Performance adaptation of real-time control tasks by dynamic scheduling: A self-triggered control approach

2018 ◽  
Author(s):  
Vahid Panahi ◽  
Mehdi Kargahi
Keyword(s):  
Real Time ◽  
Dynamic Scheduling ◽  
Real Time Control ◽  
Control Approach ◽  
Time Control ◽  
Performance Adaptation

scholarly journals On the Use of a Real-Time Control Approach for Urban Stormwater Management

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2842
Author(s):  
Mario Maiolo ◽  
Stefania Anna Palermo ◽  
Anna Chiara Brusco ◽  
Behrouz Pirouz ◽  
Michele Turco ◽  
...  
Keyword(s):  
Real Time ◽  
Stormwater Management ◽  
Risk Mitigation ◽  
Real Time Control ◽  
Urban Stormwater ◽  
Real Time System ◽  
Control Approach ◽  
Urban Stormwater Management ◽  
Time Control ◽  
Control Configuration

The real-time control (RTC) system is a valid and cost-effective solution for urban stormwater management. This paper aims to evaluate the beneficial effect on urban flooding risk mitigation produced by applying RTC techniques to an urban drainage network by considering different control configuration scenarios. To achieve the aim, a distributed real-time system, validated in previous studies, was considered. This approach uses a smart moveable gates system, controlled by software agents, managed by a swarm intelligence algorithm. By running the different scenarios by a customized version of the Storm Water Management Model (SWMM), the findings obtained show a redistribution of conduits filling degrees, exploiting the whole system storage capacity, with a significant reduction of node flooding and total flood volume.

scholarly journals A General Real-Time Control Approach of Intrusion Response for Industrial Automation Systems

2016 ◽  
Vol 46 (8) ◽  
pp. 1021-1035 ◽  
Author(s):  
Shuang Huang ◽  
Chunjie Zhou ◽  
Naixue Xiong ◽  
Shuang-Hua Yang ◽  
Yuanqing Qin ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Control ◽  
Industrial Automation ◽  
Intrusion Response ◽  
Control Approach ◽  
Time Control ◽  
Automation Systems ◽  
Industrial Automation Systems

scholarly journals Factors Influencing the Simplified Quality Model Performance

10.29007/71p3 ◽  
2018 ◽  
Author(s):  
Jing Feng ◽  
Congcong Sun ◽  
Gabriela Cembrano ◽  
Vicenç Puig
Keyword(s):  
Wastewater Treatment ◽  
Real Time ◽  
Wastewater Treatment Plants ◽  
Research Work ◽  
Real Time Control ◽  
Quality Model ◽  
Control Approach ◽  
Time Control ◽  
Sewer Network ◽  
Study Results

During the last few years, the integrated real-time control (RTC) of both the urban sewer network and the wastewater treatment plants (WWTP), has attracted increasingly attention. In order to apply integrated RTC control approach efficiently considering both the hydraulic and quality variables, models, simplified conceptual quality modelling approaches are required. This paper presents research work based on simplified water quality models in sewers, which have been developed in the European project LIFE EFFIDRAIN (Efficient Integrated Real-time Control in Urban Drainage and Wastewater Treatment Plants for Environmental Protection). The contribution of this paper is to analyze the potential factors that would influence the performance of the proposed modelling approach and consequently the corresponding integrated RTC control. A real sewer pilot the Perinot sewer network has been used as case study. Results and conclusions have been provided which would be useful for the users of these models.

Coordinating Cognitive Assistances With PID-Based Control Approaches

2010 ◽  
Author(s):  
Hua Cai ◽  
Yingzi Lin ◽  
Jeffrey Breugelmans
Keyword(s):  
Real Time ◽  
Cognitive Processing ◽  
Interface Problem ◽  
Cognitive State ◽  
Eye Tracker ◽  
Real Time Control ◽  
Secondary Tasks ◽  
Control Approach ◽  
Time Control ◽  
Cognitive Assistance

In human-machine cooperation, machines may assist operators in a variety of ways. This paper discusses the coordination of various assistances on cognitive basis through a PID-based control approach. Cognitive assistance can be viewed as a two-dimensional problem. The question of when to provide assistance can be viewed as a control problem, and the question of what assistance to provide can be viewed as an interface problem. This research proposes pairing cognitive engagement level and performance relevant situation criticality with a PID control approach to determine the appropriate moment to provide proper assistance. Based on the stage of human cognitive processing, the interfaces of cognitive assistance are grouped into three levels: soft aid, soft intervention, and hard intervention. This paper took driving assistance as an exemplary application to validate the approach of cognitive assistances coordination. In the experiment, an intelligent machine driver monitored drivers’ real-time performance by measuring the time headway to front obstacles and the lateral deviation to lane center. Simultaneously, it monitored drivers’ cognitive state by measuring the eye movement with an eye tracker. With five sessions of driving, coordinated cognitive assistance was compared with no aid, soft aid, soft intervention, and hard intervention, respectively. The experimental results confirmed that coordinated cognitive assistance is the most effective approach to assist both primary and secondary tasks. It also proves to be a more enjoyable and less obtrusive assistance system when compared to other individual types of assistance. In addition, coordinated cognitive assistance can be extended to other real-time control relevant tasks.

scholarly journals A real-time control approach based on intelligent video surveillance for violations by construction workers

2018 ◽  
Vol 24 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Shengyu GUO ◽  
Chaohua XIONG ◽  
Peisong GONG
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Safety Management ◽  
Dynamic Monitoring ◽  
Real Time Control ◽  
Intelligent Video Surveillance ◽  
Control Approach ◽  
Time Control ◽  
Unsafe Behavior ◽  
Unsafe Behaviors

The unsafe behavior of workers is the main object of construction safety management, in which violations require increased attention due to their pernicious consequences. However, existing studies have merely discussed violations separately from unsafe behaviors. To respond quickly to workers’ violations on site, this study proposes a real-time control approach based on intelligent video surveillance. First, scenes reflecting unsafe behaviors are automatically acquired through camera-based behavior analysis technology. Meanwhile, the time corresponding to the construction phase is recorded. Second, the temporal association rule model of worker’s unsafe behavior is constructed, and the rule “construction phase→unsafe behavior” is determined by the Apriori algorithm to identify target behaviors necessary for critical control in different construction phases. Finally, statistical process control is used to find the trends of violations with frequency and mass characteristics through the dynamic monitoring of target behavior. In addition, real-time alerts of these unsafe acts are produced simultaneously. A pilot study is conducted on the cross-river tunnel project in Wuhan city, Hubei, China, and the violations related to construction machineries is proven to be controllable. Thus, the proposed approach promotes behavioral safety management on construction since it effectively controls workers’ violations by real-time monitoring and analysis.

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