Janetta Culita

ASTANK2: Analytical Modeling and Simulation

The paper focuses on building the mathematical model of a filling/drainage process (namely ASTANK2), by analytical approach. Models are subsequently tested by simulation. The process is versatile: it consists of two tanks with different geometric shape, which could be considered in independent or coupled setup and are supplied by an adjustable water distribution pipelines network. The proposed model is nonlinear and can be defined in various configurations, by connecting the desired component models, from the available ones. A simulator that integrates these components is implemented in MATLAB-SIMULINK environment. Its goal is twofold: to simulate the plant dynamics according to several scenarios, on one hand, and to validate the proposed analytical model, on the other hand. Some simulation results are presented in the end.

Environment Communication and Control Systems Integrated on Teaching Platforms: Case Study: Double Water Tank System

This paper introduces a solution for integrating environment systems on teaching platforms using two components: communication and primary control. The communication relies on a bus and specific protocol. The primary control algorithms were implemented in MATLAB-SIMULINK environment, while using Siemens S7-1200 PLC as acquisition server and some regular PC as a client, communicating to each other through the Mudbugs-TCP protocol. The teaching platform is represented by the double water tank system ASTANK2, after being equipped with sensors and actuators.

Identification of MIMO-ARMAX models for glycemia and sodium ions tests, through Particle Swarm Optimization

In this article, the problem of multivariable data autoregressive identification is approached, in view of prediction. Such data are especially provided by natural phenomena with geographical distribution, but could also be acquired from concentrated systems with several outputs, like medical records of one or more patients. Presumably, data are generated by the same source and exhibit more or less correlations to each other. Instead of processing each data set as an independent time series, the whole data block can be seen as the reaction of some open MIMO system to unknown stimuli. Therefore, modeling and forecasting of system behavior can rely on multi-dimensional ARMAX models. Optimal structural indices of MIMO-ARMAX model are found by means of an evolutionary strategy: Particle Swarm Optimization.

USING MOBILE AGENT-BASED TECHNIQUES IN KNOWLEDGE MANAGEMENT FOR ORGANISATIONAL NETWORK INTEROPERABILITY

Abstract The paper will present an approach for the design of an interoperable knowledge management architecture that brings together concepts from agent-based control engineering and discrete event & hybrid modeling. The main goal of this architecture is to ensure knowledge interoperability for networks of organizations, transcending the ontological view.

A new approach for hybrid technology based worklow management systems design

Abstract The paper is aiming to introduce a new discrete event system (DES) based design methodology for Work Flow Management Systems (WFMS). A hybrid methodology based on three formal technologies (Petri Nets, automata and queuing systems) is proposed for modeling, analysis and design of WFMS. A particular case is concerned with avoiding the blocking situation, caused by the inadequate data flow control. In this respect, a predictive control design method is proposed, addressing the controller level, which is embedded in the decision support system.

Monitoring the Desynchronizing Dysfunctions in Flexible Manufacturing Systems

Abstract This paper aims to present a monitoring methodology for desynchronizing dysfunctions in the flexible manufacturing systems. The desynchronizing dysfunctions are described as predictable situations, possibly leading to blocking and being caused by a special type of disturbances - temporal modeling uncertainties. The representation formalism is timed discrete event systems, and the chosen modeling and analysis tools are T-temporal Petri Nets and timed automata

The Plan Existence Problem for a Discrete Event System

Abstract This paper proposes the usage of some relational theory concepts to solve the action planning problem in the production systems based on actions in the state space. A problem regarding the action planning was formulated here : to verify the existence of an action plan between the initial state x 0 and the final state x f of a given system [ S , T , x 0 , x f ] before its effective construction. The problem solution may be obtained determining the system equivalence classes and verifying whether the states x 0 and x f belong to these classes.