RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks-Reference-Cited by-同舟云学术

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RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks

Published:2021-12-14 Issue: Volume: Page:
ISSN:
Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Brunke Lukas,Zhou Siqi,Schoellig Angela P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9682670/9682776/09682940.pdf?arnumber=9682940

Reference26 articles.

1. Convergence of constrained model-based predictive control for batch processes

2. Model predictive control technique combined with iterative learning for batch processes

3. TOWARDS JOINT STATE ESTIMATION AND CONTROL IN MINIMAX MPC

4. YALMIP : a toolbox for modeling and optimization in MATLAB

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Output Feedback Stochastic Model Predictive Control for Linear Systems with Convex Optimization Approach;Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2024-03-23

2. Adaptive Output Feedback Model Predictive Control;IEEE Control Systems Letters;2023

3. Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

4. Fly Out the Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight;IEEE Robotics and Automation Letters;2022-04

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