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¦
On a switching control scheme for nonlinear systems with ill-defined relative degree
β Scribed by Wen-Hua Chen; Donald J Ballance
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 291 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0167-6911
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