A comparison of compensation methods for random input data dropouts in networked iterative learning control system
DOI10.1186/S13662-018-1935-XzbMath1458.93271OpenAlexW2923046615WikidataQ128333149 ScholiaQ128333149MaRDI QIDQ667966
Zhe Zhang, Hanqing Ding, Lijun Sun, Lixun Huang, Qiuwen Zhang
Publication date: 4 March 2019
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-018-1935-x
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Stochastic learning and adaptive control (93E35)
Cites Work
- Stability analysis of discrete-time iterative learning control systems with interval uncertainty
- Networked iterative learning control for discrete-time systems with stochastic packet dropouts in input and output channels
- Learning control for linear systems under general data dropouts at both measurement and actuator sides: a Markov chain approach
- Iterative learning control for a class of nonlinear systems with random packet losses
- Two updating schemes of iterative learning control for networked control systems with random data dropouts
- Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Channel Noise
- A convex optimization design of robust iterative learning control for linear systems with iteration-varying parametric uncertainties
- A statistical analysis of certain iterative learning control algorithms
- A discrete-time stochastic learning control algorithm
- A generalized iterative learning controller against initial state error
- A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments
- A framework of iterative learning control under random data dropouts: Mean square and almost sure convergence
- Iterative Learning Control for Nonlinear Systems with Data Dropouts at Both Measurement and Actuator Sides
- Effects of network communications on a class of learning controlled non-linear systems†
- H∞iterative learning controller design for a class of discrete-time systems with data dropouts
- Robust iterative learning control design is straightforward for uncertain LTI systems satisfying the robust performance condition
- Initial shift issues on discrete-time iterative learning control with system relative degree
This page was built for publication: A comparison of compensation methods for random input data dropouts in networked iterative learning control system
