Distributed asynchronous algorithms with stochastic delays for constrained optimization problems with conditions of time drift

B. F. Beidas, G. Papavassilopoulos
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引用次数: 2

Abstract

A distributed asynchronous algorithm for minimizing a function with a nonstationary minimum over a constraint set is considered. The communication delays among the processors are assumed to be stochastic with Markovian character. Conditions which guarantee the mean square and almost sure convergence to the sought solution are presented.<>
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时间漂移条件下约束优化问题的随机延迟分布式异步算法
研究了约束集上具有非平稳最小值函数的分布式异步最小化算法。假设处理器间的通信延迟是随机的,具有马尔可夫特征。给出了保证均方和几乎肯定收敛于所求解的条件。
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Robustness under combined norm-bounded and positive-real structured uncertainty Distributed asynchronous algorithms with stochastic delays for constrained optimization problems with conditions of time drift An information state approach to nonlinear J-inner/outer factorization The minimal time detection algorithm of changes in control parameters and its application to flight systems Parameter adaptive control-the end...or the beginning?
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