Modeling Support System for Systems Analytic Research

A computer-assisted mathematical modeling system based on an advanced interactive methodology is presented. The system aims at the extraction of a trade-off between human mental models and regression-type models based on the use of numerical data, by using a flexible combination of statistical methods and graph-theoretical analysis. One of the main advantages of using this system is the facilities for the structuring of both mental and mathematical models

Advances in Methodology and Applications of Decision Support Systems

These Proceedings are composed of a selection of papers of the Workshop on Advances in Methodology and Applications of Decision Support Systems, organized by the System and Decision Sciences (SDS) Program of IIASA and the Japan Institute of Systems Research (JISR). The workshop was held at IIASA on August 20-22, 1990. The Methodology of Decision Analysis (MDA) Project of the SDS Program focuses on a system-analytical approach to decision support and is devoted to developing methodology, software and applications of decision support systems concentrated primarily around interactive systems for data analysis, interpretation and multiobjective decisionmaking, including uncertainty analysis and group decision making situations in both their cooperative and noncooperative aspects. The objectives of the research on decision support systems (DSS) performed in cooperation with the MDA Project are to: compare various approaches to decision support systems; advance theory and methodology of decision support; convert existing theories and methodologies into usable (simple to use, user-friendly and robust) tools that could easily be used in solving real-life problems. A principal characteristic of decision support systems is that they must be tuned to specific decision situations, to complex real-life characteristics of every application. Even if the theory and methodology of decision support is quite advanced, every application might provide impulses for further theoretical and methodological advances. Therefore the principle underlying this project is that theoretical and methodological research should be strongly connected to the implementation and applications of its results to sufficiently complicated, real-life examples. This approach results in obtaining really applicable working tools for decision support. The papers for this Proceedings have been selected according to the above summarized framework of the research activities. Therefore, the papers deal both with theoretical and methodological problems and with real-life applications

Research Abstract of the Project for Environmental Pollution Control in Japan

"Environmental Pollution Control," a research project, was conducted by the Education Ministry for a period of three years from April, 1972. The project involves some 200 researchers from the universities in Japan and is composed of a number of research groups as classified by objects and by methods. The figure illustrates the division of the problem in a matrix form; the objects of research of the environmental systems are classified laterally as air, water, solid waste, noise and vibration, and transportation. The system engineering methodology is classified longitudinally as data processing modeling, planning and designing, control and the total system technics. In the cross section of these items will be generated new themes of different nature from the conventional treatment. For example, the cross section of air and data processing will present a research theme of digital simulation of the air pollution, and air modeling will present research on the diffusion model of the pollution in air. Another example is the combination of stochastic control with traffic, which will become the problem of control of traffic congestion

Toward Advanced Computer-Assisted Modeling

A mathematically elaborated modeling method alone cannot develop useful models of large-scale systems that involve human activities. What is needed as input to the model-building process, besides measurement data, is the knowledge of experts in relevant fields. The problem is, then, what types of knowledge should or can be included in the modeling process and, more important, how do we manage them. The interactive method of data handling (IMDH) presented in this paper develops linear models of complex systems through recursive interaction with the computer, systematically introducing the expert's knowledge about the structure of the underlying system. It should be emphasized that the more one repeats dialogues with the computer, the more effectively knowledge can be used to develop and refine the model

An Interactive Modeling Support System (IMSS)

A computer-assisted mathematical modeling method that emphasizes the interaction between analysts and computers is presented. It combines algebraic and graph-theoretic approaches to extract a trade-off between human mental models and models based on the use of data collected from the system under study. The method is oriented to the modeling of the so-called "gray box" systems which often involve human behavioral aspects and also knowledge of the experts in relevant fields. By recursive dialogues with the computer, the modeler finds a system model which can be nonlinear with respect to descriptive variables. The structure of the computer program packages is also presented

"Shinayakana" Systems Approach in Developing an Urban Environment Simulator

The subject of Decision and System Sciences is the analysis of complexity of real system which has reached such a level, that new frameworks for solving modeling, optimization and information processing problem must be developed. One such framework developed by Japanese scientists is the so-called "Shinayakana Systems Approach." This approach assumes that mathematical models and formal tools provide only the problem solving support. Therefore, the essential parts of the problem solving are the issues of man-machine interaction. This paper presents the basic ideas of the Shinayakana System Approach as well as a practical implementation of this concept in the design of a system for environmental monitoring and decision making

The Kinki Integrated Regional Development Program

This book, which is divided into 7 sections, covers not only the contributions made at a Workshop held in 1978 but also the results of additional work done at IIASA, in Japan, and elsewhere. The first section reviews the Kinki IRDP problematique: the region's situation and relations to other regions, its administrative division, its economic and demographic structure, its main congestions and other problems. This is followed by a section presenting some findings of IIASA's study of the Kinki region. Some general aspects of regional planning and programming are discussed in the third section which concludes with the presentation of the framework developed for organizing regional programs and evaluating policy formulation. The fourth part deals with models for integrated regional development programs. It summarizes the experiences of IBM Japan in developing and using computer systems for regional planning, presents a method for recognizing basic regional issues and their structure, and describes a model for ultra-long-term integrated development in the Kinki region. The fifth part is devoted to models for particular problem areas, and the sixth section presents methods for solving regional problems: multi-objective mathematical programming applied to social planning, the nested Lagrangian multiplier method applied to environmental system planning, and an approach toward group decision. The seventh section sets forth some concluding remarks

Two Micro-Computer Based Games

In management (and control) the most important factor is a thorough knowledge of the behavior (properties, dynamics) of the managed object. In technical systems these properties can be (to a sufficient extent) formally described. In the socioeconomic system this can not be done so easily. This is where games of various kinds can convey the "feeling" of the systems behavior in a very instructive way. The two games presented in this working paper are of that kind. They show, at the same time, how one can turn the constantly extending properties of microcomputers into a greater sophistication of the game. Both games carry important messages for those who are in the process of managing common resources. This property should make this working paper useful to a wide community

Towards multiobjective optimization and control of smart grids

The rapid uptake of renewable energy sources in the electricity grid leads to a demand in load shaping and flexibility. Energy storage devices such as batteries are a key element to provide solutions to these tasks. However, typically a trade-off between the performance related goal of load shaping and the objective of having flexibility in store for auxiliary services, which is for example linked to robustness and resilience of the grid, can be observed. We propose to make use of the concept of Pareto optimality in order to resolve this issue in a multiobjective framework. In particular, we analyse the Pareto frontier and quantify the trade-off between the non-aligned objectives to properly balance them.Comment: 20 pages, 8 figures, journal pape

Multirate control with incomplete information over Profibus-DP network

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Systems Science on 2014, available online:http://www.tandfonline.com/10.1080/00207721.2013.844286When a process ¿eld bus-decentralized peripherals (Pro¿bus-DP) network is used in an industrial environment, a deterministic behaviour is usually claimed. However, due to some concerns such as bandwidth limitations, lack of synchronisation among different clocks and existence of time-varying delays, a more complex problem must be faced. This problem implies the transmission of irregular and, even, random sequences of incomplete information. The main consequence of this issue is the appearance of different sampling periods at different network devices. In this paper, this aspect is checked by means of a detailed Pro¿bus-DP timescale study. In addition, in order to deal with the different periods, a delay-dependent dual-rate proportional-integral-derivative control is introduced. 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