A new class of distributed optimization algorithms: application to regression of distributed data
✍ Scribed by Sundhar Ram, S.; Nedić, A.; Veeravalli, V. V.
- Book ID
- 115521920
- Publisher
- Taylor and Francis Group
- Year
- 2012
- Tongue
- English
- Weight
- 222 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1055-6788
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In this paper we consider an optimal control problem described by a system of nonlinear first order hyperbolic partial differential equations with deviating argument, including integral inequality constraints. The control variables are assumed to be measurable, with the corresponding state variables
This paper is concerned with the convergence of a class of continuous-time nonlinear consensus algorithms for single integrator agents. In the consensus algorithms studied here, the control input of each agent is assumed to be a state-dependent combination of the relative positions of its neighbors