Gradient-Based Parameter Identification Algorithms for Observer Canonical State Space Systems Using State Estimates
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s00034-014-9911-5.pdf
Reference45 articles.
1. A. Chen, Z. Zhou, X. Xu, A self-adaptive gradient projection algorithm for the nonadditive traffic equilibrium problem. Comput. Oper. Res. 39(2), 127–138 (2012)
2. Z. Dai, F. Wen, Another improved Wei–Yao–Liu nonlinear conjugate gradient method with sufficient descent property. Appl. Math. Comput. 218(14), 7421–7430 (2012)
3. M. Dehghan, M. Hajarian, An iterative algorithm for the reflexive solutions of the generalized coupled Sylvester matrix equations and its optimal approximation. Appl. Math. Comput. 202(2), 571–588 (2008)
4. M. Dehghan, M. Hajarian, Convergence of the descent Dai–Yuan conjugate gradient method for unconstrained optimization. J. Vib. Control 18(9), 1249–1253 (2012)
5. M. Dehghan, M. Hajarian, Fourth-order variants of Newton’s method without second derivatives for solving non-linear equations. Eng. Comput. 29(4), 356–365 (2012)
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