A new approach to model reduction which preserves stability and passivity: An overview

Proceedings of the IEEE Conference on Decision and Control

Volumn 3, Issue , 2002, Pages 2544-2545

  Antoulas, A C ^a   Gugercin, S ^a  

^a Rice University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; RICCATI EQUATIONS; STATE SPACE METHODS; THEOREM PROVING; TRANSFER FUNCTIONS;

INVERSE POSITIVE REAL BALANCED REDUCTION; LANCZOS PROCEDURE; PASSIVE LINEAR DYNAMICAL SYSTEM; PASSIVITY; POSITIVE REAL BALANCED REDUCTION; SPECTRAL FACTORIZATION MODEL;

SYSTEM STABILITY;

EID: 0036996872     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. A.C. Antoulas, A new approach to model reduction with stability and passivity. Report ECE Dept., Rice University, March 2002.
2. A.C. Antoulas, Lectures on the approximation of linear dynamical systems, Draft, to appear, SIAM Press 2002.
3. S. Gugercin and A.C. Antoulas, On positive real balancing, Report ECE Dept., Rice University, August 2002.
4. S. Gugercin and A.C. Antoulas, On model reduction by the Lanczos Procedure and the rational Krylov method, Report ECE Dept., Rice University, March 2002.
5. E.J. Grimme, Krylov Projection Methods for Model Reduction, Ph.D. Thesis, ECE Dept., U. of Illinois, Urbana-Champaign (1997).