Search results for "Computer Science Application"

showing 10 items of 3998 documents

Semiglobal practical integral input-to-state stability for a family of parameterized discrete-time interconnected systems with application to sampled…

2015

Abstract Semiglobal practical integral input-to-state stability (SP-iISS) for a feedback interconnection of two discrete-time subsystems is given. We construct a Lyapunov function from the sum of nonlinearly-weighted Lyapunov functions of individual subsystems. In particular, we consider two main cases. The former gives SP-iISS for the interconnected system when both subsystems are semiglobally practically integral input-to-state stable. The latter investigates SP-iISS for the overall system when one of subsystems is allowed to be semiglobally practically input-to-state stable. Moreover, SP-iISS for discrete-time cascades and a feedback interconnection including a semiglobally practically i…

Lyapunov functionController designInterconnectionParameterized complexityState (functional analysis)Stability (probability)Computer Science Applicationssymbols.namesakeDiscrete time and continuous timeControl and Systems EngineeringControl theoryData controlsymbolsAnalysisMathematicsNonlinear Analysis: Hybrid Systems
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Finite-time boundedness for uncertain discrete neural networks with time-delays and Markovian jumps

2014

This paper is concerned with stochastic finite-time boundedness analysis for a class of uncertain discrete-time neural networks with Markovian jump parameters and time-delays. The concepts of stochastic finite-time stability and stochastic finite-time boundedness are first given for neural networks. Then, applying the Lyapunov approach and the linear matrix inequality technique, sufficient criteria on stochastic finite-time boundedness are provided for the class of nominal or uncertain discrete-time neural networks with Markovian jump parameters and time-delays. It is shown that the derived conditions are characterized in terms of the solution to these linear matrix inequalities. Finally, n…

Lyapunov functionDiscrete-time systems; Linear matrix inequalities; Markovian jump systems; Neural networks; Stochastic finite-time boundedness; Artificial Intelligence; Computer Science Applications1707 Computer Vision and Pattern Recognition; Cognitive NeuroscienceArtificial neural networkMarkov chainStochastic processCognitive NeuroscienceMarkovian jump systemsLinear matrix inequalitiesLinear matrix inequalityComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science Applicationssymbols.namesakeDiscrete time and continuous timeArtificial IntelligenceDiscrete-time systemssymbolsCalculusApplied mathematicsStochastic neural networkJump processNeural networksStochastic finite-time boundednessMathematics
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-Infinity robust controller design for the synchronization of master-slave chaotic systems with disturbance input

2012

Published version of an article from the journal: Modeling, Identification and Control. Also available from the publisher: http://dx.doi.org/10.4173/mic.2012.1.3 This paper is concerned with the robust control problems for the synchronization of master-slave chaotic systems with disturbance input. By constructing a series of Lyapunov functions, novel H1 robust syn- chronization controllers are designed, whose control regulation possess the characteristic of simpleness and explicitness. Finally, numerical simulations are provided to demonstrate the e ectiveness of the proposed techniques.

Lyapunov functionDisturbance (geology)Series (mathematics)Computer scienceVDP::Technology: 500::Mechanical engineering: 570Robust controlMaster/slavelcsh:QA75.5-76.95Computer Science Applicationssymbols.namesakeH-infinity methods in control theoryControl and Systems EngineeringControl theoryChaotic systemsModeling and SimulationSynchronization (computer science)symbolsChaoslcsh:Electronic computers. Computer scienceRobust controlSoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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Output-feedback-based H∞ control for vehicle suspension systems with control delay

2014

This paper deals with the problem of output-feedback H∞ control for a class of active quarter-car suspension systems with control delay. The dynamic system of the suspension systems is first formed in terms of the control objectives, i.e., ride comfort, road holding, suspension deflection, and maximum actuator control force. Then, the objective is to the design of the dynamic output-feedback H∞ controller in order to ensure asymptotic stability of the closed-loop system with H∞ disturbance attenuation level and the output constraints. Furthermore, using Lyapunov theory and linear matrix inequality (LMI) approach, the existence of admissible controllers is formulated in terms of LMIs. With t…

Lyapunov functionEngineeringActive suspension systembusiness.industryActive suspension system; Actuator delay; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringAttenuationLinear matrix inequalityControl engineeringComputer Science Applications1707 Computer Vision and Pattern Recognitionsymbols.namesakeExponential stabilityControl delayControl theoryDeflection (engineering)Control and Systems EngineeringsymbolsActuator delayElectrical and Electronic EngineeringSuspension (vehicle)Actuatorbusiness
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Disturbance tolerance and rejection of discrete switched systems with time-varying delay and saturating actuator

2015

Abstract This paper is concerned with the problems of disturbance tolerance and rejection of discrete switched systems with time-varying delay and saturating actuator. Using the switched Lyapunov function approach, a sufficient condition for the existence of a state feedback controller is proposed such that the disturbance tolerance capability of the closed-loop system is ensured. By solving a convex optimization problem with linear matrix inequality (LMI) constraints, the maximal disturbance tolerance is estimated. In addition, the problem of disturbance rejection of the closed-loop system is solved. Two examples are given to illustrate the effectiveness of the proposed method.

Lyapunov functionEngineeringDisturbance (geology)business.industryLinear matrix inequalityComputer Science Applicationssymbols.namesakeControl and Systems EngineeringControl theoryFull state feedbackConvex optimizationsymbolsActuatorbusinessAnalysisNonlinear Analysis: Hybrid Systems
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An LMI approach to vibration control of base-isolated building structures with delayed measurements

2010

In this article, we address a convex optimisation approach to the problem of state-feedback H∞ control design for vibration reduction of base-isolated building structures with delayed measurements, where the delays are time-varying and bounded. An appropriate Lyapunov-Krasovskii functional and some free-weighting matrices are utilised to establish some delay-range-dependent sufficient conditions for the design of desired controllers in terms of linear matrix inequalities. The controller, which guarantees asymptotic stability and an H∞ performance, simultaneously, for the closed-loop system of the structure, is then developed. The performance of the controller is evaluated by means of simula…

Lyapunov functionEngineeringbusiness.industryVibration controlLinear matrix inequalityControl engineeringComputer Science ApplicationsTheoretical Computer Sciencesymbols.namesakeH-infinity methods in control theoryVibration isolationExponential stabilityControl and Systems EngineeringControl theorysymbolsbusinessReduction (mathematics)International Journal of Systems Science
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Numerical analysis of dynamical systems: unstable periodic orbits, hidden transient chaotic sets, hidden attractors, and finite-time Lyapunov dimensi…

2018

In this article, on the example of the known low-order dynamical models, namely Lorenz, Rossler and Vallis systems, the difficulties of reliable numerical analysis of chaotic dynamical systems are discussed. For the Lorenz system, the problems of existence of hidden chaotic attractors and hidden transient chaotic sets and their numerical investigation are considered. The problems of the numerical characterization of a chaotic attractor by calculating finite-time time Lyapunov exponents and finite-time Lyapunov dimension along one trajectory are demonstrated using the example of computing unstable periodic orbits in the Rossler system. Using the example of the Vallis system describing the El…

Lyapunov functionHistoryMathematics::Dynamical SystemsDynamical systems theoryNumerical analysisChaoticFOS: Physical sciencesLyapunov exponentLorenz systemNonlinear Sciences - Chaotic DynamicsComputer Science ApplicationsEducationNonlinear Sciences::Chaotic Dynamicssymbols.namesakeAttractorsymbolsTrajectoryApplied mathematicsChaotic Dynamics (nlin.CD)Mathematics
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A Lyapunov–Razumikhin approach for stability analysis of logistics networks with time-delays

2012

Logistics network represents a complex system where different elements that are logistic locations interact with each other. This interaction contains delays caused by time needed for delivery of the material. Complexity of the system, time-delays and perturbations in a customer demand may cause unstable behaviour of the network. This leads to the loss of the customers and high inventory costs. Thus the investigation of the network on stability is desired during its design. In this article we consider local input-to-state stability of such logistics networks. Their behaviour is described by a functional differential equation with a constant time-delay. We are looking for verifiable conditio…

Lyapunov functionInterconnectionMathematical optimizationTime delaysComplex systemStability (learning theory)Computer Science ApplicationsTheoretical Computer Sciencesymbols.namesakeStability conditionsControl and Systems EngineeringControl theorysymbolsVerifiable secret sharingConstant (mathematics)MathematicsInternational Journal of Systems Science
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A new fuzzy robust dynamic controller for autonomous vehicles with nonholonomic constraints

2005

Abstract In this paper a novel algorithm with a dynamic fuzzy controller applied to the control of trajectory of vehicles with two independent wheels is proposed. An automatic control of trajectory of a vehicle can behave in a not efficient way. It is necessary to consider the friction of the actuators and possible perturbations coming from the outside environment, as for instance the variable characteristics of the ground where the vehicle moves. These perturbations, which depend also on the contact between the wheel and the ground, involve violations of nonholonomic constraints. Thus it is necessary to compensate for these perturbations to obtain a robust control system. The controller sy…

Lyapunov functionMathematical optimizationAdaptive controlAutomatic controlComputer scienceGeneral MathematicsFuzzy logicComputer Science::Roboticssymbols.namesakeExponential stabilityControl theoryNonholonomic systemAdaptive neuro fuzzy inference systembackstepping controlautonomous vehicleFuzzy control systemComputer Science Applicationsnonholonomic systemFuzzy controllerControl and Systems EngineeringBacksteppingsymbolsTrajectoryRobust controlActuatorrobust controlSoftwareRobotics and Autonomous Systems
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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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