Optimal adaptive reset control with guaranteed transient and steady state tracking error bounds
From MaRDI portal
Publication:2411415
DOI10.1016/j.jfranklin.2017.07.031zbMath1373.93171OpenAlexW2735203624MaRDI QIDQ2411415
Maryam Dehghani, Mehrnoush Davanipour, Alireza Khayatian
Publication date: 24 October 2017
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.07.031
nonlinear systemsadaptive backstepping controlleroptimal adaptive reset controltransient and steady state tracking error bounds
Related Items
Optimal reset law design based on guaranteed cost control method for Lipschitz nonlinear systems ⋮ Optimal reset unknown input observer design for fault and state estimation in a class of nonlinear uncertain systems
Cites Work
- Adaptive tracking control for uncertain switched nonlinear systems in nonstrict-feedback form
- Adaptive control for a class of nonlinear time-delay systems with dead-zone input
- A reset observer with discrete/continuous measurements for a class of fuzzy nonlinear systems
- Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems
- Adaptive nonlinear control without overparametrization
- Switching in systems and control
- Adaptive neural network based prescribed performance control for teleoperation system under input saturation
- Reset observers for linear time-varying delay systems: delay-dependent approach
- Adaptive preview control for piecewise discrete-time systems using multiple models
- Real-Time <inline-formula> <tex-math notation="TeX">${\cal L}_{1}$</tex-math></inline-formula> Adaptive Control for Uncertain Networked Control Systems
- Multiple Model Adaptive Control for a Class of Linear-Bounded Nonlinear Systems
- <inline-formula> <tex-math notation="TeX">${\rm L}_{1}$</tex-math></inline-formula>-Adaptive Control: Stability, Robustness, and Interpretations
- Improved transient performance of nonlinear adaptive backstepping using estimator resetting based on multiple models
- New Concepts in Adaptive Control Using Multiple Models