Iterative learning identification for a class of parabolic distributed parameter systems
From MaRDI portal
Publication:5025839
DOI10.1080/00207721.2019.1691281zbMath1489.93051OpenAlexW2990825163WikidataQ126660775 ScholiaQ126660775MaRDI QIDQ5025839
Xing-Yu Zhou, Senping Tian, Xisheng Dai, Haoping Wang
Publication date: 7 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2019.1691281
convergence analysisdistributed parameter systemsiterative learning identificationcurved surface identification
Control/observation systems governed by partial differential equations (93C20) System identification (93B30) Iterative learning control (93B47)
Related Items
An iterative learning identification strategy for nonlinear macroscopic traffic flow model, Closed loop variable gain ILC for a class of nonlinear parabolic distributed parameter systems with moving boundaries, Quantized iterative learning control for singular nonlinear fractional-order time-delay multi-agent systems with iteration-varying reference trajectories and switching topologies, Iterative learning control-based tracking synchronization for linearly coupled reaction-diffusion neural networks with time delay and iteration-varying switching topology, Disturbance observer‐based adaptive boundary iterative learning control for a rigid‐flexible manipulator with input backlash and endpoint constraint
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Iterative parameter identification methods for nonlinear functions
- Iterative learning control of inhomogeneous distributed parameter systems -- frequency domain design and analysis
- A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's \(t\)-distribution noises
- Nonlinear and robust control of PDE systems. Methods and applications to transport-reaction processes
- Observer-based dissipative output feedback control for network T-S fuzzy systems under time delays with mismatch premise
- Least squares based iterative identification for a class of multirate systems
- Unified iterative learning control for flexible structures with input constraints
- Convergence analysis of feedback-based iterative learning control with input saturation
- Iterative learning control. Convergence, robustness and applications
- Identification of distributed-parameter systems from sparse measurements
- Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay
- Parameter identification and application of a distributed parameter coupled system with a movable inner boundary
- Newton iterative identification for a class of output nonlinear systems with moving average noises
- Parameter and differentiation order estimation in fractional models
- \(\mathrm D\)-type anticipatory iterative learning control for a class of inhomogeneous heat equations
- An identification method for MIMO continuous-time systems via iterative learning control concepts
- Eigenspectrum-Based Iterative Learning Control for a Class of Distributed Parameter System
- Direct parameter identification of distributed parameter systems
- Simultaneous identification of time-varying parameters and estimation of system states using iterative learning observers
- A robust high-order P-type iterative learning controller using current iteration tracking error
- Time series prediction using support vector machines, the orthogonal and the regularized orthogonal least-squares algorithms
- Learning Identification: Least Squares Algorithms and Their Repetitive Consistency
- A Discrete-Time Periodic Adaptive Control Approach for Time-Varying Parameters With Known Periodicity
- An Iterative Identification Method for Linear Continuous-Time Systems
- An average operator-based PD-type iterative learning control for variable initial state error
- System Identification and Low-Order Optimal Control of Intersample Behavior in ILC
- Analysis of nonlinear discrete-time systems with higher-order iterative learning control
