In this paper, the general problem of identifying the parameters describing Sugeno controllers from example data is addressed. It is shown that this approximation is ill-posed, which necessitates the use of regularization methods. Based upon this discovery, an efficient numerical algorithm for solving the general regularized approximation problem is proposed, followed by numerical examples with real-world data.
|Number of pages||6|
|Publication status||Published - 2001|
|Event||Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada|
Duration: 25 Jul 2001 → 28 Jul 2001
|Conference||Joint 9th IFSA World Congress and 20th NAFIPS International Conference|
|Period||25.07.2001 → 28.07.2001|