Search results for " CONTROL"

showing 10 items of 7691 documents

Partial Stabilization of Input-Output Contact Systems on a Legendre Submanifold

2017

This technical note addresses the structure preserving stabilization by output feedback of conservative input-output contact systems, a class of input-output Hamiltonian systems defined on contact manifolds. In the first instance, achievable contact forms in closed-loop and the associated Legendre submanifolds are analysed. In the second instance the stability properties of a hyperbolic equilibrium point of a strict contact vector field are analysed and it is shown that the stable and unstable manifolds are Legendre submanifolds. In the third instance the consequences for the design of stable structure preserving output feedback are derived: in closed-loop one may achieve stability only rel…

0209 industrial biotechnology02 engineering and technologyTopology01 natural sciences010305 fluids & plasmaslaw.inventionHamiltonian system[SPI.AUTO]Engineering Sciences [physics]/Automatic020901 industrial engineering & automation[CHIM.GENI]Chemical Sciences/Chemical engineeringlaw[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering0103 physical sciencesEntropy (information theory)[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringElectrical and Electronic EngineeringLegendre polynomialsComputingMilieux_MISCELLANEOUSMathematicsHyperbolic equilibrium pointACLMathematical analysisSubmanifoldThermostatComputer Science ApplicationsControl and Systems EngineeringHeat transferVector field
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Adaptive backstepping control of uncertain systems in the presence of unmodeled dynamics and time-varying delays

2016

In this paper, the problem of adaptive backstepping control for uncertain systems in the presence of unmodeled dynamics and input time-varying delays is studied. Under some mild assumptions, a robust adaptive controller is designed such that the system is globally stabilized by using adaptive backstepping technique. Meanwhile, the transient system performance in L2 and norms of system output can be adjusted by choosing the design parameters. Finally, a simulation example is given to show the effectiveness of the results.

0209 industrial biotechnology020901 industrial engineering & automationAdaptive controlControl theoryComputer scienceBacksteppingDynamics (mechanics)0202 electrical engineering electronic engineering information engineeringUncertain systems020201 artificial intelligence & image processing02 engineering and technologyTransient (oscillation)2016 Sixth International Conference on Information Science and Technology (ICIST)
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Feasibility Analysis For Constrained Model Predictive Control Based Motion Cueing Algorithm

2019

International audience; This paper deals with motion control for an 8-degree-of-freedom (DOF) high performance driving simulator. We formulate a constrained optimal control that defines the dynamical behavior of the system. Furthermore, the paper brings together various methodologies for addressing feasibility issues arising in implicit model predictive control-based motion cueing algorithms.The implementation of different techniques is described and discussed subsequently. Several simulations are carried out in the simulator platform. It is observed that the only technique that can provide ensured closed-loop stability by assuring feasibility over all prediction horizons is a braking law t…

0209 industrial biotechnology021103 operations researchComputer scienceDriving simulationControl (management)0211 other engineering and technologiesStability (learning theory)Driving simulator02 engineering and technologyModélisation et simulation [Informatique]Motion controlOptimal control[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAutomatique / Robotique [Sciences de l'ingénieur]Motion (physics)[SPI.AUTO]Engineering Sciences [physics]/AutomaticModel predictive controlAcceleration020901 industrial engineering & automationMotion Cueing AlgorithmAlgorithmModel Predictive Control
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Adaptive Backstepping Control of a 2-DOF Helicopter System with Uniform Quantized Inputs

2020

Author's accepted manuscript © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This paper proposes a new adaptive controller for a 2-Degree of Freedom (DOF) helicopter system in the presence of input quantization. The inputs are quantized by uniform quantizers. A nonlinear mathematical model is derived for the 2-DOF helicopter system based on Euler-Lagrange equat…

0209 industrial biotechnologyAdaptive controlComputer science02 engineering and technologyComputer Science::RoboticsNonlinear systemQuantization (physics)VDP::Teknologi: 500020901 industrial engineering & automationControl theoryRobustness (computer science)Backstepping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing
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Decoupled nonlinear adaptive control of position and stiffness for pneumatic soft robots

2020

This article addresses the problem of simultaneous and robust closed-loop control of joint stiffness and position, for a class of antagonistically actuated pneumatic soft robots with rigid links and compliant joints. By introducing a first-order dynamic equation for the stiffness variable and using the additional control degree of freedom, embedded in the null space of the pneumatic actuator matrix, an innovative control approach is introduced comprising an adaptive compensator and a dynamic decoupler. The proposed solution builds upon existing adaptive control theory and provides a technique for closing the loop on joint stiffness in pneumatic variable stiffness actuators. Under a very mi…

0209 industrial biotechnologyAdaptive controlComputer science02 engineering and technologynull-spaceSoft robotadaptive controlComputer Science::Robotics020901 industrial engineering & automationArtificial IntelligenceControl theoryPosition (vector)0202 electrical engineering electronic engineering information engineeringmedicineElectrical and Electronic Engineeringvariable stiffness actuatorsPneumatic actuatorApplied MathematicsMechanical EngineeringStiffnessNonlinear adaptive controlphysical human–robot interactionantagonistic driveModeling and SimulationJoint stiffnesspneumatic actuatorRobot020201 artificial intelligence & image processingmedicine.symptomSoftware
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Adaptive Asymptotically Tracking Control for Uncertain Strict-Feedback Nonlinear Systems with Input Quantization

2018

In this paper, we investigate the output tracking control problem for a class of uncertain nonlinear systems in parametric strict feedback form with quantized input. A novel backstepping based adaptive quantized control scheme is proposed. Different from the existing results, the true quantization parameters are allowed to be unknown in the design of adaptive controller. It is shown that with the proposed control scheme, the system output can track the desired trajectory asymptotically and all the closed-loop signals are globally uniformly bounded.

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineering02 engineering and technologyNonlinear systemQuantization (physics)020901 industrial engineering & automationControl theoryBacksteppingStrict-feedback form0202 electrical engineering electronic engineering information engineeringUniform boundednessParametric statistics
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Adaptive Backstepping Control of a 2-DOF Helicopter

2019

This paper proposes an adaptive nonlinear controller for a 2-Degree of Freedom (DOF) helicopter. The proposed controller is designed using backstepping control technique and is used to track the pitch and yaw position references independently. A MIMO nonlinear mathematical model is derived for the 2DOF helicopter based on Euler-Lagrange equations, where the system parameters and the control coefficients are uncertain. Unlike some existing control schemes for the helicopter control, the developed controller does not require the knowledge on the system uncertain parameters. Updating laws are used to estimate the unknown parameters. It is shown that not only the global stability is guaranteed …

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineeringMIMO02 engineering and technologyComputer Science::RoboticsNonlinear system020901 industrial engineering & automationComputer Science::Systems and ControlControl theoryRobustness (computer science)BacksteppingSystem parametersVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringPosition control
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Aircraft wing rock oscillations suppression by simple adaptive control

2020

Abstract Roll angular motion of the modern aircraft operating in non-linear flight modes with a high angle of attack often demonstrates the limit cycle oscillations, which is commonly known as the wing rock phenomenon. Wing rock dynamics are represented by a substantially non-linear model, with parameters varying over a wide range, depending on the flight conditions (altitude, Mach number, payload mass, etc.) and angle of attack. A perspective approach of the wing rock suppression lies in the adaptation methods. In the present paper an application of the simple adaptive control approach with the Implicit Reference Model (IRM) is proposed and numerically studied. The IRM adaptive controller …

0209 industrial biotechnologyAdaptive controlComputer scienceAngle of attackAerospace Engineering02 engineering and technology01 natural sciences010305 fluids & plasmaslaw.inventionsymbols.namesake020901 industrial engineering & automationCircular motionAileronMach numberControl theorylawRange (aeronautics)0103 physical sciencesTrajectorysymbolsAerospace Science and Technology
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Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

2018

In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that al…

0209 industrial biotechnologyAdaptive controlComputer scienceParameterized complexityEstimator02 engineering and technologyDirected graphNonlinear system020901 industrial engineering & automationControl theoryBackstepping0202 electrical engineering electronic engineering information engineeringTrajectoryUniform boundedness020201 artificial intelligence & image processing
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Adaptive control of uncertain nonlinear systems with quantized input signal

2018

Abstract This paper proposes new adaptive controllers for uncertain nonlinear systems in the presence of input quantization. The control signal is quantized by a class of sector-bounded quantizers including the uniform quantizer, the logarithmic quantizer and the hysteresis quantizer. To clearly illustrate our approaches, we will start with a class of single-loop nonlinear systems and then extend the results to multi-loop interconnected nonlinear systems. By using backstepping technique, a new adaptive control algorithm is developed by constructing a new compensation method for the effects of the input quantization. A hyperbolic tangent function is introduced in the controller with a new tr…

0209 industrial biotechnologyAdaptive controlComputer scienceQuantization (signal processing)02 engineering and technologyLipschitz continuityHyperbolic tangent functionTracking errorAdaptive ControlNonlinear system020901 industrial engineering & automationBacksteppingControl and Systems EngineeringControl theoryBackstepping:Electrical and electronic engineering [Engineering]0202 electrical engineering electronic engineering information engineeringControl signal020201 artificial intelligence & image processingElectrical and Electronic EngineeringAutomatica
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