Collection and Transmission of Sensor Data in Single Location Surveillance Point System
T. Raty, M. Nieminen, J. Oikarinen, M. Lindholm
Surveillance middleware, surveillance architectures and techniques.
The Single Location Surveillance Point (SLSP) is a distributed multi-sensor surveillance software system. Each sensor automatically procures data from its ambit and conveys its crude sensor data to a session server. The session server transmits the crude sensor data to the logical decision making service (LDMS). The LDMS automatically deducts the situation of the surveillance point predicated on the received sensor data. This branch of the SLSP endeavors to facilitate the collection of data from a surveillance point and to decrement the amount of superfluous information and rendered to the surveillance personnel, by acquiring automatically sensor data and providing automatically derived information to the surveillance personnel’send device. The functionality of the constructed prototype indicates that this endeavor is attained. The research is predicated on the constructive method of the related publications and technologies and the results are derived by the implemented branch of the SLSP system.
Configuring Robustness Properties in Control Systems
Complex plane; time domain; pre-filter; robustness; sensitivity functions; Frequency domain.
In this paper, an approach for achieving robustness, by proper configuration of a pre-filter in the control system, is proposed. A typical SISO, linear, continuous-time, regular, industrial class control systems is taken into consideration. The presence of delay, different order of astatism, as well as minimum phase properties of a larger class of models do not reduce the generality of the considerations and the conclusions made throughout the work. An assessment of the obtained performance in the time and frequency domains is presented also.
A New Approach for Adaptive Tuning of PI Controllers.
Application in Cascade Systems
Adaptive tuning controllers; online tuning; cascade system.
In this paper, a new method for online adaptive tuning of PI controllers is proposed. Additional plant information is not necessary for this method. All necessary information for calculation of the controller parameters is received directly through data derived from the pulse response of the plant. In order to demonstrate the performance of the adaptive tuning approach, which has been designed for linear systems, an example with control of a three tank system is used. Simulation results using MATLAB/Simulink and real experiments using WinCon to create and execute real time code from a Simulink model are given in this paper.
Multiple-Model Control Strategy of a one Chamber Ball Mill
Multiple-model adaptive control; cement grinding; Robust stabilization; time-variant nonlinear plants.
This paper presents a method for multiple-model (MM) control of a cement-milling circuit. The approach presented is based on the experimentally justified model developed by Breusegen. The results from the MM control (using multiple proportional-integral (PI) controller) are compared to results from robust stabilization of a nonlinear cement mill model (by two single PI controllers).
A Comparison between Sharable Content Object Reference Model and Individually Adaptive Learning Management System Model
K. Ivanov, S. Zabunov
SCOR; Individually Adaptive Learning Management System Model.
Sharable Content Object Reference Model (SCORM) is compared to the Individually Adaptive Learning Management System Model (IALMSM) developed by the authors. The comparison investigates the particular realization of the main points of a generalized learning management system model and also the specific approaches the two models expose. SCORM is flexible, diverse, highly generalized, complex and rich in definitions and parameters. It allows the presentation and implementation of a broad variety of educational content structures and strategies. IALMSM offers still highly generalized model for sequencing but has compact approach to the sequencing realization, although based on the same block structure paradigm. IALMSM offers the session attempt approach in contrast to learning activity attempt approach implemented in SCORM. The use of a system specific formal language aims at investigating the concept of a direct and specific formalization of the learning content and adaptive behavior strategies seeking a higher level of language simplicity and specificity.