Practical fixed-time neural control for MIMO non-strict feedback nonlinear systems: an adaptive neural network approach
DOI10.1080/00207721.2024.2343740zbMATH Open1544.93687MaRDI QIDQ6595636
Shuai Sui, Shaocheng Tong, C. L. Philip Chen, Author name not available (Why is that?)
Publication date: 30 August 2024
Published in: International Journal of Systems Science. Principles and Applications of Systems and Integration (Search for Journal in Brave)
Feedback control (93B52) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Adaptive control/observation systems (93C40) Finite-time stability (93D40)
Cites Work
- Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
- Adaptive fixed-time bipartite tracking consensus control for unknown nonlinear multi-agent systems: an information classification mechanism
- Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
- Adaptive neural control for non-strict-feedback nonlinear systems with input delay
- Fuzzy adaptive asymptotic tracking of uncertain nonlinear systems with full states constraints
- Neural network-based asymptotic tracking control design for stochastic nonlinear systems
- Finite-time adaptive fuzzy asymptotic tracking control for PMSMs with full-state constraints
- Adaptive Fixed-Time Control for MIMO Nonlinear Systems With Asymmetric Output Constraints Using Universal Barrier Functions
- Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
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