0000000000522564

AUTHOR

Junli Wu

showing 5 related works from this author

Robust H<inf>∞</inf> filtering for stochastic networked control systems

2014

Modeling and simulationComputer scienceControl systemControl engineeringProceedings of the 33rd Chinese Control Conference
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Model predictive control for drum water level of boiler systems

2014

EngineeringDrum Water LevelInformation Systems and Managementbusiness.industryBoiler (power generation)DrumLinear-quadratic-Gaussian controlWater levelNonlinear systemModel predictive controlControl theoryControl and Systems EngineeringbusinessNon-linear SystemsDrum Water Level; Model Predictive Control; Non-linear Systems; Information Systems and Management; Control and Systems EngineeringModel Predictive Control
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Observer-Based Stabilization of Stochastic Systems with Limited Communication

2012

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2012/781542 Open Access This paper studies the problem of observer-based stabilization of stochastic nonlinear systems with limited communication. A communication channel exists between the output of the plant and the input of the dynamic controller, which is considered network-induced delays, data packet dropouts, and measurement quantization. A new stability criterion is derived for the stochastic nonlinear system by using the Lyapunov functional approach. Based on this, the design procedure of observer-based controller is presented,which ensures asy…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Mathematical optimizationObserver (quantum physics)Article SubjectComputer scienceStability criterionGeneral Mathematicslimited communicationSeparation principleExponential stabilityControl theorydesign proceduredynamic controllerNetwork packetlcsh:MathematicsQuantization (signal processing)VDP::Technology: 500::Mechanical engineering: 570General EngineeringIllustrative examplesObserver (special relativity)lcsh:QA1-939Lyapunov functionalsdesign techniqueNonlinear systemlcsh:TA1-2040data packet dropoutlcsh:Engineering (General). Civil engineering (General)Mathematical Problems in Engineering
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Stabilization of discrete-time systems with stochastic sampling

2012

This paper is concerned with the stabilization problem of discrete-time systems with stochastic sampling. It is assumed that there are a single-rate sampling in the plant input and two stochastic sampling rates in the controller input whose occurrence probabilities are given constants and satisfy a Bernoulli distribution. By Lyapunov function approach, a new sufficient condition is presented for the mean square asymptotic stability of the system. Based on this, the design procedure for stabilization controllers is proposed. Finally, an example is given to demonstrate the effectiveness of the proposed techniques.

Mean squareLyapunov functionsymbols.namesakeExponential stabilityDiscrete time and continuous timeRobustness (computer science)Bernoulli distributionStochastic processControl theorysymbolsSampling (statistics)Mathematics2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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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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