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This paper deals with the update step of Gaussian MAP filtering. In this framework, we seek a Gaussian approximation to the posterior probability density function (PDF) whose mean is given by the maximum a posteriori (MAP) estimator. We propose two novel optimization algorithms which are quite suitable for finding the MAP estimate although they can also be used to solve general optimization problems...
Helicopter has significant attributes as compared to its aircraft counterparts due to its capability to hover around smaller space. This advantage is very useful during air-sea mission, surveillance and disaster monitoring. However, it comes with a price where the system exhibits not only increased in sensitivity to control inputs and disturbances but also a much higher dynamics. A pitch angle control...
Achieving the required onboard serviceability of safety equipment at minimum cost is of interest to airlines. This paper addresses the integration of radio frequency identification (RFID) technology into aircraft maintenance programs to improve the economics of safety equipment inspections. A problem that airlines face, which is addressed in this article, is how to determine the frequency of scheduled...
The present paper deals with the path planning of a mobile object and optimisation of the locally generated safe path. It proposes a trajectory generation algorithm using fuzzy logic controllers in both directions propagation and obstacles avoidance. Associated with a workspace modelling, the algorithm tries to obtain a quasi-optimal global safe path for an autonomous mobile object which has to move...
The problem of observer design for robust residual generation in nonlinear discrete-time systems is considered. The method is proposed to solve this problem involving nonlinear time-dependent transformation of state-space system model into strict feedback form. To make this transformation practicable, algebra of time-dependent functions is developed.
New algorithms are presented for the computation of good upper and lower bounds on the structured singular value μ, for high order plants subject to purely real or mixed real/complex uncertainty. A geometric form of the Hahn-Banach theorem is used to develop an algorithm for computing an upper bound on μ, involving a linear program and a symmetric eigenvalue problem at each iteration. A proof of convergence...
In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy...
In this paper, we investigate the performances of two different algorithms for calculating the metro vehicles speed profiles minimizing the energy consumption of a given path. The optimization problem, formulated as a Mixed-Integer Nonlinear Programming (MINLP) problem, take into account constraints related to the trip (time-table, distances, acceleration limits, etc.) and constraints related to the...
This paper intends to demonstrate use of Genetic Algorithm for solving fractional programming and which can be extended for DEA. Genetic Algorithm is one of the non-traditional algorithms for solving optimization problems. The multivariable fraction may have multiple optimum points. Genetic algorithm does not run the risk of getting trapped into the local minimum or maximum. The traditional optimization...
The present work describes the production of the ultrapure water using Continuous Electro-deionization (CEDI) method. The CEDI unit consist of ion exchange membranes, Mixed Bed-12 (MB-12) ion exchange resin and electrodes to remove ion impurities from feed water. The product water from the RO unit is supplied to the CEDI unit. The Quality of the ultra-pure water is determined by the amount of ions...
Positron annihilation is a well-established technique for producing spectra which can be analyzed for extracting physically meaningful parameters that characterize material defects and vacancies on an atomic scale. Mathematically, this is based on fitting a parameter-dependent model to the experimental data. Traditionally, this fit involves local nonlinear optimization routines that depend on a reasonable...
In this article we present a new technique for determining the parameters of induction machine backstepping control that achieve the best performance of this control, while ensuring respect of the physical limits of the induction machine. This technique was designed based on the genetic algorithm optimization technique. The validation of this technique was made by simulation using Matlab, the obtained...
In this paper a novel planning system for coils route optimisation among different processing steps of a generic steelmaking plant will be presented. This new approach, in addition to production times and costs, considers also customers' quality requirements. The system is based on Multi-Objective Optimisation and, in particular, it can exploit different paradigms of Multi-Objective Evolutionary Algorithms...
This paper demonstrates the capability of four dipoles antenna (two-dimensional array) to steer the beam to arbitrary direction. A combination of genetic algorithm and array analysis based on the Induced EMF method optimised the input excitation of each dipole to maximise the main lobe to any azimuth direction. The optimisation is performed using MATLAB software. The Induced EMF method incorporates...
Open source Development Model Algorithm (ODMA) is one of the recently proposed heuristic algorithms that is inspired by open source software development mechanism and community's behaviors. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO). However, the original version of this...
Gravitational Search Algorithm (GSA) is a population-based optimization algorithm based on Newton's law of gravity and the notion of mass interactions. GSA has the advantage of proper global search ability. However, it suffers from weak local search due to relatively big step-size of agents in the search process. In order to improve the balance between exploration and exploitation of GSA, two mechanisms...
Laplacian Eigenmaps (LE) is a typical nonlinear graph-based (manifold) dimensionality reduction (DR) method, applied to many practical problems such as pattern recognition and spectral clustering. It is generally difficult to assign appropriate values for the neighborhood size and heat kernel parameter for LE graph construction. In this paper, we modify graph construction by learning a graph in the...
In recent decades, due to limitation of radio spectrum and increasing users in wireless networks, spectral efficiency has been a considerable issue in literatures. In addition, energy consumption is rapidly increasing in wireless communications due to growing demand for wireless technologies especially cellular networks. Therefore, energy efficiency has become an important issue in such networks....
For the world's first Offshore Floating Dock(OFD), the dimension control system and method to aim at managing the dimension of offshore blocks in the process of erection are developed. This paper introduces the dimension control system and deals with the method of creating a simplified OFD model and of optimizing ballast-water plan to satisfy the demanded dimension of erected offshore plant blocks...
During the last decade, energy efficiency became one of the most challenging research fields in the IT domain. After optimising large-scaled hardware infrastructures, e.g. computing centres or server clusters, nowadays the focus has changed rapidly. Current R&D projects deal with two major areas. On the one hand embedded, energy self-sufficient system architectures and on the other hand wireless...
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