异步随机学习控制方法研究

Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation Pub Date : 1993-10-19 DOI:10.1109/TENCON.1993.320499

S. Zeng-qi, Deng Zhidong

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引用次数: 1

摘要

针对一般异步学习控制方法无法应对测量噪声系统的局限性，提出了一种采用随机逼近算法的异步随机学习控制系统。给出了相应的收敛性证明。为了提高随机逼近的收敛速度，进一步提出了带加速因子的ASLC。给出了一个仿真实例

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On asynchronous stochastic learning control method

In view of the limitation that a general asynchronous learning control method is unable to cope with systems with measurement noise, an asynchronous stochastic learning control system (ASLC) using stochastic approximation algorithm, is proposed. The corresponding convergence proof is given. To improve the convergence rate of stochastic approximation, ASLC with acceleration factor is further presented. A simulation example is given.<>

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Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation

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