Sentence examples for norm performance from inspiring English sources

This paper considers the problem of finding a controller for a discrete time linear periodically time-varying system with structured parametric uncertainty which achieves robust ℓ2 semi-norm performance (the equivalent of robust H2 norm performance for time-varying systems).

This design scheme combines the strong robustness of the sliding mode control with the H∞ norm performance.

We explore the stability and the induced L2 norm performance of these systems using parameter-dependent Lyapunov functionals.

This paper presents a novel controller design approach for linear parameter-varying (LPV) systems to guarantee the stability with an induced L2 norm performance.

The dynamical compensator designed by the proposed method can guarantee that the resultant closed-loop uncertain descriptor system is regular, impulse-free, stable and keeps certain H∞ norm performance in the normal condition as well as in the event of sensor and actuator failures.

Dynamic neural network models trained by the proposed P2PEDLL based on matrix inequality formulation are exponentially stable, with a guaranteed exponential peak-to-peak norm performance.

Firstly, a stability condition and an H∞-norm performance condition are derived.

It is then shown that the resulting robust controller achieves worst-case ℓ2 semi-norm performance which is comparable to the best achievable ℓ2 semi-norm performance for the nominal system.

Using this methodology, a controller is designed for a set of hard disk drives which minimizes the worst-case ℓ2 semi-norm performance of the system.

Parameter-dependent nonconvex conditions for stabilizable and induced L2-norm performance controllers are solved by an iterative linear matrix inequalities (LMI) optimization.

Sufficient conditions for stability and induced l2-norm performance of an LPV system are given through a set of Linear Matrix Inequalities (LMIs) and exploited for design.