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1.
Single Sample Path-Based Optimization of Markov Chains   总被引:11,自引:0,他引:11  
Motivated by the needs of on-line optimization of real-world engineering systems, we studied single sample path-based algorithms for Markov decision problems (MDP). The sample path used in the algorithms can be obtained by observing the operation of a real system. We give a simple example to explain the advantages of the sample path-based approach over the traditional computation-based approach: matrix inversion is not required; some transition probabilities do not have to be known; it may save storage space; and it gives the flexibility of iterating the actions for a subset of the state space in each iteration. The effect of the estimation errors and the convergence property of the sample path-based approach are studied. Finally, we propose a fast algorithm, which updates the policy whenever the system reaches a particular set of states and prove that the algorithm converges to the true optimal policy with probability one under some conditions. The sample path-based approach may have important applications to the design and management of engineering systems, such as high speed communication networks.This work was supported in part by  相似文献
2.
离散事件动态系统的关键路径与扰动分析   总被引:9,自引:0,他引:9  
具有存储器的串行生产线是一典型离故事件动态系统.本文在其极大代数上线性状态方程的基础上,定义了关键路径,并研究了关键路径的特性.通过关键路径,给出了其扰动分析方法.  相似文献
3.
Convergence Analysis of Perturbed Feasible Descent Methods   总被引:5,自引:0,他引:5  
We develop a general approach to convergence analysis of feasible descent methods in the presence of perturbations. The important novel feature of our analysis is that perturbations need not tend to zero in the limit. In that case, standard convergence analysis techniques are not applicable. Therefore, a new approach is needed. We show that, in the presence of perturbations, a certain -approximate solution can be obtained, where depends linearly on the level of perturbations. Applications to the gradient projection, proximal minimization, extragradient and incremental gradient algorithms are described.  相似文献
4.
Error Stability Properties of Generalized Gradient-Type Algorithms   总被引:3,自引:0,他引:3  
We present a unified framework for convergence analysis of generalized subgradient-type algorithms in the presence of perturbations. A principal novel feature of our analysis is that perturbations need not tend to zero in the limit. It is established that the iterates of the algorithms are attracted, in a certain sense, to an -stationary set of the problem, where depends on the magnitude of perturbations. Characterization of the attraction sets is given in the general (nonsmooth and nonconvex) case. The results are further strengthened for convex, weakly sharp, and strongly convex problems. Our analysis extends and unifies previously known results on convergence and stability properties of gradient and subgradient methods, including their incremental, parallel, and heavy ball modifications.  相似文献
5.
关于Jacobi矩阵逆特征值问题的扰动分析   总被引:1,自引:0,他引:1  
1预备 若不特别说明,本文沿用[6]中记号. Hochstadt于1967年提出如下问题[1]: 问题Ⅰ 给定两组实数{λ}nj=1=1和{μ}n=1i=1,满足构造一个n阶实对称三对角矩阵Jn,使得λ1,…λn为人的特征值,而Jn-1阶顺序主子阵的特征值为μ1,…,μn-1. 问题Ⅱ 给定一组实数{λj}nj=1,满足构造一个n阶全对称三对角矩阵Jn(s),使得Jn(s)的特征值为λ1,λ2,…λn. de Boor和Golub[4]提出如下问题: 问题Ⅲ 给定两组实数满足构造n阶实对称三对角矩阵J…  相似文献
6.
Online IPA Gradient Estimators in Stochastic Continuous Fluid Models   总被引:1,自引:0,他引:1  
This paper applies infinitesimal perturbation analysis (IPA) to loss-related and workload-related metrics in a class of stochastic flow models (SFM). It derives closed-form formulas for the gradient estimators of these metrics with respect to various parameters of interest, such as buffer size, service rate, and inflow rate. The IPA estimators derived are simple and fast to compute, and are further shown to be unbiased and nonparametric, in the sense that they can be computed directly from the observed data without any knowledge of the underlying probability law. These properties hold out the promise of utilizing IPA gradient estimates as ingredients of online management and control of telecommunications networks. While this paper considers single-node SFMs, the analysis method developed is amenable to extensions to networks of SFM nodes with more general topologies.  相似文献
7.
模糊线性系统的扰动分析   总被引:1,自引:1,他引:0  
使用谱范数分析了模糊线性系统在三种情形下的扰动: (1)右端模糊向量有扰动, 系数矩阵不变; (2)系数矩阵有扰动,右端模糊向量不变; (3)系数矩阵和右端模糊向量都有扰动,并通过数值实例验证给出的扰动界的估计.  相似文献
8.
The recent perturbation analysis approach to discrete event systems is applied to flexible manufacturing systems (FMS). While analytic (queueing) models are useful in preliminary design of such systems, they are not accurate enough at the detailed design/operation stage. Thus, experimentation on detailed simulations or on the actual system has been the way to optimize system performance. Perturbation analysis allows us to derive the sensitivity of system performance, with respect to several design/operating parameters, by observing a single experiment (and without having to actually alter the parameters — often a costly operation). Thus, observation of one experiment can give accurate directions for the improvement of several parameter values. Here we give a simulation example illustrating how perturbation analysis could be used on-line on an FMS to improve its performance, including reducing its operating cost. Experimental results are also presented validating the estimates obtained from this technique.Work supported by U.S. Office of Naval Research Contracts N00014-75-C-0648 and N00014-79-C-0776, and NSF Grant ENG78-15231, at Harvard University.A preliminary version of this paper appeared in the Proc. 1st ORSA/TIMS Conf. on Flexible Manufacturing Systems, August 1984. This version includes two appendices, which relate to implementation of the technique described in the main body of the paper.  相似文献
9.
This paper introduces an analysis and optimization technique for discrete event dynamic systems, such as flexible manufacturing systems (FMSs), and other discrete part production processes. It can also be used for enhancement of the simulation results of, or the monitoring of the operations of such systems in real time. Extensive references are given where readers may pursue futher details.  相似文献
10.
This paper proposes a single sample path-based sensitivity estimation method for discrete event systems. The method employs two major techniques: uniformization and importance sampling. By uniformization, steady-state performance measures can be estimated via the transition matrix of the embedded Markov chain in the uniformized process. The sensitivity of a transition matrix is obtained by applying importance sampling to an ensemble average of sample paths. The algorithm developed for this method is easy to be implemented; the method applies to more systems than infinitesimal perturbation analysis.  相似文献
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