Bias-Policy Iteration Based Adaptive Dynamic Programming for Linear Fully Actuated Systems-Reference-Cited by-同舟云学术

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Bias-Policy Iteration Based Adaptive Dynamic Programming for Linear Fully Actuated Systems

Published:2024-05-10 Issue: Volume: Page:1140-1145
ISSN:
Container-title:2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA)
language:
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Author:

Jiang Huaiyuan¹,Yang Xuefei¹,Xu Chuanchuan²,Zhang Kangkang³

Affiliation:

1. Harbin Institute of Technology,Center for Control Theory and Guidance Technology,Harbin,China,150001

2. Nanjing Research Institute of Electronic Engineering,Nanjing,China,210000

3. University of Hong Kong,Department of Mechanical Engineering,Hong Kong,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10595059/10595098/10595149.pdf?arnumber=10595149

Reference22 articles.

1. Beyond Regression: New Tools for Prediction and Analysis in the Behavioural Sciences;Werbos,1974

2. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics

3. On an iterative technique for Riccati equation computations

4. Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

5. Optimal Control

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