H2 and H$_\infty$ Filtering Design Subject to Implementation Uncertainty

Optimal input design for robust H2 deconvolution filtering

Deconvolution filtering where the system and noise dynamics are obtained by parametric system identification is considered. Consistent with standard identification methods, ellipsoidal uncertainty in the estimated parameters is considered. Three problems are considered: 1) Computation of the worst case H2 performance of a given deconvolution filter in this uncertainty set. 2) Design of a filter...

H2 Optimal Robust Filtering

Robust H2-controller Design under Structured Noise-uncertainty

We consider the problem of minimizing the worst asymptotic output variance of a control system that is affected by a structurally constrained class of noise. We discuss how to impose direct size-restrictions on the noise’s covariance matrices or multiple lower and upper bounds on its spectral density over various frequency intervals. Technically all these scenarios are translated into parametri...

Capacitor Placement in Distorted Distribution Network Subject to Wind and Load Uncertainty

Utilizing capacitor banks is very conventional in distribution network in order for local compensation of reactive power. This will be more important considering uncertainties including wind generation and loads uncertainty. Harmonics and non-linear loads are other challenges in power system which complicates the capacitor placement problem. Thus, uncertainty and network harmonics have been con...

Decentralized H_infty Quantizers Design for Networked Complex Composite Systems

The objective of the paper is to propose an approach to decentralized networked quantized state feedback H∞ controller design for a class of complex symmetric composite continuous-time systems. The effect of data-packet dropouts and communication delays between the plant and the local controller as well as quantizers design are included in the design of asymptotically stabilizing controller and...