Search results for "Systems Engineering"

showing 10 items of 1230 documents

Robust control of continuous-time systems with state-dependent uncertainties and its application to electronic circuits

2014

In this paper, the problems of robust stability and stabilization are investigated for a class of continuous-time uncertain systems. The uncertainties in the model are state-dependent and belong to a polytopic convex set, as can be found in many electronic circuits and some other applications. The global asymptotic stability conditions for such systems are first established by the classic common quadratic Lyapunov function approach. To reduce conservativeness, a particular class of nonquadratic parameter-dependent Lyapunov functions is introduced, by which improved robust stability conditions for the underlying systems are also derived. Based on the stability criteria, a static output feedb…

Lyapunov functionMathematical optimizationConvex setStability (learning theory)robust stabilitysymbols.namesakevectorsExponential stabilityControl theoryElectronic circuitsElectrical and Electronic EngineeringuncertaintyLyapunov methodsMathematicsLyapunov functionsComputer Science Applications1707 Computer Vision and Pattern RecognitionStability conditionsuncertain systemsControl and Systems Engineeringsymbolselectronic circuitsElectronic circuits; Lyapunov functions; polytopic uncertainties; robust stability; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringRobust controlrobust controlNetwork analysispolytopic uncertainties
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Non-linear protocols for optimal distributed consensus in networks of dynamic agents

2006

We consider stationary consensus protocols for networks of dynamic agents with fixed topologies. At each time instant, each agent knows only its and its neighbors'' state, but must reach consensus on a group decision value that is function of all the agents'' initial state. We show that the agents can reach consensus if the value of such a function is time-invariant when computed over the agents'' state trajectories. We use this basic result to introduce a non-linear protocol design rule allowing consensus on a quite general set of values. Such a set includes, e.g., any generalized mean of order p of the agents'' initial states. As a second contribution we show that our protocol design is t…

Lyapunov functionMathematical optimizationDecentralized controlGeneral Computer ScienceConsensus protocols; Decentralized control; Networks; Optimal controlUniform consensussymbols.namesakeConsensusComputer Science::Systems and ControlElectrical and Electronic EngineeringMathematicsMechanism designSupervisorbusiness.industryMechanical EngineeringRational agentDecentralised systemOptimal controlComputer Science::Multiagent SystemsConsensus protocolsControl and Systems EngineeringsymbolsArtificial intelligenceSettore MAT/09 - Ricerca OperativaNetworksbusinessGame theorySystems & Control Letters
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Finite-time Lyapunov dimension and hidden attractor of the Rabinovich system

2015

The Rabinovich system, describing the process of interaction between waves in plasma, is considered. It is shown that the Rabinovich system can exhibit a {hidden attractor} in the case of multistability as well as a classical {self-excited attractor}. The hidden attractor in this system can be localized by analytical-numerical methods based on the {continuation} and {perpetual points}. For numerical study of the attractors' dimension the concept of {finite-time Lyapunov dimension} is developed. A conjecture on the Lyapunov dimension of self-excited attractors and the notion of {exact Lyapunov dimension} are discussed. A comparative survey on the computation of the finite-time Lyapunov expon…

Lyapunov functionMathematics::Dynamical SystemsChaoticAerospace EngineeringFOS: Physical sciencesOcean EngineeringLyapunov exponent01 natural sciences010305 fluids & plasmasadaptive algorithmssymbols.namesakehidden attractorsDimension (vector space)0103 physical sciencesAttractorApplied mathematicsElectrical and Electronic Engineering010301 acousticsMultistabilityMathematicsAdaptive algorithmApplied MathematicsMechanical EngineeringNumerical analysisNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsControl and Systems EngineeringLyapunov dimensionsymbolsperpetual pointsChaotic Dynamics (nlin.CD)finite-time Lyapunov exponents
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Invariance of Lyapunov exponents and Lyapunov dimension for regular and irregular linearizations

2014

Nowadays the Lyapunov exponents and Lyapunov dimension have become so widespread and common that they are often used without references to the rigorous definitions or pioneering works. It may lead to a confusion since there are at least two well-known definitions, which are used in computations: the upper bounds of the exponential growth rate of the norms of linearized system solutions (Lyapunov characteristic exponents, LCEs) and the upper bounds of the exponential growth rate of the singular values of the fundamental matrix of linearized system (Lyapunov exponents, LEs). In this work the relation between Lyapunov exponents and Lyapunov characteristic exponents is discussed. The invariance…

Lyapunov functionMathematics::Dynamical SystemsComputationFOS: Physical sciencesAerospace EngineeringOcean EngineeringDynamical Systems (math.DS)Lyapunov exponent01 natural sciencessymbols.namesakeExponential growthComputer Science::Systems and Control0103 physical sciencesFOS: MathematicsApplied mathematics0101 mathematicsElectrical and Electronic EngineeringMathematics - Dynamical Systems010301 acousticsMathematicsApplied MathematicsMechanical Engineering010102 general mathematicsNonlinear Sciences - Chaotic DynamicsNonlinear Sciences::Chaotic DynamicsSingular valueFundamental matrix (linear differential equation)Control and Systems EngineeringsymbolsDiffeomorphismChaotic Dynamics (nlin.CD)Characteristic exponent
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Adaptive predictor control for stabilizing pressure in a managed pressure drilling system under time-delay

2016

Abstract In this paper, we address adaptive predictor feedback design for a simplified ODE drilling system in the presence of unknown parameter, disturbance and time-delay. The main objective is to stabilize the bottomhole pressure at a critical depth at a desired set-point directly. The time-delay in the transmission line of the drilling systems is considered. The stabilization of the dynamic system and the asymptotic tracking are demonstrated by the proposed predictor control, where the adaptation employs Lyapunov update law design with normalization. The proposed method is evaluated using a high fidelity drilling simulator and cases from a North Sea drilling operation are simulated. The …

Lyapunov functionNormalization (statistics)0209 industrial biotechnologyEngineeringAdaptive controlbusiness.industryOde0102 computer and information sciences02 engineering and technologyTracking (particle physics)01 natural sciencesIndustrial and Manufacturing EngineeringComputer Science ApplicationsCompensation (engineering)symbols.namesake020901 industrial engineering & automation010201 computation theory & mathematicsControl and Systems EngineeringTransmission lineControl theoryModeling and SimulationsymbolsbusinessSimulationJournal of Process Control
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Adaptive Neural Stabilizing Controller for a Class of Mismatched Uncertain Nonlinear Systems by State and Output Feedback

2015

In this paper, first, an adaptive neural network (NN) state-feedback controller for a class of nonlinear systems with mismatched uncertainties is proposed. By using a radial basis function NN (RBFNN), a bound of unknown nonlinear functions is approximated so that no information about the upper bound of mismatched uncertainties is required. Then, an observer-based adaptive controller based on RBFNN is designed to stabilize uncertain nonlinear systems with immeasurable states. The state-feedback and observer-based controllers are based on Lyapunov and strictly positive real-Lyapunov stability theory, respectively, and it is shown that the asymptotic convergence of the closed-loop system to ze…

Lyapunov functionObserver (quantum physics)Computer Simulation; Feedback; Neural Networks (Computer); Nonlinear Dynamics; Control and Systems Engineering; Software; Information Systems; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionNeural Networks (Computer)Nonlinear controlUpper and lower boundsFeedbackComputer Science ApplicationsHuman-Computer InteractionNonlinear systemsymbols.namesakeNonlinear DynamicsControl and Systems EngineeringControl theoryAdaptive systemStability theorysymbolsComputer SimulationNeural Networks ComputerElectrical and Electronic EngineeringSoftwareInformation SystemsMathematicsIEEE Transactions on Cybernetics
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Global stability of coupled Markovian switching reaction–diffusion systems on networks

2014

Abstract In this paper, we investigate the stability problem for some Markovian switching reaction–diffusion coupled systems on networks (MSRDCSNs). By using the Lyapunov function, we establish some novel stability principles for stochastic stability, asymptotically stochastic stability, globally asymptotically stochastic stability and almost surely exponential stability of the MSRDCSNs. These stability principles have a close relation to the topology property of the network. We also provide a systematic method for constructing global Lyapunov function for these MSRDCSNs by using graph theory. The new method can help analyze the dynamics of complex networks.

Lyapunov functionRelation (database)Computer Science Applications1707 Computer Vision and Pattern RecognitionTopology (electrical circuits)Graph theoryStochastic coupled systemsComplex networkStability (probability)Computer Science Applicationssymbols.namesakeControl and Systems EngineeringControl theoryReaction–diffusion systemNetworks; Reaction-diffusion; Stability; Stochastic coupled systems; Control and Systems Engineering; Analysis; Computer Science Applications1707 Computer Vision and Pattern RecognitionsymbolsApplied mathematicsNetworksReaction-diffusionMarkovian switchingStabilityAnalysisMathematicsNonlinear Analysis: Hybrid Systems
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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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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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