0000000000278388

AUTHOR

Qi Zhou

showing 8 related works from this author

State-feedback sampled-data control design for nonlinear systems via passive theory

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/230413 Open Access This paper investigates the problem of passive controller design for a class of nonlinear systems under variable sampling. The Takagi-Sugeno (T-S) fuzzy modeling method is utilized to represent the nonlinear systems. Attention is focused on the design of passive controller for the T-S fuzzy systems via sampled-data control approach. Under the concept of very-strict passivity, a novel time-dependent Lyapunov functional is constructed to develop passive analysis criteria and passive controller synthesis conditions. A new …

Class (computer programming)EngineeringArticle Subjectbusiness.industrylcsh:MathematicsGeneral MathematicsPassivityGeneral EngineeringControl engineeringFuzzy control systemlcsh:QA1-939Fuzzy logicNonlinear systemlcsh:TA1-2040Control theoryConvex optimizationState (computer science)VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Analyse: 411lcsh:Engineering (General). Civil engineering (General)business
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Direct adaptive tracking control for a class of pure-feedback stochastic nonlinear systems based on fuzzy-approximation

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/462468 Open Access The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. It is shown that the proposed controller guarantees that all the signals in the closed-loop system are bounded in probability and the tracking error eventually converges to a small neighborhood around …

Article SubjectApplied Mathematicslcsh:MathematicsStructure (category theory)Analysis; Applied Mathematicslcsh:QA1-939Fuzzy logicVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Tracking errorNonlinear systemControl theoryQuartic functionBacksteppingBounded functionAnalysisMathematics
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Exclusive transduction of human CD4+ T Cells upon systemic delivery of CD4-targeted lentiviral vectors

2015

Abstract Playing a central role in both innate and adaptive immunity, CD4+ T cells are a key target for genetic modifications in basic research and immunotherapy. In this article, we describe novel lentiviral vectors (CD4-LV) that have been rendered selective for human or simian CD4+ cells by surface engineering. When applied to PBMCs, CD4-LV transduced CD4+ but not CD4− cells. Notably, also unstimulated T cells were stably genetically modified. Upon systemic or intrasplenic administration into mice reconstituted with human PBMCs or hematopoietic stem cells, reporter gene expression was predominantly detected in lymphoid organs. Evaluation of GFP expression in organ-derived cells and blood …

CD4-Positive T-Lymphocytes10028 Institute of Medical VirologyCell TransplantationGenetic enhancementAdoptiveMice SCIDImmunotherapy AdoptiveInterleukin 21MiceMice Inbred NODTransduction GeneticBone MarrowLeukocytesImmunology and AllergyCytotoxic T cellIL-2 receptorLuciferasesCells CulturedMice KnockoutHeterologousTumorCulturedForkhead Transcription FactorsAcquired immune systemFlow Cytometry3. Good healthCell biologymedicine.anatomical_structure[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology2723 Immunology and Allergy[SDV.IMM]Life Sciences [q-bio]/ImmunologyImmunotherapyRegulatory T cellCellsKnockoutTransplantation HeterologousImmunologyMononuclearGenetic VectorsGreen Fluorescent Proteins610 Medicine & healthStreptamerThymus GlandBiologySCIDCell LineTransductionGeneticCell Line TumormedicineAnimalsHumansInterleukin 3Transplantation2403 ImmunologyLentivirusGenetic TherapyMolecular biology[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyHEK293 CellsLeukocytes MononuclearInbred NOD570 Life sciences; biologySpleen
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Stability of genetic regulatory networks with time-varying delay: Delta operator method

2015

This paper investigates the stability problem for a class of uncertain genetic regulatory networks (GRNs) with time-varying delay via delta operator approach. Both the parameter uncertainty and the generalized activations are considered in the model under study. By constructing an appropriate Lyapunov-Krasovskii functional, the stability and robust stability conditions of GRNs are presented under the delta operator frame. These conditions can be expressed in terms of linear matrix inequalities (LMIs). Finally, a numerical example is employed to illustrate the effectiveness of the proposed results.

Class (set theory)Stability conditionsComputer Science::Systems and ControlArtificial IntelligenceControl theoryCognitive NeuroscienceFrame (networking)Stability (learning theory)Delta operatorLinear matrixComputer Science ApplicationsMathematicsNeurocomputing
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566. Selective and Stable Transduction of Human CD4+ T Cells In Vivo Upon Systemic Administration of CD4-Targeted Lentiviral Vectors

2015

Playing a central role in both innate and adaptive immunity, CD4+ T cells are the key target for genetic modifications in basic research and immunotherapy. Specific and stable delivery of therapeutic genes into these cells is therefore highly desirable. Here, we describe novel lentiviral vectors (CD4-LV) that have been rendered selective for human or simian CD4+ cells by surface engineering. This novel CD4-LV was highly specific and effective in genetic modification of human CD4+ T cells both in vitro and in vivo. When applied to peripheral blood mononuclear cells (PBMC), CD4-LV transduced CD4+ but not CD4− cells. Notably, also unstimulated T cells were stably genetically modified. Upon sys…

PharmacologyStreptamerBiologyNatural killer T cellMolecular biologyCell biologyInterleukin 21Drug DiscoveryInterleukin 12GeneticsCytotoxic T cellMolecular MedicineIL-2 receptorAntigen-presenting cellMolecular BiologyInterleukin 3Molecular Therapy
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Control Design for Discrete-Time Fuzzy Systems with Disturbance Inputs via Delta Operator Approach

2013

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher: http://dx.doi.org/10.1155/2013/724918 Open Access This paper is concerned with the problem of passive control design for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time delay and disturbance input via delta operator approach. The discrete-time passive performance index is established in this paper for the control design problem. By constructing a new type ofLyapunov-Krasovskii function (LKF) in delta domain, and utilizing some fuzzy weighing matrices, a new passive performance condition is proposed for the system under consideration. Based on the condition, a st…

EngineeringArticle Subjectbusiness.industrylcsh:MathematicsGeneral MathematicsGeneral EngineeringControl engineeringFuzzy control systemFunction (mathematics)Delta operatorType (model theory)lcsh:QA1-939Fuzzy logicDomain (software engineering)Discrete time and continuous timelcsh:TA1-2040Control theoryVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Anvendt matematikk: 413lcsh:Engineering (General). Civil engineering (General)businessMathematical Problems in Engineering
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Robust Decentralized Adaptive Neural Control for a Class of Nonaffine Nonlinear Large-Scale Systems with Unknown Dead Zones

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/841306 The problem of robust decentralized adaptive neural stabilization control is investigated for a class of nonaffine nonlinear interconnected large-scale systems with unknown dead zones. In the controller design procedure, radical basis function (RBF) neural networks are applied to approximate packaged unknown nonlinearities and then an adaptive neural decentralized controller is systematically derived without requiring any information on the boundedness of dead zone parameters (slopes and break points). It is proven that the develop…

Engineering (all)Article Subjectlcsh:TA1-2040lcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570Mathematics (all)lcsh:Engineering (General). Civil engineering (General)lcsh:QA1-939Mathematics (all); Engineering (all)Mathematical Problems in Engineering
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State-Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time-Delay Systems

2013

We investigate the state-feedback stabilization problem for a class of stochastic feedforward nonlinear time-delay systems. By using the homogeneous domination approach and choosing an appropriate Lyapunov-Krasovskii functional, the delay-independent state-feedback controller is explicitly constructed such that the closed-loop system is globally asymptotically stable in probability. A simulation example is provided to demonstrate the effectiveness of the proposed design method.

Mathematical optimizationClass (computer programming)Article SubjectApplied Mathematicslcsh:MathematicsFeed forwardState (functional analysis)lcsh:QA1-939Nonlinear systemControl theoryHomogeneousStability theoryAnalysisMathematicsAbstract and Applied Analysis
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