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In this paper we consider the problem of determining optimal decentralized decision rules in discrete stochastic decision problems. Here we consider a static single-stage problem. It has been shown in...
Suboptimality Bounds in Stochastic Control: A Queueing Example     Queueing Example  Stochastic Control       font style='font-size:12px;'> 2015/6/19
In this paper we consider Markov decision processes with average cost criteria, and discuss an approach for characterizing the performance loss associated with using a suboptimal control policy. Becau...
we consider the problem of computing decentralized control policies for stochastic systems with finite state and action spaces. Synthesis of optimal decentralized policies for such problems is known t...
Stochastic Multiscale Approaches to Consensus Problems     Consensus Problems  Multiscale       font style='font-size:12px;'> 2015/6/19
While peer-to-peer consensus algorithms have enviable robustness and locality for distributed estimation and computation problems, they have poor scaling behavior with network diameter. We show how de...
Analysis of Recursive Stochastic Algorithms     Recursive Stochastic  Algorithms       font style='font-size:12px;'> 2014/8/13
arrsive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations may depend on previous “outputs” of the algorithm. The consi...
Analysis of Recursive Stochastic Algorithms     Analysis of Recursive  Stochastic Algorithms       font style='font-size:12px;'> 2014/7/2
Rearrsive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations may depend on previous “outputs” of the algorithm. The con...
The stochastic optimal control is an important research subject in structural engineering. Recently, a stochastic optimal nonlinear control method has been proposed based on the stochastic dynamical ...
One of the difficults for fault detection techniques for non-linear stochastic systems via model-based methods is the design of residual generation. In this paper, a new fault detection (FD) approche ...
For the completely observed colltinuous-time stochastic system (A, B, C)an adaptive control based on the ELS estimation algorithm is designed so that the quadratic loss function is minimized and the u...
STOCHASTIC ADAPTIVE CONTROL FOR SYSTEMS WITH NOISE BEING AN ARMA PROCESS           font style='font-size:12px;'> 2007/8/7
Stochastic adaptive control is considered for the discrete-time multi-input and multi-output system of multi-delay with noise expressed by an ARMA process. The CARIMA model is a special case of the sy...
ROBUST STOCHASTIC ADAPTIVE CONTROL FOR NON-MINIMUM PHASE SYSTEMS           font style='font-size:12px;'> 2007/8/7
The adaptive control problem for stochastic systems with unmodelled dynamics is considered. The modelled part of the system is described by an ARMAX model which may not be of minimum phase, while the ...

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