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On a Variational Approach to Optimization of Hybrid Mechanical Systems
Author(s) -
Vadim Azhmyakov,
R. Velazquez
Publication year - 2010
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2010/978736
Subject(s) - mathematical optimization , multi objective optimization , nonlinear system , mathematics , optimal control , nonlinear programming , mechanical system , class (philosophy) , optimization problem , boundary value problem , computer science , artificial intelligence , mathematical analysis , physics , quantum mechanics
This paper deals with multiobjective optimization techniques for a class of hybrid optimal control problems in mechanical systems. We deal with general nonlinear hybrid control systems described by boundary-value problems associated with hybrid-type Euler-Lagrange or Hamilton equations. The variational structure of the corresponding solutions makes it possible to reduce the original “mechanical” problem to an auxiliary multiobjective programming reformulation. This approach motivates possible applications of theoretical and computational results from multiobjective optimization related to the original dynamical optimization problem. We consider first order optimality conditions for optimal control problems governed by hybrid mechanical systems and also discuss some conceptual algorithms

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