In this paper, a sampled-data iterative learning control method is proposed for nonlinear systems without restriction on system relative degree. The learning algorithm does not require numerical di!erentiations of any order from the tracking error. A su$cient condition is derived to guarantee the co
β¦ LIBER β¦
Iterative learning control for nonlinear systems with uncertain state delay and arbitrary initial error
β Scribed by Hongbin Wang; Yan Wang
- Publisher
- South China University of Technology and Academy of Mathematics and Systems Science, CAS
- Year
- 2011
- Tongue
- English
- Weight
- 201 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1672-6340
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