On Performance Gauge of Average Multi-Cue Multi-Choice Decision Making:A Converse Lyapunov Approach

作     者：Mehdi Firouznia Qing Hui Mehdi Firouznia;Qing Hui

作者机构：the Department of Electrical and Biomedical EngineeringUniversity of VermontBurlingtonVT 05405 USA the Department of Electrical and Computer EngineeringUniversity of Nebraska-LincolnLincolnNE 68588 USA 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2021年第8卷第1期

页      面：136-147页

核心收录：

学科分类：0711[理学-系统科学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0701[理学-数学] 

主　　题：Cognitive modeling decision making Lyapunov function multi-cue multi-choice tasks performance gauge 

摘      要：Motivated by the converse Lyapunov technique for investigating converse results of semistable switched systems in control theory,this paper utilizes a constructive induction method to identify a cost function for performance gauge of an average,multi-cue multi-choice(MCMC),cognitive decision making model over a switching time *** shows that such a constructive cost function can be evaluated through an abstract energy called Lyapunov function at initial ***,the performance gauge problem for the average MCMC model becomes the issue of finding such a Lyapunov function,leading to a possible way for designing corresponding computational algorithms via iterative methods such as adaptive dynamic *** order to reach this goal,a series of technical results are presented for the construction of such a Lyapunov function and its mathematical properties are discussed in ***,a major result of guaranteeing the existence of such a Lyapunov function is rigorously proved.