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Bounds on generalized structured singular values
[1992] Proceedings of the 31st IEEE Conference on Decision and Control, 2005The authors present several bounds on the structured singular value (SSV). They first adopt a generalized notion of which is useful for problems where uncertainties are assumed to be bounded in an l/sub p/-induced matrix norm. Two different types of bounds, in terms of Perron root and interaction parameters, respectively, are given for the new SSV, and
J. Chen, C.N. Nett
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Toward a structure singular value decomposition
26th IEEE Conference on Decision and Control, 1987The concept of structured singular value was introduced by Doyle [1] as a tool for the analysis and synthesis of linear control systems with structured uncertainties. It is a key to the design of control systems under joint robustness and performance specifications and it nicely complements the H? approach to control system design [2,3]. It has already
Michael K. H. Fan, Andre L. Tits
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An alternative characterization of the structured singular value
Proceedings of 1994 33rd IEEE Conference on Decision and Control, 2002The size of the smallest, structured, destabilizing perturbation for a linear, time-invariant, system can be calculated via the structured singular value (/spl mu/). It can be bounded above by the solution of a linear matrix inequality (LMI). This paper gives an alternative characterization which is particularly suited to the case when the system (or ...
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Computation of the real structured singular value
Guidance, Navigation and Control Conference, 1989For a large class of linear time-invariant systems with real parametric perturbations, the coefficient vector of the characteristic polynomial is a multilinear function of the real parameter vector. Based on this multilinear mapping relationship together with the recent developments for wlvtmic wlvnomials and Darameter domain partitioning tkchnique ...
B.-C. CHANG +3 more
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Upper bounds of structured singular values for mixed uncertainties
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004Upper bounds of structured singular values for mixed uncertainties whose computations are efficient and reliable have been available. For uncertainties without real blocks and repeated complex scalar blocks, existing upper bounds are known to be quite tight.
Jietae Lee, Thomas F. Edgar
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Improved upper bounds for the mixed structured singular value
IEEE Transactions on Automatic Control, 1997The authors consider the structured singular value \(\mu_K(M)\) of a complex \(n\times n\) matrix \(M\) with respect to some block structure \(K\) that defines the perturbation matrix \(\Delta\). \[ \mu_K(M)= \min_{\Delta\in\chi} \{\overline\sigma(\Delta),\text{ det}(I-\Delta M)= 0\}, \] \(\chi\) being a class of block diagonal matrices defined by \(K\)
Minyue Fu 0001, Nikita Barabanov
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An upper bound of structured singular value
International Journal of Control, Automation and Systems, 2009An improved upper bound of structured singular value for mixed uncertainties with purely real uncertainty blocks is proposed.
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Continuity properties of the real/complex structured singular value
IEEE Transactions on Automatic Control, 1993Summary: The structured singular-value function \((\mu)\) is defined with respect to a given uncertainty set. This function is continuous if the uncertainties are allowed to be complex. However, if some uncertainties are required to be real, then it can be discontinuous.
Andrew K. Packard, Pradeep Pandey
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Phase-sensitive structured singular value
1999Given Γ ∈ C n ×n with Γ + Γ* ≥ 0, define the phase Φ(Γ) of Γ by $$\Phi \left( \Gamma \right) = {\cot ^{ - 1}}\left( {\sup \left\{ {b:\Gamma + \Gamma * - \frac{\beta }{j}\left( {\Gamma - \Gamma *} \right) \geqslant 0\forall \beta \in \left\{ { - b,\,b} \right\}} \right\}} \right).$$
André L. Tits, V. Balakrishnan
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A new upper bound for the real structured singular value
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002A new, easily computable, upper bound on the real structured singular value /spl mu/ is derived under the assumption of a nonrepeated largest singular value. The condition under which real /spl mu/ is (strictly) less than the largest singular value is used to embed the structured uncertainty set in a larger related set.
S. K. Gungah +3 more
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