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Recursive Identification of Hammerstein Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Le, Fengmin Markovsky, Ivan Freeman, Christopher Li Rogers, Eric |
| Copyright Year | 2011 |
| Abstract | A novel recursive algorithm for identification of Hammerstein structures is developed. The linear and nonlinear parameters are separated and estimated recursively in a parallel manner, but each updating algorithm employs the estimation produced by the other at the previous time instant. Hence, it is termed the Alternately Recursive Least Square (ARLS) algorithm. When compared with Recursive Least Squares (RLS) algorithm applyed to the over-parametric representations of the Hammerstein structure, ARLS demonstrated superior performance over extensive numerical simulations. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://folk.ntnu.no/skoge/prost/proceedings/ifac11-proceedings/data/html/papers/0313.pdf |
| Alternate Webpage(s) | http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac11-proceedings/data/html/papers/0313.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Nonlinear system Numerical analysis Recursion (computer science) Recursive least squares filter Restless Legs Syndrome Simulation |
| Content Type | Text |
| Resource Type | Article |