Optimal control of ODE systems involving a rate independent variational inequality
By M. Brokate, P. Krejčí. 2012
108 citations recorded by the source corpus.
This paper is concerned with an optimal control problem for a system of ordinary differential equations with rate independent hysteresis modelled as a rate independent evolution variational inequality with a closed convex constraint $Z\subset \mathbb{R}^m$. We prove existence of optimal solutions as well as necessary optimality conditions of first order. In particular, under certain regularity assumptions we completely characterize the jump behaviour of the adjoint.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/86e3f31099be8a9bc4c95a7f3bd375a56308bf70
How researchers see this paper
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In Civil and Structural Engineering
In Computational Theory and Mathematics
- Boris S. Mordukhovich
- Tan H. Cao
- Jirí Vladimír Outrata
- René Henrion
- Lukáš Adam
- Nguyen D. Hoang
- Giovanni Colombo
- Alexander Y. Kruger
Citations in the corpus
- On optimal control of a sweeping process coupled with an ordinary differential equation (2014, methodology): “Although the main result of article [5] was the development of necessary optimality conditions, several of the proven auxiliary results can be also used to derive their discretized–version counterparts.”
- Optimal control of the sweeping process over polyhedral controlled sets (2015, background): “In the other line of development we mention the recent paper [8] and its subsequent extension [2], which address a different class of optimal control problems for an equivalent variational inequality description of the sweeping process of the rate-independent hysteresis type, where the convex moving”
- Optimality conditions for a controlled sweeping process with applications to the crowd motion model (2015, background): “Namely, [11] deals with controls only in perturbations addressing existence and relaxation issues for optimal solutions, while [1, 4] apply controls in associated differential equations with deriving necessary optimality conditions for discrete-time [1] and continuous-time [4] systems.”