Robust stabilization and ultimate boundedness of dynamic surface control systems via convex optimization

DOI10.1080/00207170210140843zbMath1011.93095OpenAlexW2031758769MaRDI QIDQ4783548

Bongsob Song, J. Karl Hedrick, Adam Howell

Publication date: 18 May 2003

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170210140843

zbMATH Keywords

convex optimizationtrackingnonlinear systemlinear matrix inequalityeigenvaluesdynamic surface controlellipsoidal approximationstrict feedbacknon-Lipschitz nonlinearitiestracking error boundsclosed loop errorcontroller gainsfilter time constantslinear error dynamics

Mathematics Subject Classification ID

Linear inequalities of matrices (15A39) Nonlinear systems in control theory (93C10) Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive or robust stabilization (93D21)

Related Items (5)

Automotive engine hybrid modelling and control for reduction of hydrocarbon emissions ⋮ L' Hopital's rule-based adaptive dynamic surface control for a class of strict-feedback systems with unknown parameters ⋮ Dynamic surface control approach to adaptive robust control of nonlinear systems in semi-strict feedback form ⋮ Event-triggered fuzzy adaptive compensation control for uncertain stochastic nonlinear systems with given transient specification and actuator failures ⋮ Event-triggered neural adaptive failure compensation control for stochastic systems with dead-zone output

Cites Work

• Necessary and sufficient conditions for quadratic stabilizability of an uncertain system
• Dynamic surface control for a class of nonlinear systems
• Linear Matrix Inequalities in System and Control Theory
• Multiple-surface sliding control of a class of uncertain nonlinear systemsm
• Quadratic boundedness of nominally linear systems
• Unnamed Item

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