This paper proposes a novel method to compute an upper bound on the induced L2-gain for a linear parameter varying (LPV) system with rational parameter dependence.The proposed method relies on a standard dissipation inequality condition. Thestorage function is a quadratic function of the state and a rational function of theparameters. The specific parameter dependence is restricted to involve (fixed) rationalfunctions and an affine term with free decision variables. Finsler\u27s lemma and affineannihilators are used to formulate sufficient linear matrix inequality (LMI) conditions forthe dissipativity relation. The dimension and conservatism of the resulting LMI problemare reduced by the joint application of minimal generators and maximal a...
This paper deals with the problem of H-infinity guaranteed cost control for linear parameter varying...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
Gain-scheduling approach is a powerful tool but it only guarantees the local stability and performan...
An optimization based systematic passivity analysis procedure and an output projection is proposed i...
Determining the induced L2 norm of a linear, parameter-varying (LPV) system is an integral part of m...
In this paper, we show and utilize new results on the relationship between passivity, zero dynamics ...
The conventional (linear) notion of finite L<sub>2</sub>-gain has been extensively studied and appli...
A general approach is presented to analyze the worst case input/output gain for an interconnection o...
This paper considers linear dynamical systems restricted to square integrable trajectories. Followin...
To be able to analyze certain classes of non-linear systems, it is necessary to try to represent the...
Robust control system analysis and design is based on an uncertainty description, called a linear fr...
In this note, novel linear matrix inequality (LMI) analysis conditions for the stability of linear p...
Synthesising a gain-scheduled output feedback H∞ controller via parameter-dependent Lyapunov functio...
The paper presents a general approach to approximate a nonlinear system by a linear fractional repre...
International audienceAffine quadratic stability (AQS) is usually devoted to stability analysis of t...
This paper deals with the problem of H-infinity guaranteed cost control for linear parameter varying...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
Gain-scheduling approach is a powerful tool but it only guarantees the local stability and performan...
An optimization based systematic passivity analysis procedure and an output projection is proposed i...
Determining the induced L2 norm of a linear, parameter-varying (LPV) system is an integral part of m...
In this paper, we show and utilize new results on the relationship between passivity, zero dynamics ...
The conventional (linear) notion of finite L<sub>2</sub>-gain has been extensively studied and appli...
A general approach is presented to analyze the worst case input/output gain for an interconnection o...
This paper considers linear dynamical systems restricted to square integrable trajectories. Followin...
To be able to analyze certain classes of non-linear systems, it is necessary to try to represent the...
Robust control system analysis and design is based on an uncertainty description, called a linear fr...
In this note, novel linear matrix inequality (LMI) analysis conditions for the stability of linear p...
Synthesising a gain-scheduled output feedback H∞ controller via parameter-dependent Lyapunov functio...
The paper presents a general approach to approximate a nonlinear system by a linear fractional repre...
International audienceAffine quadratic stability (AQS) is usually devoted to stability analysis of t...
This paper deals with the problem of H-infinity guaranteed cost control for linear parameter varying...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
Gain-scheduling approach is a powerful tool but it only guarantees the local stability and performan...