Matrix computational analysis of probabilistic control systems

概率控制系统的矩阵计算分析

• 批准号: 371984-2010
• 负责人: Lu, Fletcher
• 金额: $ 1.09万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=550147
• 关键词: Matrix; computational; analysis; probabilistic; control

Probability matrices are produced from various applications where the environment can be represented by a network of conditional probability states. One such application is derived from machine learning robots that represent the world as a network of states following a Markov process, which retains no past state memory. Solving such classes of problems with a probability matrix component efficiently using scientific compuation theory is the main objective of this research program.

概率矩阵是从各种应用中产生的，其中环境可以由条件概率状态的网络表示。 一个这样的应用程序来自机器学习机器人，它将世界表示为遵循马尔可夫过程的状态网络，该过程不保留过去的状态记忆。 使用科学计算理论有效地解决此类具有概率矩阵分量的问题是该研究计划的主要目标。