Multi-model predictive control of Hammerstein-Wiener systems based on balanced multi-model partition-Reference-Cited by-同舟云学术

Multi-model predictive control of Hammerstein-Wiener systems based on balanced multi-model partition

Published:2019-06-03 Issue:4 Volume:25 Page:333-353
ISSN:1387-3954
Container-title:Mathematical and Computer Modelling of Dynamical Systems
language:en
Short-container-title:Mathematical and Computer Modelling of Dynamical Systems

Author:

Du Jingjing¹,Zhang Lei²,Chen Junfeng¹,Li Jian¹,Zhu Changping¹³

Affiliation:

1. College of Internet of Things Engineering, Hohai University, Changzhou, Jiangsu, China

2. College of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China

3. Key Laboratory of Unmanned Aerial Vehicle Development & Data Application of Anhui Higher Education Institutes, Wanjiang University of Technology, Ma’anshan, China

Funder

the National key R&D Program

NSF of Jiangsu Province

the Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Modeling and Simulation,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13873954.2019.1624580

Reference19 articles.

1. Hammerstein–Wiener nonlinear model based predictive control for relative QoS performance and resource management of software systems

2. Nolinear model predictive control using Hammerstein models

3. Multilinear Model Control of Hammerstein-like Systems Based on an Included Angle Dividing Method and the MLD-MPC Strategy

4. Robust model predictive control of nonlinear processes represented by Wiener or Hammerstein models

5. Nonlinear predictive control for Hammerstein–Wiener systems

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