Optimization problems in the robustness analysis of linear state space systems

1988 ◽  
pp. 54-78 ◽  
Author(s):  
Diederich Hinrichsen ◽  
Matthias Motscha
Keyword(s):  
State Space ◽  
Optimization Problems ◽  
Robustness Analysis ◽  
Space Systems ◽  
State Space Systems ◽  
Linear State

scholarly journals Reduction of second order linear dynamical systems, with large dissipation, by state variable transformations

1990 ◽  
Vol 32 (2) ◽  
pp. 207-222
Author(s):  
R. B. Leipnik
Keyword(s):  
Dynamical Systems ◽  
State Space ◽  
Computing Time ◽  
Square Root ◽  
Space Systems ◽  
Linear Dynamical Systems ◽  
State Variable ◽  
State Space Systems ◽  
Linear State ◽  
Eigenvectors And Eigenvalues

AbstractLinear dynamical systems of the Rayleigh form are transformed by linear state variable transformations , where A and B are chosen to simplify analysis and reduce computing time. In particular, A is essentially a square root of M, and B is a Lyapunov quotient of C by A. Neither K nor C is required to be symmetric, nor is C small. The resulting state-space systems are analysed by factorisation of the evolution matrices into reducible factors. Eigenvectors and eigenvalues are determined by these factors. Conditions for further simplification are derived in terms of Kronecker determinants. These results are compared with classical reductions of Rayleigh, Duncan, and Caughey, which are reviewed at the outset.

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