Bilinearity and complementarity in robust control
Advances in linear matrix inequality methods in control
Optimization Problems over Positive Pseudopolynomial Matrices
SIAM Journal on Matrix Analysis and Applications
Brief paper: Guaranteed tuning, with application to robust control and motion planning
Automatica (Journal of IFAC)
LPV control and full block multipliers
Automatica (Journal of IFAC)
Brief An LMI condition for robust stability of polynomial matrix polytopes
Automatica (Journal of IFAC)
H∞state feedback controller design with mixed frequency specifications
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Automatica (Journal of IFAC)
Hi-index | 22.15 |
Recently, several new LMI conditions for stability of linear systems have been proposed, introducing additional slack variables to reduce the gap between conservative convex quadratic stability conditions and intractable non-convex robust stability conditions. In this paper, we show that these improved LMI conditions can be derived with the help of some basic results on positive polynomial matrices. The approach allows us to derive in a unifying way results in the state-space and polynomial frameworks. Applications to robust stability analysis and robust stabilization of systems with multi-linear parametric uncertainty are fully described.