A cascade discrete-continuous state estimator design is presented for a class of monotone systems with both continuous and discrete state evolution. The proposed estimator exploits the partial order preserved by the system dynamics in order to satisfy two properties. First, its computation complexity scales with the number of variables to be estimated instead of scaling with the size of the dis...

The recent increase of distributed generation has forced many distribution network operators to develop distribution automation and active network management. Many active distribution network management functions need accurate real-time estimates of the network state. In this paper, a distribution network state estimation algorithm is developed and used in conjunction with coordinated voltage c...

In this work, we propose a sensitivity-based approach to construct reduced-order state estimators based on recurrent neural networks (RNN). It is assumed that mechanistic model available but too computationally complex for estimator design and only some target outputs are of interest should be estimated. A can estimate the sufficient address such problem. We introduce an sensitivity analysis de...

This work investigates the design of alternative monitoring tools based on state estimators for industrial crystallization systems with nucleation, growth, and agglomeration kinetics. The estimation problem is regarded as a structure design problem where the estimation model and the set of innovated states have to be chosen; the estimator is driven by the available measurements of secondary var...

Despite the fact that histograms of speech DFT coefficients are super-Gaussian, not much attention has been paid to develop estimators under these super-Gaussian distributions in combination with perceptual meaningful distortion measures. In this paper we present log-spectral magnitude MMSE estimators under super-Gaussian densities, resulting in an estimator that is perceptually more meaningful...

This paper presents a new gradient estimator for the steady-state expected sojourn (system) time in a nonpreemptive priority queueing system. The estimator uses the concept of a phantom system, together with the basic ideas in harmonic gradient estimation, to develop a single simulation run estimator, termed the phantom harmonic gradient estimator. The estimator is shown to be strongly consiste...

This paper reports preliminary results of work focused on re exive and reactive controllers for managing a 20 degree-of-freedom (DOF) hand/arm system performing grasping tasks. The goal is to provide a framework for sensor-based controllers that acquire visual and haptic information on-line and use this data stream to re ne grasping solutions. We will present several such behaviors and illustra...

In this paper, we propose a new multi-rate state estimator for seeking control of hard disk drives, which has a proportional, integral, and discontinuous error feedback structure to improve robustness. Conventional state estimators do not have enough accuracy under the existence of external disturbances and model uncertainty. With the proposed estimator, the seeking control system of hard disk ...

In this paper, the design problem of state estimator for a class of neural networks of neutral-type is studied. A delaydependent linear matrix inequality (LMI) criterion for existence of the estimator is proposed by using the Lyapunov method. The criterion can be easily solved by various convex optimization algorithms. A numerical example with simulation results is given to show the effectivene...