Nonlinear MPC based on the state-space form of RBF-ARX model - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Hui Peng 0001, Hideo Shioya, Xiaoyan Peng, Keisuke Sato. Nonlinear MPC based on the state-space form of RBF-ARX model. In Proceedings of the 2004 IEEE International Conference on Control Applications, CCA 2004, Taipei, Taiwan, September 2-4, 2004. pages 1679-1684, IEEE, 2004. [doi]

The following publications are possibly variants of this publication:

Robust MPC Based on Multivariable RBF-ARX Model for Nonlinear SystemsHui Peng, Weihua Gui 0001, Kazushi Nakano, Hideo Shioya. cdc 2005: 3777-3782 [doi]

RBF-ARX model-based robust MPC for nonlinear systems with unknown and bounded disturbanceFeng Zhou, Hui Peng, Xiaoyong Zeng, Xiaoying Tian, Xiaoyan Peng. jfi, 354(18):8072-8093, 2017. [doi]

Nonlinear system modeling and robust predictive control based on RBF-ARX modelHui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo Shioya, Kazushi Nakano. eaai, 20(1):1-9, 2007. [doi]

A synthesis approach of fast robust MPC with RBF-ARX model to nonlinear system with uncertain steady status informationXiaoying Tian, Hui Peng 0001, Feng Zhou 0005, Xiaoyan Peng. apin, 51(1):19-36, 2021. [doi]

Stability analysis of the RBF-ARX model based nonlinear predictive controlH. Peng, T. Ozaki, K. Nakano, Valerie Haggan-Ozaki, Y. Toyoda. eucc 2003: 3129-3134 [doi]

runs on WebDSL