Search results for "Observer-based control"

showing 4 items of 4 documents

Observer-based H∞ control on stochastic nonlinear systems with time-delay and actuator nonlinearity

2013

Abstract In this paper, an observer-based H ∞ controller is designed for a class of extended Markov jump systems subject to time-delay and actuator saturation nonlinearity. Gradient linearization procedure is employed to describe such nonlinear systems by several linear Markov jump systems. Next, a mode-dependent Lyapunov function is constructed for these linear systems, and a sufficient condition is derived to make them stochastically stable, and then, a continuous gain-scheduled approach is applied to design a continuous nonlinear observer-based controller on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

Lyapunov functionDiscrete systemObserver (quantum physics)Computer Networks and CommunicationsApplied MathematicsLinear systemtime-delay systemH infinite controlsymbols.namesakeNonlinear systemControl and Systems EngineeringLinearizationControl theorySignal ProcessingsymbolsJumpsaturating controlActuatordisturbance-observer-based controlMathematics
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Observer-based finite-time fuzzy H∞ control for discrete-time systems with stochastic jumps and time-delays

2014

This paper is concerned with the problem of observer-based finite-time H ∞ control for a family of discrete-time Markovian jump nonlinear systems with time-delays represented by Takagi-Sugeno (T-S) model. The main contribution of this paper is to design an observer-based finite-time H ∞ controller such that the resulting closed-loop system is stochastic finite-time bounded and satisfies a prescribed H ∞ disturbance attenuation level over the given finite-time interval. Sufficient criteria on stochastic finite-time H ∞ stabilization via observer-based fuzzy state feedback are presented for the solvability of the problem, which can be tackled by a feasibility problem in terms of linear matrix…

Signal processingObserver (quantum physics)Finite-time H∞ controlTakagi-Sugeno (T-S) modelMarkovian jump systemsFuzzy control systemFuzzy logicFinite-time H∞ control; Markovian jump systems; Observer-based control; Takagi-Sugeno (T-S) model; Electrical and Electronic Engineering; Control and Systems Engineering; Software; Signal Processing; 1707Nonlinear systemobserver-based controlTakagi–Sugeno (T–S) modelDiscrete time and continuous timeControl and Systems EngineeringControl theoryBounded functionSignal ProcessingComputer Vision and Pattern RecognitionState observerElectrical and Electronic Engineeringfinite-time H∞ controlfinite-time H infinity controlObserver-based controlSoftware1707Mathematics
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Network-based H∞ output feedback control for uncertain stochastic systems

2013

This paper investigates the problem of network-based Floc, output feedback control for a class of stochastic nonlinear systems. A novel model is proposed to describe the systems taken into two sides of communication channels in the network environment, which is more general than one side of communication channel. The design procedure of observer-based controller is presented, which, guarantees the asymptotic stability in the mean square of the resulting closed-loop system with an H-infinity performance. Finally, a crane example is utilized to show the effectiveness and potential of the developed techniques. Refereed/Peer-reviewed

Information Systems and ManagementObserver (quantum physics)Computer scienceControl (management)observer-based controllerClass (philosophy)Networked control systemstochastic systemSeparation principleComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theorynetworked control systemSoftwareInformation Sciences
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Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction

2014

Abstract This paper deals with the problem of adaptive output feedback neural network controller design for a SISO non-affine nonlinear system. Since in practice all system states are not available in output measurement, an observer is designed to estimate these states. In comparison with the existing approaches, the current method does not require any information about the sign of control gain. In order to handle the unknown sign of the control direction, the Nussbaum-type function is utilized. In order to approximate the unknown nonlinear function, neural network is firstly exploited, and then to compensate the approximation error and external disturbance a robustifying term is employed. …

Lyapunov stabilityAdaptive controlObserver (quantum physics)Artificial neural networkComputer Networks and CommunicationsApplied MathematicsNeural network control; Observer-based control; Uncertain non-affine systems; Unknown gain direction; Control and Systems Engineering; Computer Networks and Communications; Applied Mathematics; Signal ProcessingUnknown gain directionControl engineeringNonlinear controlNonlinear systemNeural network controlExponential stabilityControl and Systems EngineeringControl theorySignal ProcessingObserver-based controlUncertain non-affine systemsMathematicsJournal of the Franklin Institute
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