An online fault tolerant actor-critic neuro-control for a class of nonlinear systems using neural network HJB approach

In this paper, we propose an actor-critic neuro-control for a class of continuous-time nonlinear systems under nonlinear abrupt faults, which is combined with an adaptive fault diagnosis observer (AFDO). Together with its estimation laws, an AFDO scheme, which estimates the faults in real time, is designed based on Lyapunov analysis. Then, based on the designed AFDO, a fault tolerant actor- critic control scheme is proposed where the critic neural network (NN) is used to approximate the value function and the actor NN updates the fault tolerant policy based on the approximated value function in the critic NN. The weight update laws for critic NN and actor NN are designed using the gradient descent method. By Lyapunov analysis, we prove the uniform ultimately boundedness (UUB) of all the states, their estimation errors, and NN weights of the fault tolerant system under the unpredictable faults. Finally, we verify the effectiveness of the proposed method through numerical simulations.     

Move blocking strategy applied to re-entrant manufacturing line scheduling

Model predictive control (MPC)-based approach to fab-wide scheduling has been suggested to solve constraint-aware production optimization and in-process inventory level control simultaneously at each scheduling instance. However, application of this approach to real fab suffers from computational difficulties brought by the need to solve a huge optimization problem on-line as real fab scheduling problems are characterized by long cycle times, multiple product types, hundreds of machines/processing steps and re-entrant product flows. This study explores the use of an offset-blocking strategy combined with a modified recursive least square (RLS) estimation in the fab-wide scheduler, in order to alleviate the difficulty. The strategy is tested on a modified version of published case study called Intel Mini-Fab (IMF) problem. Despite its simplicity, the blocking strategy showed excellent performance in the face of realistic demand changes and plant/model mismatch.     

An approach to multi-agent interactive control in an intelligent space

International Journal of Control, Automation and Systems - A new type of multi-agent interactive control is proposed in an intelligent space system, which is based on heterogeneous multiple vision...     

听知觉在景观设计中的应用分析

通过对人、景观、声音这三个景观中的声音环境构成要素的阐述,分析了听知觉在景观设计中的应用方向,并提出营造乐音和创造记忆空间在景观设计中听知觉的具体应用,以期更好地为景观设计师提供设计参考。     

高校保卫部门工作网站建设

随着校园网在高校的迅速普及,高校保卫部门网站建设为高校保卫部门工作的开展增添了新方法和新途径,是法制宣传教育新阵地新手段。充分利用校园网络资源,介绍了保卫部门网站建设的原则及内容,并提出了网站维护和推广的新思路,可高效地完成对保卫处各项事务的处理,为师生员工创建一个平安校园保驾护航。     

PIC单片机控制下的无线模块自主选频数据传输

提出一种采用PIC16系列单片机和CC2500无线射频芯片的自主选频无线数据传输系统的设计方法,包括系统硬件电路设计和软件实现。系统具有自主选频功能,解决CC2500在ISM频段内由于同频干扰而产生的频率冲突问题。     

基于XML元素加密的Web服务安全策略

Web服务使开发人员能够建立一种面向服务的、平台无关的、分布式的应用程序架构,另一方面Web服务使用XML在网络中进行数据交换,如何提高Web服务的安全性则成为需要解决的关键问题。本文论述了基于对XML文件中的元素进行加密的策略,从而保证了Web服务安全性。     

Comparative evaluation of performance measures for human driving skills

In this paper, we evaluate the adequacy of several performance measures for the evaluation of driving skills between different drivers. This work was motivated by the need for a training system that captures the driving skills of an expert driver and transfers the skills to novice drivers using a haptic-enabled driving simulator. The performance measures examined include traditional task performance measures, e.g., the mean position error, and a stochastic distance between a pair of hidden Markov models (HMMs), each of which is trained for an individual driver. The emphasis of the latter is on the differences between the stochastic somatosensory processes of human driving skills. For the evaluation, we developed a driving simulator and carried out an experiment that collected the driving data of an expert driver whose data were used as a reference for comparison and of many other subjects. The performance measures were computed from the experimental data, and they were compared to each other. We also collected the subjective judgement scores of the driver’s skills made by a highly-experienced external evaluator, and these subjective scores were compared with the objective performance measures. Analysis results showed that the HMM-based distance metric had a moderately high correlation between the subjective scores and it was also consistent with the other task performance measures, indicating the adequacy of the HMM-based metric as an objective performance measure for driving skill learning. The findings of this work can contribute to developing a driving simulator for training with an objective assessment function of driving skills.     

A review of interoperability assessment models

Interoperability is the ability of systems to provide services to and accept services from other systems, and to use the services exchanged so as to operate together in a more effective manner. The fact that interoperability can be improved means that the metrics for measuring interoperability can be defined. For the purpose of measuring the interoperability between systems, an interoperability assessment model is required. This paper deals with the existing interoperability assessment models. A compara- tive analysis among these models is provided to evaluate the similarities and differences in their philosophy and implementation. The analysis yields a set of recommendations for any party that is open to the idea of creating or improving an interoperability assessment model.     

基于系统动力学的煤矿物联网模型研究设计

采用系统动力学方法研究了煤矿系统中的安全管理与控制问题,找出了煤矿安全管理系统中各要素之间的复杂关系,建立起系统关系网,然后结合物联网技术,构建起一个更加完整的智能矿山管理系统。该研究设计可为煤炭企业管理和科研人员提供一种新的研究思路和设计参考。