PURPOSE Design and optimization of medical imaging systems benefit from accurate theoretical modeling that identifies the physical factors governing image quality, particularly in the early stages of system development. This work extends Fourier metrics of imaging performance and detectability index (d') to tomosynthesis and cone-beam CT (CBCT) and investigates the extent to which d' is a valid...

PURPOSE In the early development of new imaging modalities - such as tomosynthesis and cone-beam CT (CBCT) - an accurate predictive model for imaging performance is particularly valuable in identifying the physical factors that govern image quality and guiding system optimization. In this work, a task-based cascaded systems model for detectability index is proposed that describes not only the s...

In this paper, an observer based fuzzy adaptive controller (FAC) is designed fora class of large scale systems with non-canonical non-affine nonlinear subsystems. It isassumed that functions of the subsystems and the interactions among subsystems areunknown. By constructing a new class of state observer for each follower, the proposedconsensus control method solves the problem of unmeasured sta...

We examine the social perception of emotional intelligence (EI) through the use of observer ratings. Individuals frequently judge others' emotional abilities in real-world settings, yet we know little about the properties of such ratings. This article examines the social perception of EI and expands the evidence to evaluate its reliability and cross-judge agreement, as well as its convergent, d...

This paper presents an online, recursive filtering strategy for contour-based tracking. Approaching the tracking problem from an estimation perspective leads to an observer design for the visual track signal associated with an individual target in an image sequence. The track state of the observer is decomposed into group and shape components that describe the gross location and the nonrigid sh...

Under stress conditions, microalgae are known to accumulate large amounts of neutral lipids and carbohydrates, which can be used for biofuel production. However, on-line measurement of microalgal biochemical composition is a difficult task which makes the microalgal process rather difficult to manage. In this paper, we propose a so called adaptive interval observer for the on-line estimation of...

We present a nonlinear observer for continuous time dynamic system with state delay, and randomly missing measurements. Using the Lyapunov energy (LE) functional, we derive sufficient conditions for the local asymptotic stability for the observer state error equations. The observer performance without and with missing measurements is evaluated by simulations implemented in MATLAB. The results v...

This paper present the modeling, analysis of 8/6 SRM using Fuzzy logic with Hybrid observer algorithm. In this algorithm the estimation of rotor position speed and error of speed is measured respectively. This algorithm has been simulated with MATLAB / Simulink for non-linear model of 8/6 SRM and has been designed with Hybrid observer using Current Sliding Mode Observer and Flux Linkage Mode Ob...

Disturbance observer based robot control algorithms provide good control performance while giving a straightforward method of gain selection. Unfortunately, the stability of these algorithms has not been shown rigorously for nonlinear systems such as robots. This paper demonstrates that a disturbance observer based algorithm can be made equivalent to the well-known passivity-based approaches of...

This paper deals with the design of a high gain observer and sliding mode controller for a remotely controlled quadrotor vertical take off and landing aircraft. Under the restriction that only the inertial coordinates and yaw angle are available for measurement, a high gain observer is designed which allows estimating on-line the roll and pitching angles as well as all the linear and angular ve...