Natalia Bakhtadze

Associative Search and Wavelet Analysis Techniques in System Identification

Abstract A system identification method using predictive models based on the imitation of analysts associative thinking is developed. Identification algorithms using associative search for description of the knowledge about control plant are presented. Wavelet analysis is applied for time-varying objects identification.

Development of Intelligent Identification Models and Their Applications to Predict the Submarine Dynamics by Use of Computer Simulation Complexes

Abstract A conception of constructing intelligent virtual analyzers as an implementation of the identification approach within control systems is presented, enabling one to develop and adjust prediction models in the most effective manner. Specifically, the paper presents an approach constructing identification models of a submarine by us the associative search applying the technological archives and knowledge base created by use of simulation complexes.

Scenario analysis of management processes in the prevention and the elimination of consequences of man-made disasters

Abstract The article represents the analysis of using the possibilities of the scenario analysis methods and modelling in the process of solving the planning and management problems of measures to ensure the man-made safety of a wide range of potentially dangerous production and infrastructure facilities. The classification of emergency situations (ES) on potentially dangerous objects is given in terms of the readiness degree of the management system and technical services to eliminate the consequences of emergencies. The main stages and technology of formation of scenarios for the development of man-made disasters and emergencies are considered. The processes of modelling and synthesis of alternative scenarios for the development of ES are proposed to be implemented using the theory of functional sign graphs. An example of practical use of the scenario analysis methodology in the process of solving the problem of management the consequences of emergencies in a land production facility (building) is given.

Wavelet-based identification and control of variable structure systems

Information models found a wide application in advanced control systems, decision making systems, play a fundamental role in any activity concerned with the signal processing process. In the paper, information identification models in variable structure control systems are considered; a methodology of the synthesis of a variable structure control system is presented, as well issues of the stability of a model built by use of the associative search are considered, in the aspect of the spectrum analysis of the multi-scale wavelet expansion.

Intelligent Control of Industrial Processes

Abstract The paper analyzes the problems of intelligent production control subject to world economy trends. It discusses the evolution of the problem of integrated plant floor and plant logistics control and overviews the state-of-the-art control theory methods and the ways to apply them in production control.

Knowledge-based prediction in process control systems under limited measurement data

Abstract The paper offers identification algorithms enabling process parameters estimation under limited output samples and time-varying inputs. The algorithms are based on the associative search of analogs and wavelet-analysis of signals. The effectiveness of the techniques proposed is demonstrated with the example of product quality prediction in oil refining industry.

Motivation and social aspects of competence-based learning process

Abstract Motivation and social aspects as interaction among teachers and students are essential for a competence-based learning process in an Open Distance Learning environment, and the goal in this article is to develop an interactive model to manage motivation between process’ participants. The article contains the concept of developing a motivation model aimed at supporting activity and cooperation of both the students and the teacher. The structure of the motivation model and formal assumptions are presented. The proposed model constitutes the theoretical formalization of the new situation, when a teacher and the students are obligated to elaborate on a didactic material repository content in accordance with the competence requirements. The mathematical method, based on game theory and simulation is suggested. Conditions for using simulation in the model are analysed in two simulated cases.

Intelligent Screening for Diagnostic and Treatment of Cancer Diseases

Abstract Approach to the system’s dynamic modeling and decision-making support development for specialist doctors based on intelligent mathematical models is proposed. Based on intelligence analysis of the content of a global database, the system will dynamically generate the inductive knowledge for different aspects of diagnosis and treatment of cancer. The system in essence will model the decision-making process to guide “a human operator”, which in this case is a doctor who consciously or sub-consciously analyses the situation and makes decisions based on his or her professional knowledge and experience. However, even the most skilled doctor is unable to process the information volume of such proportions and do the multiple factor analysis as deep as his or her assistant - an intelligent computerized system, which is able to instantly focus on the specific developing situation while considering all prior history, and produce a model and a prognosis.