[PDF] Top 20 On a Numerical Algorithm for Uncertain System
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On a Numerical Algorithm for Uncertain System
... a numerical method for the computation of controls for system with bounded input ...Existing numerical methods for computing control signals for optimisation problems do not consider the situation ... See full document
9
An Algorithm for the Numerical Solution of System of Fractional Differential Equations
... derivatives, respectively. In section 5, we derive the fractional s method for the numerical solution of ordinary differential equations. The algorithm itself is presented in details in section 6. In ... See full document
5
Simulation optimization based ant colony algorithm for the uncertain quay crane scheduling problem Pages 111-132 Download PDF
... Simulation experiments are performed using Compare-run tool of Anylogic Software (Multimethod Software, 2015). AnyLogic is a multi-approach simulator, equipped with a rich and easy-to-master toolbox, that allows to ... See full document
22
Heat transfer distribution for a free/porous system with forced convection and heat generation – a numerical study
... The overall iterative solution procedure can be summarized, at each iteration level, as follows: (i) based on guessed or latest available values of the velocity components, density, and viscosity, the discretized ... See full document
8
Design and Evaluation of a Hierarchical Control Algorithm for an Electric Active Stabilizer Bar System
... The system dynamic models including vehicle and tire model, road input model and ASB actuator model are presented in Section ...ASB system is designed in Section 2. In Section 3, numerical ... See full document
12
Vibration Control of Aircraft Semi Active Suspension System using PID Bees Technique
... suspension system can provide good performance of both landing impact and taxi, and has the ability for adapting to various ground and operational ...Intelligent Algorithm as the optimization technique for ... See full document
8
An Improved Algorithm for Efficient Mining of Frequent Item Sets on Large Uncertain Databases
... The algorithm uses the first 10k tuples as the default data set as its ...mining algorithm, it uses the first 10k tuples as the old database D, and the subsequent tuples as the delta database ...operating ... See full document
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Application of Active Suspension System to Reduce Aircraft Vibration using PID Technique and Bees Algorithm
... Through numerical simulation and according to the parameters defining the stability conditions, we found that the approximate optimum set in Bees Algorithm produced the best control ...passive system ... See full document
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A smoothing type algorithm for solving inequalities under the order induced by a symmetric cone
... smoothing-type algorithm for solving the system of inequalities ...the algorithm is well defined by proving that solvability of the system of Newton ...the algorithm. The preliminary ... See full document
13
Numerical Investigation of Ejectors for Ejector Refrigeration System
... Green-gauss cell based, Green-gauss node based, least square cell based are three different gradient solving techniques. Least square cell based is preferred in this case as it best suits polyhedral meshes (in this case, ... See full document
6
A Novel Adaptive Sine Cosine Algorithm for Global Numerical Optimization
... MHz.External system and internal system are two categories of acoustic detection techniques based on sensor location in ...External system is widely accepted as sensors are mounted outside of the ... See full document
15
Measurement of the point spread function of a noisy imaging system
... Five-point numerical differentiation; Regularized numerical differentiation using Chartrand’s algorithm; Regularized numerical differentiation using Chartrand’s algorithm followed by a ... See full document
15
KNOWLEDGE MINING AND BROADCATING IN HEALTHCARE
... predictive system which analyses certain parameters and predicts whether a person is at risk for diabetes and cardiovascular diseases using naïve bayes ...The system helps to control and diagnose of ... See full document
6
Control System Design for a Centrifuge Motion Simulator Based on a Dynamic Model
... Robot control is a challenging task due to high nonlinearity of robot dynamics and coupling effects between the joints. To deal with the nonlinearity and time variability of robot dynamics, many advanced control ... See full document
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Data Measuring System for Torque Measurement on Running Shafts Based on a Non-Contact Torsional Dynamometer | Journal of Engineering Sciences
... To determine and record the torque value, a device (strain-gauge coupling) has been developed, which con- sists of a torque pin and placed in it resistive-strain gages, boost, wi_fi transmitter and battery. To register ... See full document
7
Uncertainty quantification and Heston model
... Among the whole set of possible random parameters, κ , υ ¯ and γ have an important role as they are involved in the Feller condition. As a first approach and in order to simplify the results to visualize some conclusions, ... See full document
12
A Fast Fixed Point Continuation Algorithm with Application to Compressed Sensing
... Compressed Sensing (CS) [1] is an emerging developed theoretical framework for information acquisition and processing, which breaks the limitation of traditional sampling theorem. It includes three parts: sparse ... See full document
5
Research on Similarity Nodes Query Algorithm ...
... query algorithm is shorter than that of the two-dimensional matrix, which indicates that the representation of the matrix can shorten the query time and improve the query efficiency ... See full document
12
Building a User Interface Based on MATLAB for Control System Studies
... Software technology provides a highly interactive and powerful learning environment for system theory and simulation in some engineering disciplines. This paper describes the development and implementation of an ... See full document
9
A Survey of Clustering Algorithm for Very Large Datasets
... Birch helps to cluster on large data set using CF Tree that scans the data set only once and the second scan helps to improve the quality of the cluster. This algorithm can be used when limited memory is available ... See full document
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