نتایج جستجو برای: lqg algorithm

تعداد نتایج: 754698  

Journal: :CoRR 2003
E. S. Sazonov P. Klinkhachorn R. L. Klein

 The paper presents a hybrid system controller, incorporating a neural and an LQG controller. The neural controller has been optimized by genetic algorithms directly on the inverted pendulum system. The failure-free optimization process stipulated a relatively small region of the asymptotic stability of the neural controller, which is concentrated around the regulation point. The presented hyb...

2015
Tarek Hassan Mohamed Ahmed A. Zaki Diab Mahmoud M. Hussein Antonio Fernández-Caballero

This paper presented both the linear quadratic Gaussian technique (LQG) and the coefficient diagram method (CDM) as load frequency controllers in a multi-area power system to deal with the problem of variations in system parameters and load demand change. The full states of the system including the area frequency deviation have been estimated using the Kalman filter technique. The efficiency of...

2005
Thomas Thiemann

Recently the Master Constraint Programme (MCP) for Loop Quantum Gravity (LQG) was launched which replaces the infinite number of Hamiltonian constraints by a single Master constraint. The MCP is designed to overcome the complications associated with the non – Lie – algebra structure of the Dirac algebra of Hamiltonian constraints and was successfully tested in various field theory models. For t...

Journal: :Informatica, Lith. Acad. Sci. 2009
Nasko Atanasov

In the previous papers (Pupeikis, 2000; Genov et al., 2006), a direct approach for estimating the parameters of a discrete-time linear time-invariant (LTI) dynamic system, acting in a closed-loop in the case of additive correlated noise with contaminating outliers uniformly spread in it, is presented. It is assumed here that the parameters of the LQG (Linear Quadratic Gaussian Control) controll...

2006
Alejandro Perez

The problem of background independent quantum gravity is the problem of defining a quantum field theory of matter and gravity in the absence of an underlying background geometry. Loop quantum gravity (LQG) is a promising proposal for addressing this difficult task. Despite the steady progress of the field, dynamics remains to a large extend an open issue in LQG. Here we present the main ideas b...

2009
Bruce L. Dixon Richard E. Howitt

The empirical problem of natural resource management is typically the intertemporal allocation of product flows and resource stocks under uncertainty. National forest harvest scheduling is conceptualized in this study as a stochastic optimal control problem. In theory, optimal solutions to most stochastic control problems exist, but required computer costs are excessive even for problems of mod...

2004
Guoming Zhu Robert E. Skelton

Qptinnrrni controller designs are developed which take account of the digital round-of€ errors in the controller implementation and in the A/D and D/A converters for the case of uniform skewed sampling. Skewing the control samples allows the computational delay in the control computer t o be accommodated in the optimization problem. These results provide a very general extension to the LQG theo...

Journal: :Journal of Cosmology and Astroparticle Physics 2022

One of remarkable features loop quantum gravity (LQG) is that it can provide resolutions to both the black hole and big bang singularities. In mini-superspace approach based on polymerization procedure in LQG, a corrected metric constructed. This also known as self-dual spacetime since form invariant under exchange $r \to a_0/r$ with $a_0$ being proportional minimum area LQG $r$ standard radial...

Journal: :Physics 2022

The Barbero-Immirzi parameter ($\gamma$) is introduced in loop quantum gravity (LQG) whose physical significance still a biggest open question; because of its profound traits. In some cases, it real-valued; while, complex-valued other cases. This emerges out the process denoting Lorentz connection with non compact group $SO(3,1)$ form complex values rotations, either $SO(3)$ or $SU(2)$. Initial...

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