Abstract In this paper we proposed a multi-agent model for modeling an industrial system (steam generator). Design and development of a multi-agent system (MAS) are complex problems because they require the consideration of several parts of the system which can often be tackled from different angles. The designer must identify the set of problems to solve, find multiagent models for their... In this paper we proposed a multi-agent model for modeling an industrial system (steam generator). Design and development of a multi-agent system (MAS) are complex problems because they require the consideration of several parts of the system which can often be tackled from different angles. The designer must identify the set of problems to solve, find multiagent models for their resolution, implement and integrate them into a coherent system. Thus, the purpose of our system is to realize a virtual copy of the industrial installation of this process; this copy is intended to enable the practical training of future operators to control industrial installation. It offers an opportunity to recreate real situations, analyze control loops performances and discover the constitutions and equipment installation. Read More Read Less

Abstract This paper proposes a new type of a sliding mode control algorithm based on Takagi-Sugeno fuzzy model for a class of nonlinear systems. Firstly, we choose the sliding surface which gives a good behaviour during sliding mode. It is formulated as an assignment of the poles of nonlinear system in a convex optimization area. Secondly, we design a nonlinear control... This paper proposes a new type of a sliding mode control algorithm based on Takagi-Sugeno fuzzy model for a class of nonlinear systems. Firstly, we choose the sliding surface which gives a good behaviour during sliding mode. It is formulated as an assignment of the poles of nonlinear system in a convex optimization area. Secondly, we design a nonlinear control law leading the state trajectory on the sliding surface in a finite time. Finally, a flexible joint manipulator is given to validate the theoretical results of our approach. Read More Read Less

Abstract Field Programmable Gate-Arrays (FPGAs) are increasingly becoming widespread in the area of communications and signal processing. This paper investigates the implementation of an adaptive decorrelator based on two crosscoupled least-mean squares (LMS) algorithms. The device was designed using the rapid prototyping software developed by National Instruments using a CompactRio. It enables two sound sources which are mixed in a real... Field Programmable Gate-Arrays (FPGAs) are increasingly becoming widespread in the area of communications and signal processing. This paper investigates the implementation of an adaptive decorrelator based on two crosscoupled least-mean squares (LMS) algorithms. The device was designed using the rapid prototyping software developed by National Instruments using a CompactRio. It enables two sound sources which are mixed in a real room environment to be separated by decorrelating the cross-coupling transfer functions that link them together. The work has application in such areas as requires blind-source separation of random signals.Typically this includes hearing aids, smart microphones and speech recognition systems. Read More Read Less

Abstract Flexible manufacturing systems as complex and stochastic environments require the development of innovative, intelligent control architectures for supporting more flexibility, agility and re-configurability. Distributed manufacturing control system addresses this challenge by introducing an adaptive production control approach and is supported by the presence of autonomous control units which are cooperating with each other. The majority of the current distributed control... Flexible manufacturing systems as complex and stochastic environments require the development of innovative, intelligent control architectures for supporting more flexibility, agility and re-configurability. Distributed manufacturing control system addresses this challenge by introducing an adaptive production control approach and is supported by the presence of autonomous control units which are cooperating with each other. The majority of the current distributed control systems, till now suffer from lack of flexibility and agility when the product verity is high or the product volume is low, and also there is not reconfigure in case of ad-hoc events. To overcome these limitations, a kind of drawback of an excessive dependence on up-to-date information about the products and other elements which move within the system is essential. To this end, RFID as a new emerging technology was introduced which uses radio-frequency waves to transfer data between a reader and movable item for identification, tracking and categorization purpose. This study discusses the architecture devised to deploy RFID-enabled distributed control and monitoring system by means of a set of agents that are responsible for the realization of different control and monitoring tasks and cooperating with each other to enhance agility, flexibility and re-configurability of manufacturing system. The RFID-enabled distributed control and monitoring system has been explored using a flexible manufacturing system (EMU- CIM lab) to demonstrate the feasibility of the proposed architecture successfully. Read More Read Less