this paper presents a new observer design methodology for a time varying actuator fault estimation. a new linear matrix inequality (lmi) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (fafe). the fafe is capable of estimating a wide range of time-varying actuator fault...

state estimation is the foundation of any control and decision making in power networks. the first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. this paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...

the main task of this work is related with the design of a class of siso robust control law for theregulation of substrate concentration (cdo) of an industrial activated sludge wastewater plant. the controldesign is related with an uncertainty estimator (reduced order observer) based active control. departing from the tracking error between the desired and the current substrate concentrations t...

the main task of this work is related with the design of a class of siso robust control law for theregulation of substrate concentration (cdo) of an industrial activated sludge wastewater plant. the controldesign is related with an uncertainty estimator (reduced order observer) based active control. departing from the tracking error between the desired and the current substrate concentrations t...

The Clopper-Pearson confidence interval has ever been documented as an exact approach in some statistics literature. More recently, such approach of interval estimation has been introduced to probabilistic control theory and has been referred as non-conservative in control community. In this note, we clarify the fact that the so-called exact approach is actually conservative. In particular, we ...

This paper shows that least-square estimation (mean calculation) in a reproducing kernel Hilbert space (RKHS) F corresponds to different M-estimators the original depending on function associated with F. In particular, we present proof of correspondence mean an RKHS for Gaussian robust performed Welsch M-estimator. result is generalized other types M-estimators. generalization facilitates defin...