-observer-based adaptive robust control of electrical-optical gyro-stabilized platform with largely unknown modeling uncertainties and partial state feedback
From MaRDI portal
Publication:6496185
DOI10.1002/ACS.3410MaRDI QIDQ6496185
Yang Yang, Fengbo Yang, Yuefei Wu
Publication date: 3 May 2024
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
parametric uncertaintiestracking differentiatorextended state observer (ESO)unmatched uncertaintynonlinear disturbance observer (NDO)
Cites Work
- Unnamed Item
- Adaptive dynamic surface control based on fuzzy disturbance observer for drive system with elastic coupling
- Global adaptive neural control for strict-feedback time-delay systems with predefined output accuracy
- Output feedback stabilization of stochastic feedforward systems with unknown control coefficients and unknown output function
- Adaptive robust control of linear motors with dynamic friction compensation using modified LuGre model
- Composite adaptive control for Euler-Lagrange systems with additive disturbances
- Semi-globally/globally stable adaptive NN backstepping control for uncertain MIMO systems with tracking accuracy known \textit{a priori}
- Adaptive fuzzy control for full states constrained systems with nonstrict-feedback form and unknown nonlinear dead zone
- A globally stable saturated desired compensation adaptive robust control for linear motor systems with comparative experiments
- A Continuous Asymptotic Tracking Control Strategy for Uncertain Nonlinear Systems
- Robust Adaptive Asymptotic Tracking of Nonlinear Systems With Additive Disturbance
- Neural networks‐based adaptive practical preassigned finite‐time fault tolerant control for nonlinear time‐varying delay systems with full state constraints
- Disturbance compensation based asymptotic tracking control for nonlinear systems with mismatched modeling uncertainties
This page was built for publication: -observer-based adaptive robust control of electrical-optical gyro-stabilized platform with largely unknown modeling uncertainties and partial state feedback