Search results for "Stochastic system"

showing 7 items of 17 documents

Network-based H∞ output feedback control for uncertain stochastic systems

2013

This paper investigates the problem of network-based Floc, output feedback control for a class of stochastic nonlinear systems. A novel model is proposed to describe the systems taken into two sides of communication channels in the network environment, which is more general than one side of communication channel. The design procedure of observer-based controller is presented, which, guarantees the asymptotic stability in the mean square of the resulting closed-loop system with an H-infinity performance. Finally, a crane example is utilized to show the effectiveness and potential of the developed techniques. Refereed/Peer-reviewed

Information Systems and ManagementObserver (quantum physics)Computer scienceControl (management)observer-based controllerClass (philosophy)Networked control systemstochastic systemSeparation principleComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theorynetworked control systemSoftwareInformation Sciences
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Design on fuzzy control for a class of stochastic nonlinear systems

2014

The problem of Hankel-norm output feedback control is solved for a class of T-S fuzzy stochastic systems. The dynamic output feedback controller design technique is proposed by employing fuzzy-basis-dependent Lyapunov function approach and the conversion on the Hankel-norm controller parameters. Sufficient conditions are established to design the controllers such that the resulting closed-loop system is stochastically stable and satisfies a prescribed performance. The desired output feedback controller can be obtained by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms Refereed/Peer-reviewed

Lyapunov functionOutput feedbackStochastic stabilityClass (computer programming)Mathematical optimizationLMIsStochastic systemsFuzzy control systemFuzzy systemssymbols.namesakeNonlinear systemControl theoryFuzzy systems; LMIs; Stochastic systems; Electrical and Electronic EngineeringConvex optimizationsymbolsElectrical and Electronic EngineeringMathematics
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Constructing transient response probability density of non-linear system through complex fractional moments

2014

Abstract The probability density function for transient response of non-linear stochastic system is investigated through the stochastic averaging and Mellin transform. The stochastic averaging based on the generalized harmonic functions is adopted to reduce the system dimension and derive the one-dimensional Ito stochastic differential equation with respect to amplitude response. To solve the Fokker–Plank–Kolmogorov equation governing the amplitude response probability density, the Mellin transform is first implemented to obtain the differential relation of complex fractional moments. Combining the expansion form of transient probability density with respect to complex fractional moments an…

Mellin transformLaplace transformApplied MathematicsMechanical EngineeringMathematical analysisProbability density functionComplex fractional momentStochastic differential equationNonlinear systemTransient responseMellin transform.Mechanics of MaterialsOrdinary differential equationProbability density functionStochastic averagingMellin inversion theoremTwo-sided Laplace transformNon-linear stochastic systemMathematics
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Evaluating a hierarchical approach to landscape level harvest scheduling

2018

Forest planning at the landscape level has the potential to become a large intractable problem. In Finland, Metsähallitus (the state enterprise that manages federally owned land) creates strategic plans to determine the appropriate harvest level. While these plans are feasible, they are not implementable in practice as the harvests are scattered temporally and spatially. Requiring that harvests be organized both temporally and spatially for practical implementation can result in an intractable problem. Through a hierarchical approach, the problem can be organized into steps in which the intractable problem is broken down into smaller easily solvable parts. As an approximation technique, the…

OptimizationpuunkorjuuStochastic systemslandscape-level planningIterative methodshierarchical planningtactical planningpäätöksentekoStochastic programmingmetsätalousiterointiStrategic planningstrateginen suunnitteluHarvestingmaisemasuunnitteluDecision makingstokastiset prosessit
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Dynamical Ising-like model for the two-step spin-crossover systems

2003

In order to reproduce the two-step relaxation observed experimentally in spin-crossover systems, we investigate analytically the static and the dynamic properties of a two-sublattice Ising-like Hamiltonian. The formalism is based on a stochastic master equation approach. It is solved in the mean-field approximation, and yields two coupled differential equations that correspond to the HS fractions of the sublattices A and B. Virginie.Niel@uv.es ; Jose.A.Real@uv.es

PhysicsDifferential equationsIsing model ; Magnetic transitions ; Magnetic relaxation ; Master equation ; Stochastic systems ; Differential equations ; Spin HamiltoniansMagnetic transitionsSpin HamiltoniansStochastic systemsDifferential equationTwo stepUNESCO::FÍSICAGeneral Physics and AstronomyCoupled differential equationssymbols.namesakeFormalism (philosophy of mathematics)Spin crossover:FÍSICA [UNESCO]Master equationIsing modelsymbolsIsing modelStatistical physicsMaster equationHamiltonian (quantum mechanics)Magnetic relaxation
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Resonance phenomena in a nonlinear neuronal circuit

2015

International audience; We characterizes a nonlinear circuit driven by a bichromatic excitation,that is the sum of two sinusoidal waves with different frequencies f1 and f2 suchthat f2 > f1. Our experiments are confirmed by a numerical analysis of the systemresponse obtained by solving numerically the differential equations which rule thecircuit voltages. Especially, we highlight that the response of the system at the lowfrequency can be optimized by the amplitude of the high frequency. By revisiting thiswell known vibrational resonance effect in the whole amplitude frequency parametricplane, we show experimentally and numerically that a much better resonance can beachieved when the two fre…

Vibrational Resonance[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Ghost Stochastic ResonanceNonlinear electronic circuits[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Nonlinear Stochastic systems[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics
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Stability of stochastic nonlinear systems with state-dependent switching

2013

In this paper, the problem of stability on stochastic systems with state-dependent switching is investigated. To analyze properties of the switched system by means of Itô’s formula and Dynkin’s formula, it is critical to show switching instants being stopping times. When the given active-region set can be replaced by its interior, the local solution of the switched system is constructed by defining a series of stopping times as switching instants, and the criteria on global existence and stability of solution are presented by Lyapunov approach. For the case where the active-region set can not be replaced by its interior, the switched systems do not necessarily have solutions, thereby quasi-…

stochastic systemsStability (learning theory)Mathematical proofnonlinear control systemsSet (abstract data type)State-dependent switching; Stochastic systems; Switched systems; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringExponential stabilityControl theoryElectrical and Electronic EngineeringSwitched systemsMathematicsLyapunov methodsStochastic systemsSeries (mathematics)Stochastic processApplied MathematicsComputer Science Applications1707 Computer Vision and Pattern Recognitionstate-dependent switchingstabilityComputer Science ApplicationsNonlinear systemControl and Systems EngineeringState dependentswitched systemscontrol system synthesisState-dependent switching
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