Dual-stage Optimal Iterative Learning Control for Nonlinear Non-affine Discrete-time Systems

By Ronghu Chi, Z. Hou. 2007

112 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/7d7c53eece12e0f9f70a17b32e83b3c588fdb4e2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Z. Hou
2. Huijun Gao
3. Zhuo Wang
4. Ronghu Chi
5. Shuangshuang Xiong
6. Peng Shi
7. James Lam
8. Zidong Wang

Citations in the corpus

• An Overview of Dynamic-Linearization-Based Data-Driven Control and Applications (2017, methodology): “Some other important extensions of MFAC have also been done in the literature, such as model-free adaptive predictive control [43], model-free ILC [41], [42], and MFAC schemes for complex connected systems including series connection, parallel connection [44], feedback connection, and complex interc”
• From model-based control to data-driven control: Survey, classification and perspective (2013, methodology): “In [35,36], the essential idea of MFAC is introduced into the iterative axis in order to deal with a repeatable control task, so a model-free adaptive iterative learning control is obtained.”