Conjugate gradient algorithm for optimal control problems with parameters
Miloš Boček (1980)
Kybernetika
Similarity:
Miloš Boček (1980)
Kybernetika
Similarity:
Xing, An-Qing (1991)
Journal of Applied Mathematics and Stochastic Analysis
Similarity:
Jaroslav Doležal (1981)
Kybernetika
Similarity:
Azhmyakov, Vadim (2007)
Differential Equations & Nonlinear Mechanics
Similarity:
Matthias Knobloch (2004)
Kybernetika
Similarity:
We consider general convex large-scale optimization problems in finite dimensions. Under usual assumptions concerning the structure of the constraint functions, the considered problems are suitable for decomposition approaches. Lagrangian-dual problems are formulated and solved by applying a well-known cutting-plane method of level-type. The proposed method is capable to handle infinite function values. Therefore it is no longer necessary to demand the feasible set with respect to the...
Xue-Fang Wang, Zhenhua Deng, Song Ma, Xian Du (2017)
Kybernetika
Similarity:
In this paper, a distributed optimal consensus problem is investigated to achieve the optimization of the sum of local cost function for a group of agents in the Euler-Lagrangian (EL) system form. We consider that the local cost function of each agent is only known by itself and cannot be shared with others, which brings challenges in this distributed optimization problem. A novel gradient-based distributed continuous-time algorithm with the parameters of EL system is proposed, which...
Jaroslav Doležal, Jiří Fidler (1978)
Kybernetika
Similarity: