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Control Systems, IEEE

Issue 6 • Date Dec. 2001

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Displaying Results 1 - 11 of 11
  • Everything is under control

    Publication Year: 2001 , Page(s): 8 - 9
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  • Nonlinear model-based process control [Book Review]

    Publication Year: 2001 , Page(s): 75
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    Freely Available from IEEE
  • Self-learning control of finite markov chains [Book Review]

    Publication Year: 2001 , Page(s): 75 - 76
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    Freely Available from IEEE
  • Automation, control and complexity: an integrated approach [Book Review]

    Publication Year: 2001 , Page(s): 76 - 78
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    Freely Available from IEEE
  • Author Index

    Publication Year: 2001 , Page(s): 86 - 87
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    Freely Available from IEEE
  • Subject index

    Publication Year: 2001 , Page(s): 87 - 93
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  • The influence model

    Publication Year: 2001 , Page(s): 52 - 64
    Cited by:  Papers (28)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1025 KB) |  | HTML iconHTML  

    This article describes what we have termed the influence model, constructed to represent in a tractable way the dynamics of networked and interacting Markov chains. The constraints imposed on the influence model may restrict its modeling ability but permit explicit and detailed analysis and computation and still leave room for rather richly structured and novel behavior. We focus on the dynamic evolution of the system. The influence matrix H, in both the homogeneous and general cases, bears further study as an interesting generalization of familiar stochastic matrices. The influence model may also find use as a representation for stochastic signals of various kinds. The influence model is evidently related to other models of networked stochastic automata in the literature, but the details of the relationships remain to be worked out more explicitly in many cases. The generalizations embodied in the influence model could prove to be important degrees of freedom in particular applications View full abstract»

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  • Identifying, understanding, and analyzing critical infrastructure interdependencies

    Publication Year: 2001 , Page(s): 11 - 25
    Cited by:  Papers (243)  |  Patents (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1170 KB) |  | HTML iconHTML  

    The notion that our nation's critical infrastructures are highly interconnected and mutually dependent in complex ways, both physically and through a host of information and communications technologies (so-called "cyberbased systems"), is more than an abstract, theoretical concept. As shown by the 1998 failure of the Galaxy 4 telecommunications satellite, the prolonged power crisis in California, and many other recent infrastructure disruptions, what happens to one infrastructure can directly and indirectly affect other infrastructures, impact large geographic regions and send ripples throughout the national a global economy. This article presents a conceptual framework for addressing infrastructure interdependencies that could serve as the basis for further understanding and scholarship in this important area. We use this framework to explore the challenges and complexities of interdependency. We set the stage for this discussion by explicitly defining the terms infrastructure, infrastructure dependencies, and infrastructure interdependencies and introducing the fundamental concept of infrastructures as complex adaptive systems. We then focus on the interrelated factors and system conditions that collectively define the six dimensions. Finally, we discuss some of the research challenges involved in developing, applying, and validating modeling and simulation methodologies and tools for infrastructure interdependency analysis View full abstract»

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  • Power outages during market deregulation

    Publication Year: 2001 , Page(s): 33 - 39
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (412 KB) |  | HTML iconHTML  

    This article explores the possible relationship between electric power outages and market deregulation in the United Kingdom and the United States. Two significant factors that could increase the risk of outages are the potential for increased in-grid congestion due to long-distance wheeling of power and the possibility of adverse changes in the resources devoted to maintenance, upgrade, and new construction of transmission and distribution facilities View full abstract»

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  • A phase transition model for cascading network failure

    Publication Year: 2001 , Page(s): 40 - 51
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (8698 KB) |  | HTML iconHTML  

    We consider a special structure of dynamic system model that admits a very tractable inclusion of element failure phenomena, for which a global system Lyapunov function can be constructed. This class includes Hamiltonian systems as a special case, with a wide class of R-L-C circuits and mechanical spring-mass-damper systems in which branch failures are induced by exceeding thresholds of inductor current or spring force magnitude. Using a detailed R-L-C circuit as our illustrative example, this article describes how geometric features of the global Lyapunov function constructed, along with partial trajectory information from time domain simulations, can be used to more efficiently predict which branches are subject to failure in a specific disturbance scenario. The underlying concepts are closely related to techniques of merging families of Lyapunov functions in hybrid system analysis. It is hoped that these techniques will add to the set of tools available for predicting and preventing cascading failure in large scale networks View full abstract»

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  • Causes and cures of highway congestion

    Publication Year: 2001 , Page(s): 26 - 32
    Cited by:  Papers (23)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2466 KB) |  | HTML iconHTML  

    People believe congestion occurs because demand exceeds capacity, so they support initiatives to build additional highway capacity or curtail highway travel demand. Politicians work to bring highway construction projects into their districts; environmentalists support proposals to make transit more attractive or automobile use more costly. This article argues that the facts do not support the belief that congestion occurs because demand exceeds capacity View full abstract»

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IEEE Control Systems Magazine is the largest circulation technical periodical worldwide devoted to all aspects of control systems.

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Editor-in-Chief
Jonathan P. How
jhow@mit.edu