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Explicit solution and eigenvalue bounds in the Lyapunov matrix equation
44
Citations
10
References
1986
Year
Nonlinear ControlCoefficient MatricesSingularly Perturbed ProblemMatrix AnalysisMathematical Control TheoryControllability MatrixMatrix MethodEigenvalue BoundsGeometric Singular Perturbation TheoryLyapunov AnalysisLinear ControlControllabilityPositive Semidefinite SolutionStability
An explicit solution to the algebraic Lyapunov matrix equation is obtained in terms of the controllability matrix of the pair of coefficient matrices. This enables us to determine the number of positive eigenvalues of the positive semidefinite solution through the controllability matrix. Based on this explicit formula, upper and lower bounds for each eigenvalue of the solution are derived, which always give nontrivial estimates.
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