Model Free Adaptive Control for a Class of Nonlinear Systems Using Quantized Information

Author:

Bu Xuhui1,Qiao Yingxu2,Hou Zhongsheng3,Yang Junqi1

Affiliation:

1. School of Electrical Engineering & Automation; Henan Polytechnic University; Jiaozuo China

2. College of Computer Science and Technology; Henan Polytechnic University; Jiaozuo China

3. Advanced Control Systems Laboratory, School of Electronics and Information Engineering; Beijing Jiaotong University; Beijing China

Funder

Innovative Scientists and Technicians Team of Henan Polytechnic university

Innovation Scientists and Technicians Troop Construction Projects of Henan Province

Fundamental Research Funds for the Universities of Henan Province, the program of Key Young Teacher of Higher Education of Henan Province

Program for Science & Technology Innovation Talents in Universities of Henan Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering

Reference27 articles.

1. A novel data-driven control approach for a class of discrete-time nonlinear systems;Hou;IEEE Trans. Control Syst. Technol.,2011

2. Data-driven model-free adaptive control for a class of MIMO Nonlinear discrete-time systems;Hou;IEEE Trans. on Neural Networks.,2011

3. Adaptive terminal ILC for iteration-varying target points;Chi;Asian J. of Control,2015

4. Robust model free adaptive control with measurement disturbance;Bu;IET Control Theory & Applicat.,2012

5. Adaptive observer based data-driven control for nonlinear discrete-time processes;Xu;IEEE Trans. Autom. Sci. Eng.,2014

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3. Quantized Output Observer-based Data Driven Model-free Adaptive Control;J APPL SCI ENG;2023

4. A Data-Based Adaptive Predictive Controller Design for Stabilizing Unknown Nonlinear Systems Featuring Input and Output Saturations;2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM);2022-11-15

5. RBFNN-based event-triggered MFAC for discrete-time nonlinear systems with disturbances and data quantization;2022 34th Chinese Control and Decision Conference (CCDC);2022-08-15

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