@inproceedings{aad5eeb9daad44179a281458d97ae961,
title = "H∞ tracking control for unknown nonlinear system based on augmented matrix algorithm",
abstract = "Based on the augmented matrix and approximate dynamic programming algorithms, the H∞ tracking control problem for unknown nonlinear system is addressed in this paper. An identifier NN is first used to approximate the unknown system. An augmented matrix based on the desired trajectory and system state is then constructed using the identifier, such that the tracking control problem is transformed into the regulation one. We use another NN to approximate the performance index function of the HJI equation, such that H∞ tracking control pairs are calculated without solving the HJI equation. Moreover, we use an estimation algorithm to estimate unknown parameters in neural network. Finally, a simulation is presented to demonstrate the validity of the proposed method.",
keywords = "Adaptive dynamic programming, Augmented matrix, Estimation algorithm, H∞ control",
author = "Yongfeng Lv and Xuemei Ren and Linwei Li and Jing Na",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 9th International Conference on Modelling, Identification and Control, ICMIC 2017 ; Conference date: 10-07-2017 Through 12-07-2017",
year = "2018",
doi = "10.1007/978-981-10-7212-3_1",
language = "English",
isbn = "9789811072116",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1--12",
editor = "Jing Na and Xing Wu and Quanmin Zhu",
booktitle = "Innovative Techniques and Applications of Modelling, Identification and Control - Selected and Expanded Reports from ICMIC 2017",
address = "Germany",
}