Dynamic output-feedback guaranteed cost control for linear systems with uniform input quantization

DOI10.1007/s11071-010-9701-yzbMath1205.93055OpenAlexW2075109820MaRDI QIDQ619529

Sung Wook Yun, Yun Jong Choi, Poo Gyeon Park

Publication date: 25 January 2011

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-010-9701-y

zbMATH Keywords

asymptotic stabilityvariable structure controlinput quantizationguaranteed costdynamic output-feedback control

Mathematics Subject Classification ID

Feedback control (93B52) Linear systems in control theory (93C05) Asymptotic stability in control theory (93D20) Variable structure systems (93B12) Linear-quadratic optimal control problems (49N10)

Related Items (12)

Piecewise \(H_{\infty}\) static output feedback controller design for nonlinear systems based on T-S affine fuzzy models ⋮ T-S fuzzy control design for a class of nonlinear networked control systems ⋮ Dynamic output feedback guaranteed cost control for linear systems with interval time-varying delays in states and outputs ⋮ Asymptotic stabilization of continuous-time linear systems with input and state quantizations ⋮ \(\mathcal{H}_\infty\) control of continuous-time uncertain linear systems with quantized-input saturation and external disturbances ⋮ Robust quantized output feedback control for uncertain discrete time-delay systems with saturation nonlinearity ⋮ Quantization Behaviors in Equivalent-Control Based Sliding-Mode Control Systems ⋮ QUANTIZATION EFFECT ON A SECOND-ORDER DYNAMICAL SYSTEM UNDER SLIDING-MODE CONTROL ⋮ Reliable piecewise control design for systems with actuator saturation and fault ⋮ Set-membership filtering for time-varying complex networks with uniform quantisations over randomly delayed redundant channels ⋮ Further results on memory control of nonlinear discrete-time networked control systems with random input delay ⋮ Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects

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