Sliding mode fuzzy control for nonlinear stochastic systems subject to pole assignment and variance constraint

DOI10.1016/j.ins.2017.12.016zbMath1447.93035OpenAlexW2772388667MaRDI QIDQ781896

Hong-Yu Qiao, Wen-Jer Chang, Cheung-Chieh Ku

Publication date: 20 July 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2017.12.016

zbMATH Keywords

pole assignmentTakagi-Sugeno fuzzy modeloutput performance requirementsliding mode fuzzy controlstate performance requirement

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Pole and zero placement problems (93B55) Variable structure systems (93B12) Stochastic systems in control theory (general) (93E03)

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Observer-based proportional derivative fuzzy control for singular Takagi-Sugeno fuzzy systems ⋮ Barrier Lyapunov functions-based adaptive neural tracking control for non-strict feedback stochastic nonlinear systems with full-state constraints: a command filter approach ⋮ A fuzzy integral sliding-mode parallel control approach for nonlinear descriptor systems ⋮ Torsional vibration control of drill-string systems with time-varying measurement delays ⋮ A covariance feedback approach to covariance control of nonlinear stochastic systems ⋮ A novel fuzzy sliding mode control approach for chaotic systems ⋮ Adaptive fault-tolerance control based finite-time backstepping for hypersonic flight vehicle with full state constrains ⋮ PAC: a novel self-adaptive neuro-fuzzy controller for micro aerial vehicles

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