D-type iterative learning control for one-sided Lipschitz nonlinear systems
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
D-type iterative learning control for one-sided Lipschitz nonlinear systems
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-02-22
DOI
10.1002/rnc.4511
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- D-Type ILC Based Dynamic Modeling and Norm Optimal ILC for High-Speed Trains
- (2018) Qiongxia Yu et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- High-Precision Tracking of Piezoelectric Actuator Using Iterative Learning Control and Direct Inverse Compensation of Hysteresis
- (2018) Yupei Jian et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Sampled-data iterative learning control for continuous-time nonlinear systems with iteration-varying lengths
- (2018) Lanjing Wang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Consensus control for multi-agent systems with quasi-one-sided Lipschitz nonlinear dynamics via iterative learning algorithm
- (2018) Qin Fu et al. NONLINEAR DYNAMICS
- Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations
- (2018) Xuhui Bu et al. IEEE Transactions on Neural Networks and Learning Systems
- Iterative learning scheme-based fault estimation design for nonlinear systems with varying trial lengths and specified constraints
- (2018) Li Feng et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Robust Iterative Learning Control for Nonrepetitive Uncertain Systems
- (2017) Deyuan Meng et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Stability analysis of quantized iterative learning control systems using lifting representation
- (2017) Xuhui Bu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Fractional-order iterative learning control with initial state learning design
- (2017) Yang Zhao et al. NONLINEAR DYNAMICS
- On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters
- (2017) Miao Yu et al. NONLINEAR DYNAMICS
- Improved exponential observer design for one-sided Lipschitz nonlinear systems
- (2016) Wei Zhang et al. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
- Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths
- (2015) Xuefang Li et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Robust finite-time H∞ control for one-sided Lipschitz nonlinear systems via state feedback and output feedback
- (2015) Jun Song et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Control design for one-sided Lipschitz nonlinear differential inclusions
- (2014) Xiushan Cai et al. ISA TRANSACTIONS
- Unknown input observer design for one-sided Lipschitz nonlinear systems
- (2014) Wei Zhang et al. NONLINEAR DYNAMICS
- Full-order and reduced-order observers for one-sided Lipschitz nonlinear systems using Riccati equations
- (2012) Wei Zhang et al. Communications in Nonlinear Science and Numerical Simulation
- Iterative learning control for a class of nonlinear systems with random packet losses
- (2012) Xuhui Bu et al. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
- Observer design for one-sided Lipschitz discrete-time systems
- (2012) Mohamed Benallouch et al. SYSTEMS & CONTROL LETTERS
- Reduced-order observer design for one-sided Lipschitz non-linear systems
- (2009) M. Xu et al. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
- A note on observer design for one-sided Lipschitz nonlinear systems
- (2009) Yanbin Zhao et al. SYSTEMS & CONTROL LETTERS
- Iterative learning control and repetitive control in hard disk drive industry—A tutorial
- (2007) YangQuan Chen et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now