نتایج جستجو برای: optimal stability algorithm

تعداد نتایج: 1308200  

R. Sundara Rajan R. Uthayakumar

In this paper we develop an economic order quantity model to investigate the optimal replenishment policies for instantaneous deteriorating items under inflation and trade credit. Demand rate is a linear function of selling price and decreases negative exponentially with time over a finite planning horizon. Shortages are allowed and partially backlogged. Under these conditions, we model the ret...

Journal: :J. Comput. Syst. Sci. 1996
Mauro Leoncini

Consider the Gaussian Elimination algorithm with the well-known Partial Pivoting strategy for improving numerical stability (GEPP). Vavasis proved that the problem of determining the pivot sequence used by GEPP is log space-complete for P, and thus inherently sequential. Assuming P 6 = NC, we prove here that either the latter problem cannot be solved in parallel time O(N 1=2?) or all the proble...

2001
M. Huang Nirmal - Kumar C Nair

-This paper reports a method to evaluate composite power system reliability indices incorporating the voltage stability margin criteria. To compute the load curtailment evaluation, an optimal power flow (OPF) computation algorithm, considering the steady state voltage stability margin constraint is developed. A steady state voltage stability indicator is first discussed for its applicability as...

2016
M. A. Elhameed Mahmoud M. Elkholy

Optimal power flow is the most complicated economical problem in power system operation. This is due to the nonlinearity of load flow equations and constraints on voltage, thermal limits and angle and voltage stability. The objective of this problem is to distribute system loads among generators with minimum cost while achieving all equality and inequality constraints. Nowadays, meta heuristic ...

2014
Ahmed Sabah Al-Araji

This paper presents an on-line nonlinear trajectory tracking control algorithm for differential wheeled mobile robot using optimal back-stepping technique based particle swarm optimization while following a pre-defined continuous path. The aim of the proposed feedback nonlinear kinematic controller is to find the optimal velocity control action for the real mobile robot. The particle swarm opti...

2003
Pascal Grieder Marco Lüthi Pablo A. Parrilo Manfred Morari

In this paper we present an approach to test stability and feasibility of discrete-time LTI systems subject to constrained optimal control. The analysis is based on the feedback solution of the constrained optimal control problem formulated in a Receding Horizon fashion. The validation procedure consists of two independent parts. For stability, a piecewise quadratic Lyapunov function is compute...

2013
R. Jahani

This paper presents a Imperialist Competitive Algorithm (ICA) to seek the optimal number and location of FACTS devices in a power system. Unified Power Flow Controller (UPFC) has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. Decoupled model of the UPFC is applied to maximize the system loadability subject to the transmission line capacit...

This paper presents a clear monograph on the optimization of thermal instability resistance of the FG (functionally graded) flat structures. For this aim, two FG flat structures, namely an FG beam and an FG circular plate, are considered. These structures are assumed to obey the first-order shear deformation theory, three-parameters power-law distribution of the constituents, and clamped bounda...

2007
Sudhakar Kalluri Gonzalo R. Arce

The Normalized Least Mean Square (NLMS) algorithm is an important variant of the classical LMS algorithm for adaptive linear FIR ltering. It provides an automatic choice for the LMS step-size parameter which aaects the stability, convergence speed and steady-state performance of the algorithm. In this paper, we generalize the NLMS algorithm by deriving a class of Nonlinear Normalized LMS-type (...

Privacy issues during data publishing is an increasing concern of involved entities. The problem is addressed in the field of statistical disclosure control with the aim of producing protected datasets that are also useful for interested end users such as government agencies and research communities. The problem of producing useful protected datasets is addressed in multiple computational priva...

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