An improvement on the transient response of tracking for the sampled-data system based on an improved PD-type iterative learning control

DOI10.1016/j.jfranklin.2013.10.014zbMath1293.93709OpenAlexW2066001980MaRDI QIDQ398499

Jason Sheng-Hong Tsai, Ying-Ting Liao, Shu-Mei Guo, Fu-Ming Chen, Fu-Zen Shaw, Ming-Chung Ho, Leang San Shieh

Publication date: 15 August 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.10.014

zbMATH Keywords

state estimatorsampled-data systemdiscrete-time version high performance tracker designlinear quadratic tracker (LQT)off-line observer/Kalman filter identificationPD-type iterative learning control (ILC)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Learning and adaptive systems in artificial intelligence (68T05) Estimation and detection in stochastic control theory (93E10)

Related Items (7)

Adaptive iterative learning control for nonlinear uncertain systems with both state and input constraints ⋮ Iterative learning control for nonlinear stochastic systems with variable pass length ⋮ State constrained tracking control for nonlinear systems ⋮ On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters ⋮ A generalised optimal linear quadratic tracker with universal applications – part 1: continuous-time systems ⋮ A generalised optimal linear quadratic tracker with universal applications. Part 2: discrete-time systems ⋮ Discrete PID-type iterative learning control for mobile robot

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