A predictive approach to adaptive fuzzy sliding-mode control of under-actuated nonlinear systems with input saturation

DOI10.1080/00207721.2020.1867775zbMath1483.93343OpenAlexW3119767405MaRDI QIDQ5028068

Amir H. D. Markazi, Alireza Mousavi

Publication date: 8 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2020.1867775

zbMATH Keywords

actuator saturationstate-dependent uncertaintiesadaptive fuzzy sliding-mode controlmodel predictioncoefficients of the sliding surfaceunder-actuated SISO systems

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Variable structure systems (93B12) Model predictive control (93B45)

Related Items (1)

A reinforcement learning‐based approach for near‐optimal sliding‐mode control of output‐constrained uncertain nonlinear systems

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