A new approach to the problem of minimizing L/sub 2/-sensitivity subject to L/sub 2/-norm scaling constraints for state-space digital filters is proposed. Using linear-algebraic techniques, the problem at hand is converted into an unconstrained optimization problem, and the unconstrained problem obtained is then solved by applying an efficient quasi-Newton algorithm. Computer simulation results are presented to demonstrate the effectiveness of the proposed technique.