Recursive Quadratic Programming with Positive Definite Hessian Matrix
碩士 === 逢甲大學 === 機械工程學系 === 88 === Since the feature of least number of function and gradient evaluations, VF02AD is the best parameter optimization method in solving optimal control problems or trajectory optimization problems. By using the positive definite Hessian matrix instead of the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2000
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| Online Access: | http://ndltd.ncl.edu.tw/handle/38428797611905601994 |