A Layered, Multi-Agent System for Intelligent Control

1992 ◽  
Vol 4 (2) ◽  
pp. 152-158
Author(s):  
Takuya Ishioka ◽  
◽  
Morikazu Takegaki
Keyword(s):  
Real Time ◽  
Intelligent Control ◽  
Time Constraints ◽  
Multi Agent System ◽  
Real Time Control ◽  
Agent Model ◽  
Intelligent Control System ◽  
Time Control ◽  
Rule Set ◽  
Multi Agent

We propose a layered, multi-agent model as a method for establishing an intelligent control system. The model handles each task, which constitutes control processing, as a group of agents operating autonomously, and organizes the agents in a layered structure from the viewpoint of real-time constraints. This enables real-time control processing and knowledge information processing simultaneously. We will describe a method for building the layered multiagent model using a concurrent rule set. The concurrent rule set can be processed by extending the expert shell and can realize the layered agent model in various computer environments through the use of the shell.

scholarly journals A Multi-Agent System Architecture for Coordination of the Real-Time Control Functions in Complex Industrial Systems

2011 ◽  
Vol 6 (4) ◽  
pp. 761
Author(s):  
Jiang Wu ◽  
Raynitchka Tzoneva
Keyword(s):  
Real Time ◽  
System Architecture ◽  
Multi Agent System ◽  
Real Time Control ◽  
Agent System ◽  
Industrial Systems ◽  
The Real ◽  
Time Control ◽  
Control Functions ◽  
Multi Agent

Multi-agent system architecture for coordination of the real-time control functions in complex industrial systems is presented. The problem which must be solved out is how efficiently to organize the interactions between tasks in order to satisfy the functionality and the time restriction of the system. In order to solve this problem, the treatment of the task interactions is separated from the tasks and is implemented by the proposed multi-agent system. A general three level multi-agent system is introduced to manage the interactions and schedule of tasks. A framework of building of the schedule of the tasks is also presented. Finally, the benefits of the proposed architecture are discussed.

Fuzzy Logic-Based Intelligent Control System for Active Ankle Foot Orthosis

2015 ◽  
pp. 248-279 ◽  
Author(s):  
M. Kanthi
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Intelligent Control ◽  
Control Unit ◽  
Real Time Control ◽  
Gait Patterns ◽  
Ankle Foot Orthosis ◽  
Intelligent Control System ◽  
Time Control ◽  
Foot Orthosis

The Ankle Foot Orthosis (AFO) is an orthotic device intended to assist or to restore the movements of the ankle foot complex in the case of pathological gait. Active AFO consists of sensor, controller, and actuator. The controller used in the conventional AFO to control the actuator does not use the property of synchronization of the feet. This chapter deals with development of a fuzzy-based intelligent control unit for an AFO using property of symmetry in the foot movements. The control system developed in LabVIEW provides real-time control of the defective foot by continuously monitoring the gait patterns. The input signals for the control system are generated by the sensor system having gyroscope. DC motor is used as an actuator. The data acquisition for Gait Analysis is done using National Instrument's data acquisition system DAQ6221 interfaced with a gyro-sensor.

Real-Time Scheduling and Control of Single-Arm Cluster Tools With Residency Time Constraint and Activity Time Variation by Using Resource-Oriented Petri Nets

2019 ◽  
pp. 850-886
Author(s):  
Yan Qiao ◽  
NaiQi Wu ◽  
MengChu Zhou
Keyword(s):  
Real Time ◽  
Time Variation ◽  
Sojourn Time ◽  
Control Policy ◽  
Time Constraints ◽  
Activity Time ◽  
Real Time Control ◽  
Time Control ◽  
Cluster Tool ◽  
Residency Time

In semiconductor manufacturing, when a wafer is processed, it requires unloading from its process module in a given time interval, otherwise it is scraped. This requirement is called wafer residency time constraints. Thus, it is crucial to schedule a cluster tool such that the wafer sojourn time in a process module is within a given time window to satisfy the wafer residency time constraints. Besides wafer residency time constraints, in a cluster tool, the activity time is subject to variation. The activity time variation can make a feasible schedule obtained under the assumption of deterministic activity times become infeasible. To solve this problem, it is important to reveal the wafer sojourn time fluctuations with bounded activity time variation. Such an issue is addressed in this chapter for single-arm cluster tools. A single-arm cluster tool is modeled by a resource-oriented Petri net to describe the wafer fabrication processes. Based on it, a real-time control policy is proposed such that it offsets the effect of the activity time variation as much as possible. Then, the wafer sojourn time delay in a process module is analyzed and analytical expressions are derived to calculate the upper bound. With the help of the real-time control policy and wafer sojourn time delay analysis results, schedulability conditions and scheduling algorithms for an off-line schedule are presented in this chapter. The schedulability conditions can be analytically checked. If schedulable, an off-line schedule can be analytically found. The off-line schedule together with the real-time control policy forms the real-time schedule for the system. It is optimal in terms of cycle time minimization. Examples are given to show the application of the proposed approach.

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