Search results for "APT"

showing 10 items of 5479 documents

Predicting the Short-Term Exchange Rate Between United State Dollar and Czech Koruna Using Hilbert-Huang Transform and Fuzzy Logic

2017

In this paper, the combination of the Hilbert-Huang Transform, fuzzy logic and an embedding theorem is described to predict the short-term exchange rate from United States dollar to Czech Koruna. By Using the Hilbert-Huang Transform as an adaptive filter, the proposed method decreases the embedding dimension space from five (original samples) to four (de-noising samples). This dimension space provides the number of inputs to the fuzzy rule base system, which causes the number of rules, the time for training and the inference process to decrease. Experimental results indicated that this method achieves higher accuracy prediction than the direct use of original data.

Adaptive filterExchange rateFuzzy ruleDimension (vector space)Financial economicsEconomicsInferenceEmbeddingAlgorithmFuzzy logicHilbert–Huang transform
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Adaptive Kernel Learning for Signal Processing

2018

Adaptive filtering is a central topic in digital signal processing (DSP). By applying linear adaptive filtering principles in the kernel feature space, powerful nonlinear adaptive filtering algorithms can be obtained. This chapter introduces the wide topic of adaptive signal processing, and explores the emerging field of kernel adaptive filtering (KAF). In many signal processing applications, the problem of signal estimation is addressed. Probabilistic models have proven to be very useful in this context. The chapter discusses two families of kernel adaptive filters, namely kernel least mean squares (KLMS) and kernel recursive least‐squares (KRLS) algorithms. In order to design a practical …

Adaptive filterLeast mean squares filterSignal processingbusiness.industryComputer scienceKernel (statistics)Feature vectorProbabilistic logicContext (language use)businessAlgorithmDigital signal processing
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Stability Analysis of a Linear Parameter Varying Adaptive Output Feedback Control System

2021

Abstract Output feedback control systems often require an adaptive filter for properly shaping the loop transfer function, as certain system plant parameters may be uncertain or varying. This renders the overall closed loop to a linear parameter varying (LPV) system, for which the stability analysis is challenging due to non-trivial dynamics of the adaptation law. This paper develops a stability analysis technique of a feedback controlled oscillatory system. A polytopic overapproximation of the parameter set together with the feasibility of certain LMIs guarantees asymptotic stability of the closed loop. The varying filter parameter is only required to be lower and upper bounded, where the …

Adaptive filterRange (mathematics)Exponential stabilityControl and Systems EngineeringComputer scienceControl theoryControl systemBounded functionFilter (signal processing)Stability (probability)Transfer functionIFAC-PapersOnLine
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Smart Urban Profiling And Management – New Insights For Enhancing Innovative And Sustainable City Development

2020

Rapidly changing framework conditions for city development such as globalization, demographic trends, deindustrialization, technological developments or the increasing urbanization as well as the economic, social and political changes are profound and change our urban life. This leads, that the cities of tomorrow will differ essentially from today´s city principles. Therefore innovative, strategically wise and quick action becomes a criterion for success. Here, more than ever, local conditions and requirements must be taken into account as well as global framework conditions. The responsible parties have to set the course so that the “City” remains competitive and sustainable in the future.…

Adaptive managementProcess managementSustainable cityUrban planningSmart cityUrbanizationManagement systemSustainabilityCity marketingBusinessJournal of WEI Business and Economics
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Engineering Self-adaptive Systems: From Experiences with MUSA to a General Design Process

2019

Designing and developing complex self-adaptive systems require design processes having specific features fitting and representing the complexity of these systems. Changing requirements, users’ needs and dynamic environment have to be taken in consideration, also considering that, due of the self-adaptive nature of the system, the solution is not fixed at design time but it is a run-time outcome. Traditional design approach and life cycles are not suitable to design software systems where requirements continuously change at runtime. A new design process paradigm is needed to design such systems. In this Chapter, we present a retrospective analysis based on three projects developed in the las…

Adaptive managementbusiness.industryComputer scienceDesign processSoftware designDesign processSelf adaptiveSoftware engineeringbusinessAdaptive managementOutcome (game theory)Continuous change
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Adaptive memory programing for the robust capacitated international sourcing problem

2008

The International Sourcing Problem consists of selecting a subset from an available set of potential suppliers internationally located. The selected suppliers must meet the demand for items from a set of plants, which are also located worldwide. Since the costs are affected by macroeconomic conditions in the countries where the supplier and the plant are located, the formulation considers the uncertainty associated with changes in these conditions. We formulate the robust capacitated international sourcing problem by means of a scenario-optimization approach. When dealing with uncertainty, one of the most common approaches in the literature is to formulate the problem via a set of possible …

Adaptive memoryMathematical optimizationGeneral Computer ScienceComputer sciencebusiness.industryProcess (engineering)Management Science and Operations ResearchConstructiveTabu searchSet (abstract data type)Modeling and SimulationPath (graph theory)Combinatorial optimizationLocal search (optimization)businessComputers & Operations Research
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Scatter Search and Path Relinking: Foundations and Advanced Designs

2004

Scatter Search and its generalized form Path Relinking, are evolutionary methods that have been successfully applied to hard optimization problems. Unlike genetic algorithms, they operate on a small set of solutions and employ diversification strategies of the form proposed in Tabu Search, which give precedence to strategic learning based on adaptive memory, with limited recourse to randomization. The fundamental concepts and principles were first proposed in the 1970s as an extension of formulations, dating back to the 1960s, for combining decision rules and problem constraints. (The constraint combination approaches, known as surrogate constraint methods, now independently provide an impo…

Adaptive memoryMathematical optimizationOptimization problemPath (graph theory)Context (language use)Relaxation (approximation)Global optimizationMetaheuristicTabu searchMathematics
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Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography

2022

Background and objective: Recently, various algorithms have been introduced using wrist-worn photo-plethysmography (PPG) to provide high accuracy of instantaneous heart rate (HR) estimation, including during high-intensity exercise. Most studies focus on using acceleration and/or gyroscope signals for the motion artifact (MA) reference, which attenuates or cancels out noise from the MA-corrupted PPG signals. We aim to open and pave the path to find an appropriate MA reference selection for MA cancelation in PPG.Methods: We investigated how the acceleration and gyroscope reference signals correlate with the MAs of the distorted PPG signals and derived both mathematically and experimentally a…

Adaptive motion artifact reference selectionInstantaneous heart rate (HR)Gyroscope signalAccelerationSignal Processing Computer-AssistedHealth InformaticsSettore ING-INF/01 - ElettronicaComputer Science ApplicationsAcceleration signalMotionHeart RateSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaReflectance-type photoplethysmography (PPG)PhotoplethysmographyArtifactsAlgorithmsSoftwareComputer Methods and Programs in Biomedicine
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Fuzzy control of pH using NAL

1991

Abstract A fuzzy controller for a neutralization process is described. The controller was set up for a laboratory pilot plant. The approach is shown to be effective and can be extended to highly nonlinear and nonstationary processes. The “operator” knowledge encoded in the rules was obtained by several experimental runs of the system using manual control. Rules are composed using the max-min compositional rule of inference. The use of metarules, which depends on controller performance and on active disturbances, makes the controller behave like an adaptive controller. The control program is encoded in NAL, a new experimental logic programming language that was first used in this work in a r…

Adaptive neuro fuzzy inference systemAdaptive controlAutomatic controlComputer scienceApplied Mathematicsfuzzy logicpH controlexpert systemsFuzzy control systemprocess controladaptive controlDefuzzificationFuzzy logicTheoretical Computer Sciencelogic programmingArtificial IntelligenceControl theoryFuzzy numberSoftwareInternational Journal of Approximate Reasoning
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Fuzzy modeling and control for a class of inverted pendulum system

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/936868 Open Access Focusing on the issue of nonlinear stability control system about the single-stage inverted pendulum, the T-S fuzzy model is employed. Firstly, linear approximation method would be applied into fuzzy model for the single-stage inverted pendulum. At the same time, for some nonlinear terms which could not be dealt with via linear approximation method, this paper will adopt fan range method into fuzzy model. After the T-S fuzzy model, the PDC technology is utilized to design the fuzzy controller secondly. Numerical simulation res…

Adaptive neuro fuzzy inference systemArticle SubjectMathematics::General Mathematicslcsh:MathematicsApplied MathematicsFuzzy control systemAnalysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Fuzzy logicInverted pendulumNonlinear systemControl theoryControl systemLinear approximationAnalysisMathematics
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