This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for vectored thrust aerial vehicle (VTAV). With the SA strategy, we proposed a linear-quadratic-Gaussian (LQG) flight control procedure for an unmanned helicopter model with vectored thrust configuration. This LQG control for chosen model of VTAV has been verified by simulatio...

The Clowes & Campusano large quasar group (LQG) at z̄ = 1.28 has been re-examined using the quasar data from the DR7QSO catalogue of the Sloan Digital Sky Survey. In the 1991 discovery, the LQG impinged on the northern, southern and eastern limits of the survey. In the DR7QSO data, the western, northern and southern boundaries of the LQG remain essentially the same, but an extension eastwards of...

With a semiclassical polymerization in the loop quantum gravity (LQG), interior of Schwarzschild black holes provides captivating single-horizon regular hole spacetime. The shortage rotating models (LQG) substantially restrains progress testing LQG from observations. Motivated by this, starting with spherical as seed metric, we construct spacetime using revised Newman-Janis algorithm, namely, L...

This paper has been designed optimize feed-back controller for dynamic response of the power systems. The power system consists of the infinite bus through a transmission line supplied by a synchronous machine and also multi machine power system. The effect of two control signals fed to the voltage regulator and the mechanical system is investigated. Robust Linear quadratic Gawssian (LQG) contr...

We show that, when one draws a simple conformal loop ensemble (CLE? for ??(8/3,4)) on an independent ?-Liouville quantum gravity (LQG) surface and explores the CLE in natural Markovian way, surfaces (e.g., corresponding to interior of loops) that are cut out form Poisson point process disks. This construction allows us make direct links between LQG, (4/?)-stable processes, labeled branching tre...

2 Stochastic optimal control (discrete time) 2 2.1 The Linear-quadratic-Gaussian (LQG) case . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Message passing in LQG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Special case: kinematic control . . . . . . . . . . . . . . . . . . . . . . . . . ...

The instrumentation, i.e., sensors and actuators, in feedback control systems often contain nonlinearities, such as saturation, deadzone, quantization, etc. Standard synthesis techniques, however, assume that the actuators and sensors are linear. This technical note is intended to modify the LQR/LQG methodology into the so-called Instrumented LQR/LQG (referred to as ILQR/ILQG), which allows for...