei Pan
Nonlinear system identification is important with a wide range of applications. The typical approaches for nonlinear system identification include Volterra series models, nonlinear…