Iterative learning control for discrete-time systems with exponential rate of convergence

DOI10.1049/ip-cta:19960244zbMath0875.93211OpenAlexW2063498039MaRDI QIDQ4331614

Notker Amann, David H. Owens, Eric Rogers

Publication date: 14 May 1997

Published in: IEE Proceedings - Control Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/006a503586ab994ef18fef24aff1a1e34166ecf6

Mathematics Subject Classification ID

Differential games and control (49N70) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Pursuit and evasion games (49N75)

Related Items (max. 100)

Iterative learning control for constrained linear systems ⋮ A convex optimization design of robust iterative learning control for linear systems with iteration-varying parametric uncertainties ⋮ Time and frequency domain convergence properties in iterative learning control ⋮ Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model ⋮ Quasi-Newton-type optimized iterative learning control for discrete linear time invariant systems ⋮ An algebraic approach to iterative learning control ⋮ A data-driven adaptive ILC for a class of nonlinear discrete-time systems with random initial states and iteration-varying target trajectory ⋮ Iterative learning control approach for a kind of heterogeneous multi-agent systems with distributed initial state learning ⋮ Accelerated norm-optimal iterative learning control algorithms using successive projection ⋮ Iterative Learning Control — Monotonicity and Optimization ⋮ Computationally‐Light Non‐Lifted Data‐Driven Norm‐Optimal Iterative Learning Control ⋮ Linearly monotonic convergence of nonlinear <scp>parameter‐optimal</scp> iterative learning control to linear discrete‐time‐invariant systems ⋮ Input–output‐driven gain‐adaptive iterative learning control for linear discrete‐time‐invariant systems ⋮ Markov parameters identification and adaptive iterative learning control for linear discrete-time MIMO systems with higher-order relative degree ⋮ A novel iterative learning control scheme based on Broyden‐class optimization method ⋮ Alternating projection‐based iterative learning control for discrete‐time systems with non‐uniform trial lengths ⋮ Novel iterative learning controls for linear discrete-time systems based on a performance index over iterations ⋮ A generalised optimal linear quadratic tracker with universal applications. Part 2: discrete-time systems ⋮ Feedback-assisted iterative learning model predictive control with nonlinear fuzzy model ⋮ A computationally efficient norm optimal iterative learning control approach for LTV systems ⋮ Estimation-based norm-optimal iterative learning control ⋮ Limit sets and switching strategies in parameter-optimal iterative learning control ⋮ Model-based iterative learning control with a quadratic criterion for time-varying linear systems ⋮ Discrete Fourier transform based frequency characteristics of iterative learning control for linear discrete-time systems ⋮ Parameter-optimal iterative learning control using polynomial representations of the inverse plant ⋮ Combined inverse and gradient iterative learning control: performance, monotonicity, robustness and non‐minimum‐phase zeros ⋮ Using basis functions in iterative learning control: analysis and design theory ⋮ Monotonic Newton method based ILC with parameter optimization for non-linear systems ⋮ Experimentally verified point‐to‐point iterative learning control for highly coupled systems ⋮ Multivariable norm optimal and parameter optimal iterative learning control: a unified formulation ⋮ Iterative learning controllers for discrete-time large-scale systems to track trajectories with distinct magnitudes ⋮ Robust iterative learning control of an exothermic semi-batch chemical reactor ⋮ Modelling of non-minimum phase effects in discrete-time norm optimal iterative learning control ⋮ Iterative learning in optimal control of linear dynamic processes ⋮ Robust iterative learning control for linear systems with multiple time-invariant parametric uncertainties ⋮ Some Controllability Aspects for Iterative Learning Control ⋮ Real‐time iterative learning control‐two applications with time scales between years and nanoseconds ⋮ Stochastic P-type/D-type iterative learning control algorithms ⋮ Cross-coupled iterative learning control of systems with dissimilar dynamics: design and implementation ⋮ Towards transient growth analysis and design in iterative learning control ⋮ Newton method based iterative learning control for discrete non-linear systems ⋮ A stochastic iterative learning control algorithm with application to an induction motor ⋮ Observer-based data-driven constrained norm optimal iterative learning control for unknown non-affine non-linear systems with both available and unavailable system states ⋮ Comparison of Iterative Learning and Repetitive Control Applied to a Compressor Stator Cascade ⋮ An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation ⋮ Multivariable norm optimal iterative learning control with auxiliary optimisation ⋮ Fast calculation of the ‘ILC norm’ in iterative learning control ⋮ Convergence characteristics of iterative learning control for discrete-time singular systems ⋮ Iterative learning control for intermittently sampled data: monotonic convergence, design, and applications

This page was built for publication: Iterative learning control for discrete-time systems with exponential rate of convergence