Search results for "Article Subject"

showing 10 items of 698 documents

A simplified predictive control of constrained Markov jump system with mixed uncertainties

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/475808 Open Access A simplified model predictive control algorithm is designed for discrete-time Markov jump systems with mixed uncertainties. The mixed uncertainties include model polytope uncertainty and partly unknown transition probability. The simplified algorithm involves finite steps. Firstly, in the previous steps, a simplified mode-dependent predictive controller is presented to drive the state to the neighbor area around the origin. Then the trajectory of states is driven as expected to the origin by the final-step mode-independent pre…

Mathematical optimizationArticle Subjectlcsh:MathematicsApplied MathematicsPolytopeState (functional analysis)Analysis; Applied Mathematicslcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Set (abstract data type)Model predictive controlPolyhedronControl theoryTrajectoryInvariant (mathematics)AnalysisMathematicsMarkov jump
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Robust reliable control of uncertain discrete impulsive switched systems with state delays

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/197819 Open access This paper is concerned with the problem of robust reliable control for a class of uncertain discrete impulsive switched systems with state delays, where the actuators are subjected to failures. The parameter uncertainties are assumed to be norm-bounded, and the average dwell time approach is utilized for the stability analysis and controller design. Firstly, an exponential stability criterion is established in terms of linear matrix inequalities (LMIs). Then, a state feedback controller is constructed for the underlyin…

Mathematical optimizationArticle Subjectlcsh:MathematicsGeneral MathematicsControl (management)VDP::Technology: 500::Mechanical engineering: 570General EngineeringState (functional analysis)Linear matrixlcsh:QA1-939Stability (probability)VDP::Mathematics and natural science: 400::Mathematics: 410Dwell timeExponential stabilitylcsh:TA1-2040Control theoryFull state feedbacklcsh:Engineering (General). Civil engineering (General)ActuatorMathematics
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State-Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time-Delay Systems

2013

We investigate the state-feedback stabilization problem for a class of stochastic feedforward nonlinear time-delay systems. By using the homogeneous domination approach and choosing an appropriate Lyapunov-Krasovskii functional, the delay-independent state-feedback controller is explicitly constructed such that the closed-loop system is globally asymptotically stable in probability. A simulation example is provided to demonstrate the effectiveness of the proposed design method.

Mathematical optimizationClass (computer programming)Article SubjectApplied Mathematicslcsh:MathematicsFeed forwardState (functional analysis)lcsh:QA1-939Nonlinear systemControl theoryHomogeneousStability theoryAnalysisMathematicsAbstract and Applied Analysis
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Optimal Guaranteed Cost Control of a Class of Discrete-Time Nonlinear Systems with Markovian Switching and Mode-Dependent Mixed Time Delays

2013

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2013/653628 Open Access The guaranteed cost control problem is investigated for a class of nonlinear discrete-time systems with Markovian jumping parameters and mixed time delays. The mixed time delays involved consist of both the mode-dependent discrete delay and the distributed delay with mode-dependent lower bound. The associated cost function is of a quadratic summation form over the infinite horizon. The nonlinear functions are assumed to satisfy sector-bounded conditions. By introducing new Lyapunov-Krasovskii functionals and developing some ne…

Mathematical optimizationComputer simulationArticle SubjectApplied Mathematicslcsh:MathematicsMode (statistics)Function (mathematics)lcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Upper and lower boundsNonlinear systemQuadratic equationControl theoryConvex optimizationAnalysisMathematics
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On the Accuracy and Efficiency of Transient Spectral Element Models for Seismic Wave Problems

2016

This study concentrates on transient multiphysical wave problems for simulating seismic waves. The presented models cover the coupling between elastic wave equations in solid structures and acoustic wave equations in fluids. We focus especially on the accuracy and efficiency of the numerical solution based on higher-order discretizations. The spatial discretization is performed by the spectral element method. For time discretization we compare three different schemes. The efficiency of the higher-order time discretization schemes depends on several factors which we discuss by presenting numerical experiments with the fourth-order Runge-Kutta and the fourth-order Adams-Bashforth time-steppin…

Mathematical optimizationDiscretizationArticle Subjectseismic wavesQC1-999Spectral element methodGeneral Physics and Astronomy010103 numerical & computational mathematics010502 geochemistry & geophysics01 natural sciencesSeismic wavetransient spectral element models0101 mathematics0105 earth and related environmental sciencesMathematicsta113ta114Computer simulationSynthetic seismogramApplied MathematicsPhysicsta111Mathematical analysisAcoustic waveWave equationseismic wave problemsTransient (oscillation)Advances in Mathematical Physics
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Confidence Intervals for the Mean Based on Exponential Type Inequalities and Empirical Likelihood

2013

For independent observations, recently, it has been proposed to construct the confidence intervals for the mean using exponential type inequalities. Although this method requires much weaker assumptions than those required by the classical methods, the resulting intervals are usually too large. Still in special cases, one can find some advantage of using bounded and unbounded Bernstein inequalities. In this paper, we discuss the applicability of this approach for dependent data. Moreover, we propose to use the empirical likelihood method both in the case of independent and dependent observations for inference regarding the mean. The advantage of empirical likelihood is its Bartlett correcta…

Mathematical optimizationEmpirical likelihoodArticle SubjectBounded functionStatisticsBernstein inequalitiesInferenceInterval (mathematics)Simple extensionExponential typeConfidence intervalMathematicsISRN Biomathematics
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Robust control for autonomous spacecraft evacuation with model uncertainty and upper bound of performance with constraints

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/589381 This paper studies the problem of guaranteed cost control for spacecraft evacuation. The relative dynamic model is established based on Clohessy-Wiltshire (C-W) equations. The paper has taken parameter uncertainty, output tracking, disturbance attenuation, and fuel cost into consideration. The paper introduces a new Lyapunov approach, so the controller design problem can be transferred into a convex optimization problem subject to linear matrix inequality (LMI) constraints. By using the controller, the spacecraft evacuation can be …

Mathematical optimizationEngineeringArticle SubjectSpacecraftbusiness.industryGeneral Mathematicslcsh:MathematicsControl (management)VDP::Technology: 500::Mechanical engineering: 570General EngineeringLinear matrix inequalityComputerApplications_COMPUTERSINOTHERSYSTEMSTracking (particle physics)lcsh:QA1-939Upper and lower boundsEngineering (all)Control theorylcsh:TA1-2040Convex optimizationMathematics (all)Robust controlbusinesslcsh:Engineering (General). Civil engineering (General)Mathematics (all); Engineering (all)
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Improving Performance of Evolutionary Algorithms with Application to Fuzzy Control of Truck Backer-Upper System

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/709027 Open access We propose a method to improve the performance of evolutionary algorithms (EA). The proposed approach defines operators which can modify the performance of EA, including Levy distribution function as a strategy parameters adaptation, calculating mean point for finding proper region of breeding offspring, and shifting strategy parameters to change the sequence of these parameters. Thereafter, a set of benchmark cost functions is utilized to compare the results of the proposed method with some other well-known algorithms.…

Mathematical optimizationEngineeringSequenceArticle Subjectbusiness.industryGeneral Mathematicslcsh:MathematicsLévy distributionGeneral EngineeringEvolutionary algorithmfuzzy controlFuzzy control systemFunction (mathematics)lcsh:QA1-939shifting strategyVDP::Mathematics and natural science: 400::Mathematics: 410Set (abstract data type)lcsh:TA1-2040improving performanceBenchmark (computing)Point (geometry)trucksevolutionary algorithmsbusinesslcsh:Engineering (General). Civil engineering (General)Mathematical Problems in Engineering
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Qualitative Theory of Differential Equations, Difference Equations, and Dynamic Equations on Time Scales

2016

We are pleased to present this special issue. This volume reflects an increasing interest in the analysis of qualitative behavior of solutions to differential equations, difference equations, and dynamic equations on time scales. Numerous applications arising in the engineering and natural sciences call for the development of new efficient methods and for the modification and refinement of known techniques that should be adjusted for the analysis of new classes of problems. The twofold goal of this special issue is to reflect both the state-of-the-art theoretical research and important recent advances in the solution of applied problems.

Mathematical optimizationGeometric analysisDynamical systems theoryArticle SubjectDifferential equationComputer sciencelcsh:Tlcsh:Rlcsh:MedicineGeneral MedicineDelay differential equationlcsh:TechnologyGeneral Biochemistry Genetics and Molecular Biology[0-Belirlenecek]Examples of differential equationsNonlinear systemMultigrid methodEditorialSimultaneous equationsApplied mathematicslcsh:Qlcsh:ScienceGeneral Environmental Science
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Recent Developments on Fixed Point Theory in Function Spaces and Applications to Control and Optimization Problems

2015

1Department of Mathematics, Disha Institute of Management and Technology, Satya Vihar, Vidhansabha-Chandrakhuri Marg, Mandir Hasaud, Raipur, Chhattisgarh 492101, India 2Department of Mathematics and AppliedMathematics, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South Africa 3Departement de Mathematiques et de Statistique, Universite de Montreal, CP 6128, Succursale Centre-Ville, Montreal, QC, Canada H3C 3J7 4Department of Mathematics and Informatics, University of Palermo, Via Archirafi 34, 90123 Palermo, Italy

Mathematical optimizationOptimization problemArticle SubjectFunction spacelcsh:MathematicsInformaticsControl (management)Fixed-point theoremlcsh:QA1-939Mathematical economicsAnalysisMathematicsJournal of Function Spaces
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