A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping

DOI10.1016/S0165-0114(00)00068-3zbMath0991.93064WikidataQ127012179 ScholiaQ127012179MaRDI QIDQ5947545

Li-Chen Fu, Feng-Yi Hsu

Publication date: 1 September 2002

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

zbMATH Keywords

trackingbacksteppingdesigncentral B-splinesclosed-loop stabilityfuzzy variable structural controlmodel reference adaptive controlsmooth membership functions

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40)

Related Items (10)

\(H_{\infty}\) tracking-based adaptive fuzzy-neural control for MIMO uncertain robotic systems with time delays ⋮ Design of adaptive fuzzy backstepping sliding mode control for MIMO uncertain discrete-time nonlinear systems based on noisy measurements ⋮ A new concept for fuzzy variable based non-linear programming problem with application on system reliability via genetic algorithm approach ⋮ Robust control for a class of uncertain nonlinear systems: adaptive fuzzy approach based on backstepping ⋮ Cascade Control System-Based Cost Effective Combination of Tensor Product Model Transformation and Fuzzy Control ⋮ Observer-based fuzzy adaptive control for strict-feedback nonlinear systems ⋮ Fuzzy adaptive observer backstepping control for MIMO nonlinear systems ⋮ Linear Matrix Inequality Conditions of Nonlinear Systems by Genetic Algorithm-based H ∞ Adaptive Fuzzy Sliding Mode Controller ⋮ Design of a simplified adaptive fuzzy backstepping control for uncertain discrete-time nonlinear systems ⋮ Stable indirect adaptive switching control for fuzzy dynamical systems based on T–S multiple models

Cites Work

• Design of `softer' robust nonlinear control laws
• Nonlinear black-box models in system identification: Mathematical foundations
• Adaptive nonlinear output-feedback schemes with Marino-Tomei controller
• Global adaptive output-feedback control of nonlinear systems. I. Linear parameterization
• Global adaptive output-feedback control of nonlinear systems. II. Nonlinear parameterization

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