Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ali H"'
Publikováno v:
IEEE Transactions on Automatic Control. 66:1497-1512
This article develops a fully decentralized multiagent algorithm for policy evaluation. The proposed scheme can be applied to two distinct scenarios. In the first scenario, a collection of agents have distinct datasets gathered by following different
Autor:
Ali H. Sayed, Sulaiman A. Alghunaim
Publikováno v:
IEEE Transactions on Automatic Control. 65:175-190
This paper develops an effective distributed strategy for the solution of constrained multiagent stochastic optimization problems with coupled parameters across the agents. In this formulation, each agent is influenced by only a subset of the entries
Publikováno v:
IEEE Transactions on Automatic Control. 60:1260-1274
We apply diffusion strategies to develop a fully-distributed cooperative reinforcement learning algorithm in which agents in a network communicate only with their immediate neighbors to improve predictions about their environment. The algorithm can a
Autor:
Federico S. Cattivelli, Ali H. Sayed
Publikováno v:
IEEE Transactions on Automatic Control. 55:2069-2084
We study the problem of distributed Kalman filtering and smoothing, where a set of nodes is required to estimate the state of a linear dynamic system from in a collaborative manner. Our focus is on diffusion strategies, where nodes communicate with t
Autor:
A. Subramanian, Ali H. Sayed
Publikováno v:
IEEE Transactions on Automatic Control. 49:149-154
This note addresses the problem of robust multiobjective filtering for discrete time-delay systems with mixed stochastic and deterministic uncertainties, in addition to unmodeled nonlinearities. A procedure is developed for the design of linear and e
Publikováno v:
IEEE Transactions on Automatic Control. 45:702-706
We develop array algorithms for H/sup /spl infin// filtering. These algorithms can be regarded as the Krein space generalizations of H/sup 2/ array algorithms, which are currently the preferred method fur implementing H/sup 2/ filters. The array algo
Publikováno v:
IEEE Transactions on Automatic Control. 39:1476-1481
We describe a new solution to the four-block problem using the method of generalized Schur analysis. We first reduce the general problem to a simpler one by invoking a coprime factorization with a block-diagonal inner matrix. Then, using convenient s
Publikováno v:
IEEE Transactions on Automatic Control. 39:960-976
Derives a new recursive solution for a general time-variant interpolation problem of the Hermite-Fejer type, based on a fast algorithm for the recursive triangular factorization of time-variant structured matrices. The solution follows from studying
Autor:
Ali H. Sayed, Thomas Kailath
Publikováno v:
IEEE Transactions on Automatic Control. 39:619-623
We extend the discrete-time Chandrasekhar recursions for least-squares estimation in constant parameter state-space models to a class of structured time-variant state-space models, special cases of which often arise in adaptive filtering. It can be s
Publikováno v:
IEEE Transactions on Automatic Control. 38:466-469
The solution of a time-optimal soft-constrained control problem with linear dynamics is considered. The cost function has no penalty on the integral of the state. The solution is formulated in terms of the controllability Grammian and is obtained as