Results 41 to 50 of about 475,550 (200)
Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings
In this paper, we develop an extremum seeking control method integrated with iterative learning control to track a time-varying optimizer within finite time.
Allgöwer, Frank +4 more
core +2 more sources
Application of iterative nonlinear model predictive control to a batch pilot reactor [PDF]
IFAC WORLD CONGRESS (16) (16.2005.PRAGA, REPÚBLICA CHECA)The aim of this article is to present the Iterative Model Predictive Controller, inmpc, as a good candidate to control chemical batch reactors. The proposed control approach is derived from a model-
Bordons Alba, Carlos, Ramos Cueli, José
core +1 more source
At present, the positioning control of the hydraulic support pushing systems in fully mechanized mining faces uses an electrohydraulic directional valve as the control component, while the current research mainly focuses on servo valves, proportional ...
Tengyan Hou +5 more
doaj +1 more source
Iterative Learning Control Based on Nesterov Accelerated Gradient Method
Based on Nesterov accelerated gradient method, the problem of iterative learning control for a class of linear discrete-time systems is considered in this paper.
Panpan Gu, Senping Tian, YangQuan Chen
doaj +1 more source
Iterative Learning Control — Monotonicity and Optimization [PDF]
Iterative Learning Control — Monotonicity and OptimizationThe area if Iterative Learning Control (ILC) has great potential for applications to systems with a naturally repetitive action where the transfer of data from repetition (trial or iteration) can lead to substantial improvements in tracking performance.
Owens, David H., Daley, Steve
openaire +2 more sources
Iterative learning control is an intelligent control algorithm which imitates human learning process. Based on this concept, this paper discussed iterative learning control problem for a class parabolic linear distributed parameter systems with ...
Xisheng Dai +3 more
doaj +1 more source
Constrained optimal control theory for differential linear repetitive processes
Differential repetitive processes are a distinct class of continuous-discrete two-dimensional linear systems of both systems theoretic and applications interest.
Dymkov M. P. +5 more
core +1 more source
Research on self-learning control method for aircraft engine above idle state
The iterative learning control for aircraft engine above idle state is studied. An approach combining the proportional integral iterative learning with the traditional proportional integral derivative controller is proposed and then this hybrid iterative
Bing Yu +3 more
doaj +1 more source
Discrete iterative learning controller
An effective discrete learning control method is proposed for improving the tracking performance of linear systems repeating the task from cycle to cycle. With this method, the current cycle data are intentionally introduced into the learning control law. Analysis of the convergence is conducted completely in the discrete-time domain.
Ma, L.Y.X., Low, T.S., Tso, S.K.
openaire +1 more source
The Functions and Practices of a Television Network [PDF]
An Iterative Learning Control disturbance rejection approach is considered and it is shown that iteration variant learning filters can asymptotically give the controlled variable zero error and zero variance.
Salant, Richard S. +2 more
core +3 more sources

