Stochastic Iterative Learning Model Predictive Control based on Stochastic Approximation

Author:

Park ByungJun,Oh Se-Kyu,Lee Jong Min

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference18 articles.

1. Bettering operation of robots by learning;Arimoto;Journal of Field Robotics,1984

2. Bay, J. (1999). Fundamentals of linear state space systems. Butcher, M, Karimi, A, and Longchamp, R. (2008). Iterative learning control based on stochastic approximation. IFAC Proceedings Volumes, 41(2), 1478–1483.

3. Stochastic approximation and its applications, volume 64;Chen,2006

4. Almost sure convergence of iterative learning control for stochastic systems;Chen;Science in China Series F,2003

5. A two-stage iterative learning control technique combined with real-time feedback for independent disturbance rejection;Chin;Automatica,2004

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1. A Novel Successive Updating Scheme of Iterative Learning Control for Networked Control System with Output Data Dropouts;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

2. Optimized Model Predictive Control for Unmanned Aerial Vehicles with Sensor Uncertainties;2022 International Conference on Control, Automation and Diagnosis (ICCAD);2022-07-13

3. Study of Iterative Learning Control Algorithm in Tourism Management IoT Platform Application;Advances in Intelligent Systems and Computing;2021

4. Non‐linear model predictive control for visual servoing systems incorporating iterative linear quadratic Gaussian;IET Control Theory & Applications;2020-08-18

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