Search results for "YAP"

showing 10 items of 268 documents

Sampled-Data Control of Spacecraft Rendezvous with Discontinuous Lyapunov Approach

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/814271 Open Access This paper investigates the sampled-data stabilization problem of spacecraft relative positional holding with improved Lyapunov function approach. The classical Clohessy-Wiltshire equation is adopted to describe the relative dynamic model. The relative position holding problem is converted into an output tracking control problem using sampling signals. A time-dependent discontinuous Lyapunov functionals approach is developed, which will lead to essentially less conservative results for the stability analysis and control…

Lyapunov functionSpacecraftArticle Subjectbusiness.industryGeneral Mathematicslcsh:MathematicsGeneral EngineeringSampling (statistics)lcsh:QA1-939Stability (probability)symbols.namesakeExponential stabilityControl theoryPosition (vector)lcsh:TA1-2040symbolsLyapunov equationVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413businesslcsh:Engineering (General). Civil engineering (General)MathematicsMathematical Problems in Engineering
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A generalized Degn–Harrison reaction–diffusion system: Asymptotic stability and non-existence results

2021

Abstract In this paper we study the Degn–Harrison system with a generalized reaction term. Once proved the global existence and boundedness of a unique solution, we address the asymptotic behavior of the system. The conditions for the global asymptotic stability of the steady state solution are derived using the appropriate techniques based on the eigen-analysis, the Poincare–Bendixson theorem and the direct Lyapunov method. Numerical simulations are also shown to corroborate the asymptotic stability predictions. Moreover, we determine the constraints on the size of the reactor and the diffusion coefficient such that the system does not admit non-constant positive steady state solutions.

Lyapunov functionSteady state (electronics)Asymptotic stability Existence of solutions Generalized Degn–Harrison system Non-constant steady state solutions Steady statesApplied Mathematics010102 general mathematicsGeneral EngineeringGeneral Medicine01 natural sciencesTerm (time)010101 applied mathematicsComputational Mathematicssymbols.namesakeExponential stabilityReaction–diffusion systemsymbolsApplied mathematics0101 mathematicsDiffusion (business)General Economics Econometrics and FinanceSettore MAT/07 - Fisica MatematicaAnalysisMathematics
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Design of unknown inputs proportional integral observers for TS fuzzy models

2014

In this paper the design of unknown inputs proportional integral observers for Takagi-Sugeno (TS) fuzzy models subject to unmeasurable decision variables is proposed. These unknown inputs affect both state and output of the system. The synthesis of these observers is based on two hypotheses that the unknown inputs are under the polynomials form with their kth derivatives zero for the first one and bounded norm for the second one, hence two approaches. The Lyapunov theory and L"2-gain technique are used to develop the stability conditions of such observers in LMIs (linear matrix inequality) formulation. A simulation example is given to validate and compare the proposed design conditions for …

Lyapunov functionUnknown inputs reconstructionCognitive NeuroscienceLinear matrix inequalityComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy logicComputer Science ApplicationsStability conditionssymbols.namesakeDecision variablesComputer Science::Systems and ControlArtificial IntelligenceControl theoryBounded functionNorm (mathematics)Unmeasurable decision variablessymbolsTS fuzzy modelsProportional integral observer; TS fuzzy models; Unknown inputs reconstruction; Unmeasurable decision variables; Artificial Intelligence; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive NeuroscienceProportional integral observerMathematicsNeurocomputing
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FPGA Implementation Of Diffusive Realization For A Distributed Control Operator

2010

International audience; We focus on the question of real-time computation for optimal distributed filtering or control applicable to MEMS Arrays. We present an algorithm for the realization of a linear operator solution to a functional equation through its application to a Lyapunov operatorial equation associated to the heat equation in one dimension. It is based on the diffusive realization, and turns to be well suited for fined grained parallel computer architecture as Field Programmable Gate Arrays (FPGA). An effective FPGA implementation has been successfully carried out. Here, we report the main implementation steps and the final measured performances.

Lyapunov function[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceComputation[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]010103 numerical & computational mathematics02 engineering and technology01 natural sciencesComputational sciencesymbols.namesakeComputer Science::Hardware Architecture[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Operator (computer programming)[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Functional equation[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]0202 electrical engineering electronic engineering information engineeringElectronic engineering0101 mathematicsField-programmable gate array[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]020208 electrical & electronic engineeringOptimal control[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationsymbolsHeat equation[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Realization (systems)
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Input-Output Feedback Linearization Control with On-Line Inductances Estimation of Synchronous Reluctance Motors

2021

This paper proposes an adaptive input-output Feedback Linearization (FL) techniques for Synchronous Reluctance Motor (SynRM) drives, taking into consideration the iron losses. As a main original content, this work proposes a control law based on a new dynamic model of the SynRM including iron losses as well as the on-line estimation of the static inductances. The on-line estimation of the SynRM static inductances permits to inherently take into consideration the magnetic saturation phenomena occuring on both axes. The estimation law is obtained thanks to a Lyapunov-based analysis and thus the stability of the entire control system, including the estimation algorithm, is intrinsically guaran…

Lyapunov functionfeedback linearizationSynchronous reluctance motorMagnetic reluctanceComputer scienceStability (learning theory)Nonlinear systemsymbols.namesakeinductances estimationSettore ING-INF/04 - AutomaticaControl theoryControl systemLine (geometry)symbolsA priori and a posterioriFeedback linearizationAdaptive system
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Novel Stability Criteria for T--S Fuzzy Systems

2014

In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The so-called nonquadratic membership-dependent Lyapunov function is first proposed, which is formulated in a higher order form of both the system states and the normalized membership functions than existing techniques in the literature. Then, new membership-dependent stability conditions are developed by the new Lyapunov function approach. It is shown that the conservativeness of the obtained criteria can be further reduced as the degree of the Lyapunov function increases. Two numerical examples are given to demonstrate the effectiveness and less conservativeness of the obtained theoretical resul…

Lyapunov functionpolynomialsFuzzy setStability (learning theory)Lyapunov function; membership-dependent; stability; Takagi-Sugeno (T-S) fuzzy system; Control and Systems Engineering; Computational Theory and Mathematics; Artificial Intelligence; Applied Mathematicssymbols.namesakevectorsTakagi-Sugeno (T-S) fuzzy systemComputer Science::Systems and ControlArtificial IntelligenceControl theoryLyapunov equationLyapunov redesignLyapunov methodsMathematicsLyapunov functionDegree (graph theory)membership-dependentstability criteriaApplied Mathematicseducational institutionsFuzzy control systemstabilityStability conditionsComputational Theory and MathematicsControl and Systems Engineeringfuzzy systemssymbolsIEEE Transactions on Fuzzy Systems
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Lyapunov Functions for Second-Order Differential Inclusions: A Viability Approach

2001

AbstractIn this paper the existence of Lyapunov functions for second-order differential inclusions is analyzed by using the methodology of the Viability Theory. A necessary assumption on the initial states and sufficient conditions for the existence of local and global Lyapunov functions are obtained. An application is also provided.

Lyapunov functionsecond orderViability theoryApplied MathematicsMathematical analysisOrder (ring theory)Lyapunov exponentExponential functionsymbols.namesakeDifferential inclusiondifferential inclusionssymbolsLyapunov equationviability theoryExponential decayAnalysisMathematicsLyapunov functionsJournal of Mathematical Analysis and Applications
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On integral input-to-state stability for a feedback interconnection of parameterised discrete-time systems

2014

This paper addresses integral input-to-state stability iISS for a feedback interconnection of parameterised discrete-time systems involving two subsystems. Particularly, we give a construction for a smooth iISS Lyapunov function for the whole system from the sum of nonlinearly weighted Lyapunov functions of individual subsystems. Motivations for such a construction are given. We consider two main cases. The first one investigates iISS for the whole system when both subsystems are iISS. The second one gives iISS for the interconnected system when one of subsystems is allowed to be input-to-state stable. The approach is also valid for both discrete-time cascades and a feedback interconnection…

Lyapunov functionsmall-gain conditions0209 industrial biotechnologyInterconnectionStability (learning theory)Computer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyState (functional analysis)Computer Science ApplicationsWhole systems0-global asymptotic stabilityTheoretical Computer Scienceinput-to-state stabilitysymbols.namesakeparameterised discrete-time systems020901 industrial engineering & automationDiscrete time and continuous timeControl theoryControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processing0-global asymptotic stability; input-to-state stability; integral input-to-state stability; parameterised discrete-time systems; small-gain conditions; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognitionintegral input-to-state stabilityMathematics
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Integral Input-to-State Stability for Interconnected Discrete-Time Systems

2014

Abstract In this paper, we investigate integral input-to-state stability for interconnected discrete-time systems. The system under consideration contains two subsystems which are connected in a feedback structure. We construct a Lyapunov function for the whole system through the nonlinearly-weighted sum of Lyapunov functions of individual subsystems. We consider two cases in which we assume that one of subsystems is integral input-to-state stable and the other is either input-to-state stable or only integral input-to-state stable.

Lyapunov functionsymbols.namesakeDiscrete time and continuous timeControl and Systems EngineeringControl theoryStructure (category theory)symbolsState (functional analysis)Stability (probability)Whole systemsMathematicsIFAC Proceedings Volumes
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An LMI Approach to Exponential Stock Level Estimation for Large-Scale Logistics Networks

2013

This article aims to present a convex optimization approach for exponential stock level estimation problem of large-scale logistics networks. The model under consideration presents the dependency and interconnections between the dynamics of each single location. Using a Lyapunov function, new sufficient conditions for exponential estimation of the networks are driven in terms of linear matrix inequalities (LMIs). The explicit expression of the observer gain is parameterized based on the solvability conditions. A numerical example is included to illustrate the applicability of the proposed design method.

Lyapunov functionsymbols.namesakeMathematical optimizationActuarial scienceDependency (UML)Scale (ratio)Observer (quantum physics)Convex optimizationsymbolsParameterized complexityBusinessExpression (mathematics)Exponential function
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