Search results for "Control theory"

showing 10 items of 1333 documents

Stability and -gain controller design for positive switched systems with mixed time-varying delays

2013

This paper investigates the problems of stability and L"1-gain controller design for positive switched systems with mixed time-varying delays. The mixed time-varying delays are presented in the forms of discrete delay and distributed delay. The purpose of this paper is to design a class of switching signals and a state feedback controller for the considered system such that the resulting closed-loop system is exponentially stable with L"1-gain performance. By constructing an appropriate co-positive type Lyapunov-Krasovskii functional and using the average dwell time approach, we propose a sufficient condition to ensure the exponential stability with weighted L"1-gain performance for the sys…

Computational MathematicsDwell timeExponential stabilityBasis (linear algebra)Computer scienceControl theoryApplied MathematicsFull state feedbackEffective methodPositive systemsStability (probability)Applied Mathematics and Computation
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Stochastic analysis of dynamical systems with delayed control forces

2006

Abstract Reduction of structural vibration in actively controlled dynamical system is usually performed by means of convenient control forces dependent of the dynamic response. In this paper the existent studies will be extended to dynamical systems subjected to non-normal delta-correlated random process with delayed control forces. Taylor series expansion of the control forces has been introduced and the statistics of the dynamical response have been obtained by means of the extended Ito differential rule. Numerical application provided shows the capabilities of the proposed method to analyze stochastic dynamic systems with delayed actions under delta-correlated process contrasting statist…

Computational methods in classical mechanicNumerical AnalysisDynamical systems theoryStochastic processApplied MathematicsStochastic analysis methodsProcess (computing)General linear dynamical systemDynamical systemLinear dynamical systemsymbols.namesakeControl theoryModeling and SimulationTaylor seriessymbolsNonlinear dynamics and nonlinear dynamical systemDifferential (infinitesimal)Reduction (mathematics)MathematicsCommunications in Nonlinear Science and Numerical Simulation
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Optimal nonlinear damping control of second-order systems

2020

Novel nonlinear damping control is proposed for the second-order systems. The proportional output feedback is combined with the damping term which is quadratic to the output derivative and inverse to the set-point distance. The global stability, passivity property, and convergence time and accuracy are demonstrated. Also the control saturation case is explicitly analyzed. The suggested nonlinear damping is denoted as optimal since requiring no design additional parameters and ensuring a fast convergence, without transient overshoots for a non-saturated and one transient overshoot for a saturated control configuration.

Computer Networks and CommunicationsApplied MathematicsPassivityInverseSystems and Control (eess.SY)Electrical Engineering and Systems Science - Systems and ControlNonlinear systemVDP::Teknologi: 500Quadratic equationExponential stabilityControl and Systems EngineeringControl theorySignal ProcessingConvergence (routing)Overshoot (signal)FOS: Electrical engineering electronic engineering information engineeringTransient (oscillation)Mathematics
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Asynchronous sensor fusion of GPS, IMU and CAN-based odometry for heavy-duty vehicles

2021

[EN] In heavy-duty vehicles, multiple signals are available to estimate the vehicle's kinematics, such as Inertial Measurement Unit (IMU), Global Positioning System (GPS) and linear and angular speed readings from wheel tachometers on the internal Controller Area Network (CAN). These signals have different noise variance, bandwidth and sampling rate (being the latter, possibly, irregular). In this paper we present a non-linear sensor fusion algorithm allowing asynchronous sampling and non-causal smoothing. It is applied to achieve accuracy improvements when incorporating odometry measurements from CAN bus to standard GPS+IMU kinematic estimation, as well as the robustness against missing da…

Computer Networks and CommunicationsComputer scienceINGENIERIA MECANICAAerospace EngineeringExtended Kalman filterOdometryControl theoryInertial measurement unitRobustness (computer science)Asynchronous sampled-dataElectrical and Electronic EngineeringRauch-tung-striebel smootherSensor fusionbusiness.industrySAE J1939Models matemàticsProcessos estocàsticsVehiclesKalman filterSensor fusionExtended kalman filterINGENIERIA DE SISTEMAS Y AUTOMATICAHeavy-duty vehiclesAutomotive EngineeringGlobal Positioning SystembusinessSmoothing
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Dual-model approach for safety-critical embedded systems

2020

Abstract The paper presents the design of digital controllers based on two models: the Petri net model, and the UML state machine. These two approaches differ in many aspects of design flow, such as conceptual modelling, and analysis and synthesis. Each of these approaches can be used individually to design an efficient logic controller, and such solutions are well-known, but their interoperability can contribute to a much better understanding of logic controller design and validation. This is especially important in the case of safety- or life-critical embedded systems, and apart from this, a dual-model controller design can make up redundant system increasing its reliability.

Computer Networks and Communicationsbusiness.industryDual modelComputer scienceReliability (computer networking)020208 electrical & electronic engineeringInteroperabilityDesign flow02 engineering and technologyPetri net020202 computer hardware & architectureUML state machineArtificial IntelligenceHardware and ArchitectureControl theoryEmbedded system0202 electrical engineering electronic engineering information engineeringbusinessSoftwareMicroprocessors and Microsystems
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Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games

2016

For a networked controlled system, we illustrate the paradigm of robust mean-field games. This is a modeling framework at the interface of differential game theory, mathematical physics, and $H_{\infty}$ - optimal control that tries to capture the mutual influence between a crowd and its individuals. First, we establish a mean-field system for such games including the effects of adversarial disturbances. Second, we identify the optimal response of the individuals for a given population behavior. Third, we provide an analysis of equilibria and their stability.

Computer Science::Computer Science and Game Theory0209 industrial biotechnologyTheoretical computer scienceComputer scienceInterface (computing)PopulationStability (learning theory)02 engineering and technology01 natural sciencesAdversarial system020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryRobustness (computer science)Differential game0101 mathematicsElectrical and Electronic Engineeringcrowd-averse cyber-physical systems robust mean-field games paradigm networked control system differential game theory mathematical physics H∞-optimal control mean-field system adversarial disturbance effecteducationeducation.field_of_studyCyber-physical systemOptimal controlComputer Science Applications010101 applied mathematicsControl and Systems EngineeringSettore MAT/09 - Ricerca OperativaIEEE Transactions on Automatic Control
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Continuous Monitoring of Parasitic Elements in Boost Converter Circuit

2021

The given paper explains the necessity of condition monitoring for DC/DC boost converter circuit. Further, an analytical model of circuit parasitic estimation is presented based on measured quantities in the circuit. The implementation of continuous estimation of circuit parasitic elements is analytically explained and verified by simulations and experimental results. Obtained results are acceptable for condition monitoring.

Computer Science::Hardware ArchitectureComputer Science::Emerging TechnologiesComputer scienceControl theoryContinuous monitoringBoost converterHardware_INTEGRATEDCIRCUITSCondition monitoringHardware_PERFORMANCEANDRELIABILITYMinificationMultiplexing2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia)
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Lazy consensus for networks with unknown but bounded disturbances

2007

We consider stationary consensus protocols for networks of dynamic agents. The measure of the neighbors' state is affected by Unknown But Bounded disturbances. Here the main contribution is the formulation and solution of what we call the isin-consensus problem, where the states are required to converge in a tube of ray isin asymptotically or in finite time.

Computer Science::Multiagent SystemsDynamic agentsLazy consensusComputer scienceControl theoryMulti-agent systemBounded functionDynamic agents; Lazy consensus; Stationary consensus protocolsState (functional analysis)Stationary consensus protocolsTopologyMeasure (mathematics)Uniform consensus2007 46th IEEE Conference on Decision and Control
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Kinematic calibration method for a 5-DOF Gantry-Tau parallel kinematic machine

2013

In this paper a new step-wise approach to kinematic calibration of a 5-DOF Gantry-Tau parallel kinematic machine (PKM) is presented. The approach can be adapted to the modular design of the PKM and the calibration could easily perform part of the assembly instructions for the machine. By using measurements from a laser tracker and least-squares estimates of polynomial functions, a typical accuracy of about 20 micrometer was achieved for the base actuators. The remaining set of 30 general parameters for the hexapod link structure and spherical joint connections were successfully estimated using the Complex search-based evolutionary algorithm.

Computer Science::RoboticsHexapodRobot kinematicsRobot calibrationInverse kinematicsControl theoryCalibration (statistics)Laser trackerKinematic diagramComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONKinematicsMathematics2013 IEEE International Conference on Robotics and Automation
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Rolling, Pitching and Yawing of a Superconducting Maglev Vehicle

1995

The dynamic characteristics of a Maglev vehicle are influenced by both the translational and the rotational degrees of freedom. As a result, the rolling, pitching and yawing motion modes must be included in a complete description of the dynamic features of a Maglev vehicle. Furthermore, the analysis of this motion modes is also very useful in order to obtain the highest achievable riding comfort.

Computer Science::RoboticsSuperconductivityPhysicsControl theoryMaglevMotion (geometry)Rotational degrees of freedom
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