Asymmetric integral barrier Lyapunov function-based adaptive tracking control considering full-state with input magnitude and rate constraint
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Publication:2005391
DOI10.1016/j.jfranklin.2020.07.037zbMath1448.93162OpenAlexW3046089660MaRDI QIDQ2005391
Junkang Ni, Mingshan Hou, Yajun Li, Zhonghua Wu, Bojun Liu
Publication date: 7 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.07.037
Related Items (8)
Asymmetric integral BLF based state‐constrained flight control using NN and DOB ⋮ Distributed consensus tracking control of nonlinear multi-agent systems with dynamic output constraints and input saturation ⋮ Optimal non-fragile control design for linear systems under amplitude and rate saturation: an LMI approach ⋮ Fixed-time SOSM controller design subject to an asymmetric output constraint ⋮ Fixed-time composite neural learning control of state-constrained nonlinear uncertain systems ⋮ Robust adaptive finite-time stabilization control for a class of nonlinear switched systems based on finite-time disturbance observer ⋮ IBLF-based adaptive finite-time control and modeling for continuous stirred tank reactor with output constraint ⋮ Command filter-based adaptive neural finite-time control for stochastic nonlinear systems with time-varying full-state constraints and asymmetric input saturation
Cites Work
- Cooperative control of a nonuniform gantry crane with constrained tension
- Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints
- Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
- Barrier Lyapunov functions for the control of output-constrained nonlinear systems
- New anti-windup structure for magnitude and rate limited inputs and peak-bounded disturbances
- Nonlinear tracking control in the presence of state and control constraints: a generalized reference governor
- Constrained model predictive control: Stability and optimality
- Tracking control of MIMO nonlinear systems under full state constraints: a single-parameter adaptation approach free from feasibility conditions
- Practical tracking control of perturbed uncertain nonaffine systems with full state constraints
- An improvement of single-network adaptive critic design for nonlinear systems with asymmetry constraints
- Model recovery anti-windup for continuous-time rate and magnitude saturated linear plants
- Adaptive neural dynamic surface control of strict-feedback nonlinear systems with full state constraints and unmodeled dynamics
- Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
- Robust attitude tracking control of spacecraft under control input magnitude and rate saturations
- Output-Feedback Control for Stochastic Nonlinear Systems Subject to Input Saturation and Time-Varying Delay
- Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems
- Improved prescribed performance control for nonaffine pure‐feedback systems with input saturation
- Robust Constraint Satisfaction for Continuous-Time Nonlinear Systems in Strict Feedback Form
- Adaptive Fixed-Time Control for MIMO Nonlinear Systems With Asymmetric Output Constraints Using Universal Barrier Functions
- Integral sliding mode control for Euler‐Lagrange systems with input saturation
- Adaptive Tracking Control for a Class of Stochastic Uncertain Nonlinear Systems With Input Saturation
- Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance
- Output feedback controllers for disturbance attenuation with actuator amplitude and rate saturation
- Finite-time spacecraft attitude control under input magnitude and rate saturation
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