In recent years, virtual synchronous generator (VSG) control algorithm has been widely studied in distributed grid-connected power inverters to deal with active and reactive adjustment by simulating the operation principle of actual generator. Nevertheless, once current sensor fails, inverter will lose its stability. To enhance fault-tolerant ability inverter, a new side sensor-less model predi...

AIMS The objectives of the present study are to describe the algorithm for VH(®) IVUS using the 45-MHz rotational IVUS catheter and the associated ex vivo validation in comparison to the gold standard histology. METHODS AND RESULTS The first phase of the present study was to construct the 45 MHz VH IVUS algorithm by using a total of 55 human coronary artery specimens [111 independent coronary...

In this paper, an Output Feedback Model Predictive Control for nonlinear systems is presented. The proposed output feedback control consists of the well known robust controller NCGPC (Nonlinear Continuous Time Generalized Predictive Control) and an open loop observer (a simulated model in parallel) in order to estimate the output derivatives and a regulation filter used to account for plant/mod...

A usual argument against GPC is its demand for processing power. In industry, however, this is not a serious argument if better control performance can be reached. As the development of new processors with increased performance takes place rather rapidly, the lag of processing power never was a long-term issue to prevent new algorithms from being introduced. This paper presents a practical real...

Wiener model identification and predictive control of a pH neutralisation process is presented. Input-output data from a nonlinear, first principles simulation model of the pH neutralisation process are used for subspace-based identification of a black-box Wiener-type model. The proposed nonlinear subspace identification method has the advantage of delivering a Wiener model in a format which is...

OBJECTIVES To review the literature and evaluate the evidence for the diagnostic outcome of arthrography, computed tomography (CT) and magnetic resonance imaging (MRI) in the assessment of temporomandibular joint (TMJ) disc position. METHODS A literature search from 1978 to 1994 was conducted. Data on sensitivity, specificity, predictive values and likelihood ratios were collected and, if not...

This paper deals with state estimation of micro tunable capacitor subjected to nonlinear electrostatic force. For this end a nonlinear observer has been designed for state estimation of the structure.  Necessary and sufficient conditions for construction of the observer are presented. Stability of the observer is checked using Lyapunov theorem. Observer design is based on converting of differen...

This paper examines emotion regulation defined as one of the components emotional intelligence ability and tests how predicts academic achievement, relationship quality, affective well-being outcomes in adolescents. Specifically, we examine two ways measuring ability—using performance test scores through knowledgeable informant observations (teachers). While previous research supports predictiv...

introduction: vertical root fracture (vrf) is common in endodontically treated teeth. conventional and digital radiographies have limitations for detection of vrfs. cone-beam computed tomography (cbct) offers greater detection accuracy of vrfs in comparison with conventional radiography. this study compared the effects of metal artifacts on detection of vrfs by using two cbct systems. methods a...

This paper presents a data-driven control for network of autonomous vehicles. The general scheme cruise is implemented set vehicles defined by nonlinear equation. Koopman operator allows representing the system in space (lifted space), suitable to get linear observer that used distributed instead model. proposed simplified design and also use Model Predictive Control (MPC) form.