in this paper, a robust integral of the sign error (rise) feedback controller is designed for a rigid-link electrically driven (rled) robot manipulator actuated by direct current dc motor in presence of parametric uncertainties and additive disturbances. rise feedback with implicitly learning capability is a continuous control method based on the lyapunov stability analysis to compensate an add...

In this paper, a robust local controller has been designed to balance the power for distributed energy resources (DERs) in an islanded microgrid. Three different DER types are considered in this study; photovoltaic systems, battery energy storage systems, and synchronous generators. Since DER dynamics are nonlinear and uncertain, which may destabilize the power system or decrease the performanc...

The paper proposes an observer synthesis for uncertain nonlinear systems, described by multimodels with unmeasurable premise variables, affected by unknown inputs. A proportional multi-integral observer is considered in order to estimate the system states and the unknown inputs and minimize the influence of the model uncertainties. The stability analysis and the observer synthesis are expressed...

The paper presents a new approach to the robust H ∞ control of an uncertain system via an output feedback controller which is both stable and positive real. The uncertain systems under consideration contain structured uncertainty described by integral quadratic constraints. The controller is designed to achieve absolute stabilization with a specified level of disturbance attenuation. The main r...

A robust desensitized cubature Kalman filtering (DCKF) for nonlinear systems with uncertain parameter is proposed. Sensitivity matrices are defined as the integral form, and desensitized cost function is designed by penalizing the posterior covariance trace by a sensitivity-weighting sum of the posteriori sensitivities. The DCKF gain is obtained by minimizing the desensitized cost function to a...

The problem of passivity analysis finds important applications in many signal processing systems such as digital quantizers, decision feedback equalizers and digital and analog filters. This paper considers the passivity analysis problem for a large class of systems which involve uncertain parameters, time delays, quantization errors, and unmodeled high order dynamics. By characterizing these a...

In this paper, we consider the robust H1 filtering problem for a general class of uncertain linear systems described by the so-called integral quadratic constraints (IQC’s). This problem is important in many signal processing applications where noises, nonlinearity, quantization errors, time delays, and unmodeled dynamics can be naturally described by IQC’s. The main contribution of this paper ...

A method is presented for synthesizing output estimators and disturbance feedforward controllers for continuous-time, uncertain, gridded, linear parameter-varying (LPV) systems. Integral quadratic constraints (IQCs) are used to describe the uncertainty. Since gridded LPV systems do not have a valid frequencydomain interpretation, the time-domain, dissipation inequality approach is followed. The...