A Kind of Robust Controller of Parametric-strict-feedback Form for Nonlinear Systems

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The Dark Side of the Moon—Unilluminated Dimensions of Systems Practice

This paper explores some of the unilluminated or less explicit aspects of issues faced by those using systems approaches in real-world problem situations. The paper contends that discourse on systems approaches tends to be dominated by rational logical aspects of methodology, though other aspects of the intervention process, such as political dimensions of legitimacy, have become more important in the last 10–15 years. Unsurprisingly the discourse has been different for different methods. Method has been largely invisible in the hard systems area (or at least relatively little discussed), and although it has been the subject of much debate in the soft systems area, the debate has been nonetheless narrowly defined. It is narrowly defined in its relative neglect of process aspects for conducting a systems study. Since the nature of these processes (for example, the client/consultant relation) changes from hard systems to soft systems to critical systems in a way that makes social process progressively a more important dimension of each approach, this aspect has featured more in discourse on critical systems, but in general it remains a curious area of neglect. There is increasing interest in this area, and some signs that relevant theory and practice from closely related domains is being accessed to strengthen these approaches. This paper attempts to make a contribution by outlining and discussing some areas that could usefully complement existing systems approaches. The paper considers the following areas: (a) client relations, (b) analyst role, (c) language and communication, (d) group processes, (e) culture (and rationalities), (f) information gathering techniques and processes, and (g) change management or implementation. The paper draws on experiences of systems practices in the literature, interviews with systems practitioners, and writings in related areas. The paper ends by discussing some of the implications of these issues for the development of well-rounded systems approaches.     

The Interactive Method: A New Approach to Solving a Kind of Mixed Integer Programming

Porduction planning often comes up in the form of programming problems with continuous variables, where investment project planing usually reduces to zero-one programming. Combination of the choices of investment projects with the existent production capacity, therefore, yields mixed integer programming. With this background, this paper provides a new approach to solving mixed integer programming problems by combining the man-machine interactive method for multiobjective programming with graphics generating techniques.     

Knowledge-Based Multifaceted Modeling Methodology for Open Complex Giant Systems

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The Synthetic Prediction Pattern of Multiple Model Systems

In this paper,the problem of the synthetic prediction pattern of multiple modelsystems has been considered,Three synthetic prediction patterns have been presented and someof their properties have been analysed.     

Value Systems—A Way to Greater Understanding

This paper originates from a study of performance indicators and the difficulty encountered when introducing and maintaining them in organizations. One of the key findings has been that conflicting values and value systems of the people involved are a serious obstacle to successful measurement. This paper gives a synopsis of theories on human values followed by a revision of the ideas using a selection of concepts from the systems discipline. By utilizing the concepts of system, boundary, perspective, closed systems, and emergence, it is demonstrated how recognizing the process of values formation can have an impact on performance measurement.     

A Robust Output—Feedback Controller for a Class of Uncertain Nonlinear Systems

1　IntroductionRecently,the nonlinear output- feedback control problems are solved successfully by usingbackstepping for a class of nonlinear systems. The partialstate feedback control problemsolved in Jiang and Praly,1996 is more general than the output- feedback control problem.However,the assumptions made in the paper are too restrictive which does not only re-quire the existence of c,γ andψ1 to be ascertained a priori,but also require them to beknown for an unknown system. If c,γ can n…     

The Similar Structures and Control Problems of Complex Systems

1 Introduction1 We consider the naturally evolving complex systems, such as biotic and social systems. In their evolving process, they always make up their weaknesses and develop their favorable factors. In such a way, their structures are gradually formed. In the structures of these systems, a feature is noteworthy, i.e., the local(partial) structure is similar to the global(overall). For social systems, for instance, in a country, the management organization of a province is similar to tha…     

A Conceptual Framework Based on Maturana’s Ontology of the Observer to Explore the Checkland’s Soft Systems Methodology

This paper explores Checkland’s Soft Systems Methodology (SSM) through the lenses of a theoretical framework that incorporates key concepts from Maturana’s Ontology of the Observer (OoO) with the view of complementing Checkland’s SSM application process. We outline and examine paradigmatic compatibility between: Checkland’s ontological position (reality is problematic/chaotic) together with his interpretivist epistemology (multiple perceptions enrich the ever-changing reality); and Maturana’s OoO (we are immersed in the praxis of living in an ontological multi-universe). We argue that OoO resonates with key SSM theoretical underpinnings. After establishing compatibility between these two influential systems thinkers, we advance a conceptual framework in which Checkland’s SSM learning process is re-visited through a the framework grounded on Maturana’s OoO. The proposed framework illustrates how key ideas drawn from Maturana’s OoO can shed light into the way in which some of the main SSM devices (i.e.: Root definitions, Conceptual model) are used in the SSM process. By doing that, SSM is enriched and becomes more flexible as the stakeholders involved are placed within the domain of constitutive ontologies from which, a deeper dialogue can be promoted in a domain of coexistence in mutual acceptance. We argue that this is a suitable way to have more flexible and holistic views for a SSM intervention in particular to promote the learning process and debating proposed changes amongst the stakeholders involved. The proposed framework, when applied, may enhance the power of SSM learning process and when adopted can have substantial implications to complement the SSM process.

     

Kind of deadlock-free scheduling method

Deadlock must be avoided in a manufacturing system. In this paper, an efficient algorithm for finding an optimal deadlock-free schedules in a manufacturing system with very limited buffer is presented. This algorithm is based on the effective genetic algorithm (GA) search method, and a formal Petri net structure is introduced to detect the token player assuring deadlock-free. In order to make the scheduling strategy generated by GA meet the required constraint of deadlock-free, some results of the structure analysis of Petri net are involved as a criterion to select deadlock-free schedule from the population generated by GA. The effectiveness and efficiency of the proposed approach is illustrated by using an example.     

Disaster Management Systems——A Placeholder for Decision Support Sub-Systems

Aspects of techniques for understanding and developing a system which is useful in the context of Disaster Management are outlined in the paper. The emphasis is on techniques for the development of requirements and software-specifically here for the basic, underlying computing system whose application packages (amongst others: Decision Support Sub-Systems) shall support Disaster Prediction, Relief (Damage Assessment & Mitigation) and Recovery. Throughout the body of the paper we shall be making frequent references to Decision Support Sub-Systems. As acronym for the subject domain the author has chosen: DiMaCS: Disaster Manegement Computing Systems.     

The Relationship of ‘Systems Thinking’ to Action Research

This article investigates the relationship of systems thinking to action research by reviewing the main developments in systems thinking and relating these to action research. There are two main lines of thought in systems thinking that lead to wholly different conceptions about action research. The first (systems thinking) advocates thinking about real social systems that it assumes exist in the world. The second (systemic thinking) supposes only that the social construction of the world is systemic. Greater emphasis is placed on systemic thinking consistent with its greater importance to contemporary action research. The article concludes that systemic thinking when taken to its practical conclusion from a critical perspective offers to action research a somewhat unique liberating praxis. Concern that any liberating praxis could remain hollow is addressed through a certain kind of ‘spiritual’ awareness that is suggested by wholeness.     

A New Discipline of Science-The Study of Open Complex Giant System and Its Methodology

This paper introduces the conception of open complex giant system and the methodology for dealing with the system, with stress on its profound significance in development of science and technology. The authors conclude that the reductionism underlying the exact science is not suitable to open complex giant system, and the only feasible alternative is the meta-synthetic engineering from the qualitative to the quantitative.     

A GMRP Approach for Reliability Analysis of Repairable Systems

We propose here a mathematical approach for the study of repairable systems with arbitrary distributions. The idea is to define a new type of stochastic process, called a generalized Markov renewal process (GMRP). which may describe the transition behavior of the stochastic process at non-regenerative points. In the paper an analytical method for the GMRP is put forward and the formulas are then presented for reliability analysis of repairable systems which can be described by a GMRP with finite states. A signal flow graph technique for system modeling is also summarized here. Finally- an analytical model to evaluate the reliability of a m-out-of- n.G system with general repair-time distribution is developed by means of the GMRP approach.     

A Study on Integrated Model of Decision Support Systems

1　IntroductionToday,systems integration has been becoming a challenge issue lying the front of DSStheories and applications. Numbers of new models,technologies and methods have beenintroduced to develop DSS with the developmentand inter- permeation of sy…     

An Holistic Approach to the Management of Information Systems Development—A View Using a Soft Systems Approach and Multiple Viewpoints

This paper argues that only a systems-based approach to information systems development is likely to cover all the recognized problem issues reported in the literature. It is then shown that software development can be characterized by the structure of the Soft Systems Methodology, so that this methodology acts as a metaphor for the process of information systems development. The structure of this methodology can be seen at lower levels of the development process, and so the model generated here is seen as recursive. Further, information systems development is seen as an unstructured business problem that can be characterized by the Multiple Viewpoint approach. The connections between this approach and the methodology are identified. Finally, the unifying link between these approaches and all forms of action research is identified.     

The Fundamental Definitions in Radar Measurement Principle and Theory of Space and Time

Fundamental definitions of distance and velocity in radar measurement principle are examined and revised from strict theoretical point of view. Synchronization scheme - for clocks in uniform, translatory relative motion is introduced as theoretical foundation for GPS and GLONASS type navigation and positioning technology. Traditional definitions of two-way radar measurement, based on arithmetic mean vlaue concept, turn out to be special cases of revised definitions for one-way radar measurement, based on geometric mean concept, derived from synchronization of moving clocks in accordance with the principle of relativity. The essential physical meaning of Lorentz transformation is interpreted in terms of radar measured parameters. Invariance or absoluteness of four dimensional interval turns out to be invariance or absoluteness of geometric mean time interval. The Lorentz factor turns out to be ratio of geometric mean and arithmetic mean time intervals in terms of radar measured parameters. Theoretical re     

The Dynamic Simulation Model of Industrial Enterprise Systems and Its Application

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Integrative Stability Analysis for A Class of Intelligent Control Systems

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