Observer-based synergetic adaptive neural network control for a class of discrete-time nonlinear systems with dead-zone
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Publication:5026902
DOI10.1080/00207721.2019.1645230zbMath1483.93330OpenAlexW2966359523MaRDI QIDQ5026902
Peihao Du, Shiyi Zhao, Hongjing Liang
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/10.1080/00207721.2019.1645230
Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Observers (93B53)
Related Items (2)
Fixed-time terminal synergetic observer for synchronization of fractional-order chaotic systems ⋮ Adaptive generation of limit cycles in a class of nonlinear systems with unknown parameters and dead-zone nonlinearity
Cites Work
- A novel robust control scheme for LTV systems using output integral discrete-time synergetic control theory
- Adaptive tracking control for switched stochastic nonlinear systems with unknown actuator dead-zone
- A sliding mode approach to stabilization of nonlinear Markovian jump singularly perturbed systems
- Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
- Adaptive fuzzy synergetic control for nonlinear hysteretic systems
- A Robust Predictive Control Design for Nonlinear Active Suspension Systems
- Adaptive Backstepping Stabilization of Nonlinear Uncertain Systems With Quantized Input Signal
- A novel adaptive control approach for nonlinear strict-feedback systems using nonlinearly parameterised fuzzy approximators
- Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance
- Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead-zone input
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