Discrete-Time Control for Double-Integrator Systems With State Constraint and Learning Gain
Author:
Affiliation:
1. Research Center for Intelligent Robotics, School of Astronautics, and the National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical University, Xi’an, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/9996096/09863073.pdf?arnumber=9863073
Reference23 articles.
1. Discrete-Time Control Barrier Function: High-Order Case and Adaptive Case
2. Discrete-time practical robotic control for human–robot interaction with state constraint and sensorless force estimation
3. Sliding-Mode Control of Full-State Constraint Nonlinear Systems: A Barrier Lyapunov Function Approach
4. Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems
5. Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems
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