Pages that link to "Item:Q2219806"
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The following pages link to An efficient numerical algorithm for solving data driven feedback control problems (Q2219806):
Displaying 14 items.
- A versatile software tool making best use of sparse data for closed loop process control (Q543895) (← links)
- A collection of numerically reliable algorithms for the deadbeat control problem (Q790768) (← links)
- A stochastic collocation method based on sparse grids for a stochastic Stokes-Darcy model (Q2129156) (← links)
- Mini-workshop: Analysis of data-driven optimal control. Abstracts from the mini-workshop held May 9--15, 2021 (hybrid meeting) (Q2693004) (← links)
- Constructing Robust Feedback Laws by Set Oriented Numerical Methods (Q3176774) (← links)
- Strong rates of convergence for a space-time discretization of the backward stochastic heat equation, and of a linear-quadratic control problem for the stochastic heat equation (Q4999547) (← links)
- Discrete‐time approximation for stochastic optimal control problems under the <i>G</i>‐expectation framework (Q6053701) (← links)
- A stochastic maximum principle approach for reinforcement learning with parameterized environment (Q6105091) (← links)
- A Sample-Wise Data Driven Control Solver for the Stochastic Optimal Control Problem with Unknown Model Parameters (Q6111300) (← links)
- Discrete-Time Approximation of Stochastic Optimal Control with Partial Observation (Q6148450) (← links)
- A branching particle system approximation for solving partially observed stochastic optimal control problems via stochastic maximum principle (Q6548536) (← links)
- Real-time computing for a parameterized feedback control problem of Boussinesq equations by POD and deep learning (Q6586295) (← links)
- Error analysis of the feedback controls arising in the stochastic linear quadratic control problems (Q6594935) (← links)
- A fast iterative PDE-based algorithm for feedback controls of nonsmooth mean-field control problems (Q6598495) (← links)
