3 papers
eess.SY2025
Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States
Dongdong Li, Jiuxiang Dong
This note proposes a data-driven output-feedback stabilizing policy iteration for unknown linear discrete-time systems with unmeasurable states. Existing policy iteration methods f…
eess.SY2025
Cooperative Optimal Output Tracking for Discrete-Time Multiagent Systems: Stabilizing Policy Iteration Frameworks
Dongdong Li, Jiuxiang Dong
This paper proposes two cooperative optimal output tracking (COOT) algorithms based on policy iteration (PI) for discrete-time multi-agent systems with unknown model parameters. Fi…
eess.SY2024
Data-Based Efficient Off-Policy Stabilizing Optimal Control Algorithms for Discrete-Time Linear Systems via Damping Coefficients
Dongdong Li, Jiuxiang Dong
Policy iteration is one of the classical frameworks of reinforcement learning, which requires a known initial stabilizing control. However, finding the initial stabilizing control…