41 research outputs found

    Design of Robust Static Output Feedback for Large-Scale Systems

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    On stability of interval matrices

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    New sufficient, and sometimes necessary and sufficient conditions, are obtained for Schur- and Hurwitz-stability of interval matrices by relying on the concept of connective stability and M-matrices. The necessity part is broadened to include interval matrices with mixed signs of the off-diagonal elements, provided the sign patterns follow that of the Morishima matrix. The obtained results are extended to cover convex combinations of interval matrices

    Robust stability of discrete systems

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    The objective of this paper is to show how to choose a Liapunov function to obtain the best and sometimes exact estimates of the degree of exponential stability lor linear time-invariant discrete systems. The choice is interesting because it is also shown that i t provides the largest robustness bounds on non-linear time-varying perturbations which can be established by either norm-like or quadratic Liapunov functions. By applying the results obtained to large-scale systems, where the role of perturbations is played by the interconnections among the subsystems, the least conservative stability conditions are derived for the overall system which are available in the context of vector Liapunov lunctions and M-matrices. © 1988 Taylor & Francis Group, LLC

    Parameter Plane Analysis for Large Flexible Spacecraft

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    Graph-theoretic algorithm for hierarchial decomposition of dynamic systems

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    A graph-theoretic scheme is proposed for partitioning of dynamic systems into hierarchially ordered subsystems having independent inputs and outputs. The resulting subsystems are input-output reachable as well as structurally controllable and observable, so that a piece-by-piece design of estimators and controllers can be accomplished for systems with large dimensions without excessive computer requirements

    Optimal magnetic bearing control for high-speed momentum wheels

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    The asymptotic stability of the linear discrete large-scale systems

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