Summer School on Numerical Linear Algebra for Dynamical and High-Dimensional Problems Trogir October 10-15, 2011 Solution of Computational Problems for Descriptor Systems Matthias Voigt Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg, Germany MAX PLANCK INSTITUTE FOR DYNAMICS OF COMPLEX TECHNICAL SYSTEMS MAGDEBURG NETWORK THEORY Max Planck Institute Magdeburg Matthias Voigt, Solution of Computational Problems for Descriptor Systems 1/7 Descriptor Systems Given: LTI descriptor system Σ: ( E ẋ(t) = Ax(t) + Bu(t), y (t) = Cx(t) + Du(t), E , A ∈ Rn×n , B ∈ Rn×m , C ∈ Rp×n , D ∈ Rp×m , descriptor vector x(t) ∈ Rn , input vector u(t) ∈ Rm , output vector y (t) ∈ Rp . Assumptions: λE − A is regular, i.e. det(λE − A) 6≡ 0. Transfer function G (s) = C (sE − A)−1 B + D Max Planck Institute Magdeburg Matthias Voigt, Solution of Computational Problems for Descriptor Systems 2/7 Additional Structures Bounded realness G has no poles with nonnegative real parts, I − G (iω)G H (iω) < 0 for all values ω ∈ R. Positive realness G has no poles with positive real parts, G (iω) + G H (iω) < 0 for any iω that is not a pole of G with ω ∈ R, if iω or ∞ is a pole of G , then it is simple and the relevant residue matrix is positive semidefinite Hermitian. General frequency domain inequalities (FDIs) H Q (iωE − A)−1 B I ST Max Planck Institute Magdeburg S R (iωE − A)−1 B < 0, Q = Q T , R = R T . I Matthias Voigt, Solution of Computational Problems for Descriptor Systems 3/7 Connection to Linear Matrix Inequalities Bounded real lemma Under certain conditions: G is bounded real if and only if the LMI T A X + XTA + CTC XTB + CTD 4 0, E T X = X T E < 0 is feasible. BT X + DT C DT D − I Positive real lemma Under certain conditions: G is positive real if and only if the LMI T A X + XTA XTB − CT 4 0, E T X = X T E < 0 is feasible. BT X − C −D T − D Kalman-Yakubovič-Popov lemma Under certain conditions: FDI holds for all iω if and only if the LMI T A X + XTA + Q XTB + S < 0, E T X = X T E is feasible. BT X + ST R Max Planck Institute Magdeburg Matthias Voigt, Solution of Computational Problems for Descriptor Systems 4/7 Problems under Consideration Weakening equivalence conditions The conditions which are needed to state equivalence are quite strong at the moment =⇒ weaking this conditions to make it more practical. Passivity enforcement Bounded realness/positive realness/FDI are natural properties of real-world systems. Often these are lost due to modeling errors/approximation errors =⇒ restore this by introducing small errors to system’s matrices (can be done by perturbation of purely imaginary eigenvalues of skew-Hamiltonian/Hamiltonian matrix pencils (next slide)). Max Planck Institute Magdeburg Matthias Voigt, Solution of Computational Problems for Descriptor Systems 5/7 Skew-Hamiltonian/Hamiltonian Matrix Pencils Properties F G R block structure: λS − H = λ − H FT T skew-Hermitian G , H, and Hermitian S, T , S −R T with Hamiltonian eigensymmetry (symmetry with respect to imaginary axis (and the real axis in the real case)), pencils λS̃− H̃ :=J P T J T (λS − H) P 0 I with J = are again sH/H, −I 0 structured Schur form: S1 S2 H T T J Q J (λS − H) Q = λ − 1 0 S1T 0 H2 , −H1T with orthogonal Q, upper triangular S1 , and H1 ; however existence cannot be guaranteed, can be solved by structured embedding. Max Planck Institute Magdeburg Matthias Voigt, Solution of Computational Problems for Descriptor Systems 6/7 Problems under Consideration Structure-preserving balancing Goal: find a simple J -congruence transform such that: in the transformed pencil a maximum number of eigenvalues has been isolated (i.e., part of the pencil is in structured Schur form), in the remainder, the rows and columns of the pencil are as close in norm as possible (to improve numerical accuracy). Perturbation theory for purely imaginary eigenvalues For many applications the interesting eigenvalues of skew-Hamiltonian/Hamiltonian pencils are the purely imaginary ones. Question: How to move these eigenvalues off the imaginary axis by structured perturbations? might be possible by arbitrarily small perturbations if some of the purely imaginary eigenvalues are not simple, depends on the skew-Hamiltonian/Hamiltonian Kronecker canonical form. Max Planck Institute Magdeburg Matthias Voigt, Solution of Computational Problems for Descriptor Systems 7/7
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