It is supposed that the linear part in the forward loop is of parametric uncertainties described by interval perturbation mode, and that the non-linear part in the feedback loop is characterized by an integral quadratic constraint (IQC).

It is supposed that the linear part in the forward loop is of parametric uncertainties described by interval perturbation mode,and that the non\|linear part in the feedback loop is characterized by an integral quadratic constraint(IQC).

This paper considers the designs of static state feedback controller and dynamical reduced order output feedback controller for a class of systems simultaneously with matrix parameter uncertainty and independent uncertainty structure which is described in the form of integral quadratic constraint.

A computational model updating algorithm with the least squares under quadratic constraints is proposed.

A model updating optimization algorithm under quadratic constraints is applied to structure dynamic model updating.

An improved MOE blind multi-user detection algorithm based on RLS is proposed in order to overcome the shortcomings that the direct eigenvalue decomposition must be used and the quadratic constraint is not fulfilled in the traditional variable constraint MOE blind multi-user detection algorithm.

A reduced branch and bound approach for solving quadratic programming problem with quadratic constraints;

The paper presents a branch and reduce approach for solving nonconvex quadratic programming problems with quadratic constraints, which organically combines outer approximation method with branch and bound scheme.

The problem of non-convex quadratic program with quadratic constraints is considered.

The time domain integral constraints on error response for multivariable feedback control systems due to near cancellation of nominal s stable zero and compensator s stable pole near the jω-axis are developed.