6 papers
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…
Asymptotic Boundedness of Distributed Set-Membership Filtering
Yudong Li, Yirui Cong, Shimin Wang +2
Asymptotic boundedness is a crucial property of Distributed Set-Membership Filtering (DSMFing) that prevents the unbounded growth of the set estimates caused by the wrapping effect…
The Invariant Zonotopic Set-Membership Filter for State Estimation on Groups
Tao Li, Yi Li, Lulin Zhang +1
The invariant filtering theory based on the group theory has been successful in statistical filtering methods. However, there exists a class of state estimation problems with unkno…
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…
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…
Optimal Set-Membership Smoothing
Yudong Li, Yirui Cong, Xiangyun Zhou +1
This article studies the Set-Membership Smoothing (SMSing) problem for non-stochastic Hidden Markov Models. By adopting the mathematical concept of uncertain variables, an optimal…