Search results for "learning theory"

showing 10 items of 216 documents

The grass is always greener on the other side of the fence: the effect of misperceived signalling in a network formation process

2007

Social and economic networks are becoming increasingly popular in the last ten years, because of both the application of game theory to the network formation processes4, and the study of stochastic processes that fit the statistical properties of real world social networks.5 In the very recent years there have also been attempts to combine the contribution of these two streams of research, trying to find strategic models whose equilibria resemble the empirical data.6 A well known source of debate in the game theoretical approach is the incompatibility between stability and efficiency: in most of the models Nash equilibria are actually not the network architectures that maximize the overall …

Network architectureEngineeringEconophysicsProcess (engineering)business.industryStochastic processStability (learning theory)Network formationNETWORKSTransport engineeringsymbols.namesakeNash equilibriumsymbolsnetwork formation segregationbusinessMathematical economicsGame theory
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Fuzzy cooperative control of automated ground passenger vehicles

2007

In this paper a fuzzy motion control for cooperative passenger automated vehicles where there are not collisions between the closest ones is proposed. Based on the position of the target and on the initial position of each cooperative vehicle, a supervisory plans nonholonomic circular trajectories which are without intersections, while a fuzzy control strategy assures the asymptotical stability of the motion errors and the reaching of the target with low acceleration values along the planned trajectories. Based on the ISO 2631-1 standard, the saturation properties of the fuzzy maps guarantees low values of the longitudinal and lateral accelerations to assure the comfort of the passengers. T…

Nonholonomic systemEngineeringFuzzy control Automatic control Land vehicles Road vehicles Trajectory Acceleration ISO standards Motion control Motion planning Asymptotic stabilitybusiness.industryStability (learning theory)Control engineeringFuzzy control systemMotion controlFuzzy logicComputer Science::RoboticsAccelerationSettore ING-INF/04 - AutomaticaExponential stabilityControl theoryPosition (vector)business2007 IEEE Conference on Emerging Technologies & Factory Automation (EFTA 2007)
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Improving the stability bound for the PPH nonlinear subdivision scheme for data coming from strictly convex functions

2021

Abstract Subdivision schemes are widely used in the generation of curves and surfaces, and therefore they are applied in a variety of interesting applications from geological reconstructions of unaccessible regions to cartoon film productions or car and ship manufacturing. In most cases dealing with a convexity preserving subdivision scheme is needed to accurately reproduce the required surfaces. Stability respect to the initial input data is also crucial in applications. The so called PPH nonlinear subdivision scheme is proven to be both convexity preserving and stable. The tighter the stability bound the better controlled is the final output error. In this article a more accurate stabilit…

Nonlinear subdivision0209 industrial biotechnologybusiness.industryComputer scienceApplied MathematicsStability (learning theory)020206 networking & telecommunications02 engineering and technologyConvexityComputational MathematicsNonlinear system020901 industrial engineering & automationScheme (mathematics)0202 electrical engineering electronic engineering information engineeringApplied mathematicsVariety (universal algebra)businessConvex functionComputingMethodologies_COMPUTERGRAPHICSSubdivisionApplied Mathematics and Computation
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Efficiency and Stability of a Family of Iterative Schemes for Solving Nonlinear Equations

2019

In this paper, we construct a family of iterative methods with memory from one without memory, analyzing their convergence and stability. The main aim of this manuscript yields in the advantage that the use of real multidimensional dynamics gives us to decide among the different classes designed and, afterwards, to select its most stable members. Some numerical tests confirm the theoretical results.

Nonlinear systemComputer scienceIterative methodConvergence (routing)Stability (learning theory)Applied mathematicsConstruct (python library)Numerical tests
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Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach

2014

This article is concerned with the stabilization problem for nonlinear networked control systems which are represented by polynomial fuzzy models. Two communication features including signal transmission delays and data missing are taken into account in a network environment. To solve the network-induced communication problems, a novel sampled-data fuzzy controller is designed to guarantee that the closed-loop system is asymptotically stable. The stability and stabilization conditions are presented in terms of sum of squares SOS, which can be numerically solved via SOSTOOLS. Finally, a simulation example is provided to demonstrate the feasibility of the proposed method. © 2014 Wiley Periodi…

Nonlinear systemMathematical optimizationPolynomialMultidisciplinaryGeneral Computer ScienceControl theoryControl systemStability theoryExplained sum of squaresStability (learning theory)Fuzzy logicMathematicsComplexity
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Functional Analysis Method for Nonlinear Theory of Gyrotrons

2019

This paper proposes an analyzing method for the nonlinear theory of gyrotrons based on the functional analysis theory. This method is computationally efficient and highly practical, and the results have good accuracy as that of the self-consistent theory. Moreover, the stability of the gyrotron can be easily analyzed by the trajectory of the mapped efficiency space based on the fixed point of the functional analysis theory. The validity and effectiveness of the presented method are verified by the results of self-consistent theory and experiments presented in the references, such as typical examples of gyrotrons working at various frequencies and modes.

Nuclear and High Energy PhysicsFunctional analysisComputer scienceNonlinear theoryStability (learning theory)Fixed pointCondensed Matter PhysicsSpace (mathematics)Topologylaw.inventionPhysics::Plasma PhysicslawGyrotronTrajectoryIEEE Transactions on Plasma Science
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State feedback control against sensor faults for Lipschitz nonlinear systems via new sliding mode observer techniques

2011

This paper investigates the problem of simultaneous state and fault estimation and observer-based fault tolerant controller design for Lipschitz nonlinear systems with sensor failure. A new estimation technique is presented in this paper to deal with this design problem. In the proposed approaches, the original system is first augmented by a descriptor model transformation, then a new Proportional and Derivative sliding mode observer technique is developed to obtain accurate estimations of both system states and sensor faults. The designing observer is generalized from the PD observer in [3], but is not a trivial extension. Based on the state estimates, a observer-based control strategy is …

Observer (quantum physics)Control theoryTrajectoryStability (learning theory)State observerSeparation principleFault (power engineering)Sliding mode controlAlpha beta filterMathematicsIEEE Conference on Decision and Control and European Control Conference
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R&D Network Formation with Myopic and Farsighted Firms

2018

We study the formation of R&D networks when each firm benefits from the research done by other firms it is connected to. Firms can be either myopic or farsighted when deciding about the links they want to form. We propose the notion of myopic-farsighted stable set to determine the R&D networks that emerge in the long run. When the majority of firms is myopic, stability leads to R&D networks consisting of either two asymmetric components with the largest component comprises three-quarters of firms or two symmetric components of nearly equal size with the largest component having only myopic firms. But, once the majority of firms becomes farsighted, only R&D networks with two asymmetric compo…

OligopolyConstraint (information theory)Component (UML)Single componentIndependent setStability (learning theory)EconomicsEqual sizeMathematical economicsNetwork formationSSRN Electronic Journal
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Instability Resistance Training Across the Exercise Continuum

2013

Context: Instability resistance training (IRT; unstable surfaces and devices to strengthen the core or trunk muscles) is popular in fitness training facilities. Objective: To examine contradictory IRT recommendations for health enthusiasts and rehabilitation. Data Sources: A literature search was performed using MEDLINE, SPORT Discus, ScienceDirect, Web of Science, and Google Scholar databases from 1990 to 2012. Study Selection: Databases were searched using key terms, including “balance,” “stability,” “instability,” “resistance training,” “core,” “trunk,” and “functional performance.” Additionally, relevant articles were extracted from reference lists. Data Extraction: To be included, rese…

Operations researchStrength trainingbusiness.industryApplied psychologyeducationStability (learning theory)Resistance trainingMEDLINEPhysical Therapy Sports Therapy and RehabilitationContext (language use)balanceTrunkcore trainingtrunkpowerSports Physical Therapystrength trainingMedicineOrthopedics and Sports MedicineResearch questionsbusinessBalance (ability)Sports Health
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Thermal buckling optimization of composite laminates by evolution strategies

2000

Abstract Thermal buckling optimization of laminated composite plates subject to a temperature rise is presented in this paper. Aerospace structures require such components that are able to withstand the external environment loads without loss of stability. The discrete optimal design problem, formulated under strain and ply contiguity constraints is solved using evolution strategies, a guided random-search method. Two different constraint handling methods are investigated and compared: the disregarding infeasible solutions and the classical penalty function approach. The results are also compared with an exact enumerative study conducted on the problem, showing the effectiveness and perform…

Optimal designMathematical optimizationbusiness.industryComputer scienceMechanical EngineeringContiguityConstraint (computer-aided design)Composite numberStability (learning theory)Structural engineeringComposite laminatesComputer Science ApplicationsModeling and SimulationGeneral Materials SciencePenalty methodbusinessAerospaceCivil and Structural EngineeringComputers & Structures
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