Robust eigenvalue assignment in second-order systems: a gradient flow approach
From MaRDI portal
Publication:4354547
DOI<283::AID-OCA603>3.0.CO;2-Q 10.1002/(SICI)1099-1514(199707/08)18:4<283::AID-OCA603>3.0.CO;2-QzbMath0916.93029OpenAlexW1985447452MaRDI QIDQ4354547
No author found.
Publication date: 12 July 1999
Full work available at URL: https://doi.org/10.1002/(sici)1099-1514(199707/08)18:4<283::aid-oca603>3.0.co;2-q
Related Items
Least squares solution of the linear operator equation, A modified optimization method for robust partial quadratic eigenvalue assignment using receptances and system matrices, Optimal time-weightedH2model reduction for Markovian jump systems, Gradient-based maximal convergence rate iterative method for solving linear matrix equations
Uses Software
Cites Work
- Unnamed Item
- Isospectral flows on symmetric matrices and the Riccati equation
- Balanced realizations via gradient flow techniques
- The solution of the matrix equations \(AXB-CXD=E\) and \((YA-DZ,YC- BZ)=(E,F)\)
- Feedback stabilization of a second-order system: A nonmodal approach
- Linear and numerical linear algebra in control theory: Some research problems
- A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment
- Stable eigenvalue placement by constrained optimization
- Robust and well-conditioned eigenstructure assignment via sylvester's equation
- Robust eigensystem assignment for state estimators using second-order models
- A gradient flow approach to computing lq optimal output feedback gains
- Solution of the Sylvester matrix equation AXB T + CXD T = E
- A gradient flow approach to the robust pole‐placement problem
- Recurrent neural networks for synthesizing linear control systems via pole placement
- Numerically robust pole assignment for second-order systems
