نتایج جستجو برای: ILC
تعداد نتایج: 1967 فیلتر نتایج به سال:
In this paper, we address four major issues in the .eld of iterative learning control (ILC) theory and design. The .rst issue is concerned with ILC design in the presence of system interval uncertainties. Targeting at time-optimal (fastest convergence) and robustness properties concurrently, we formulate the ILC design into a min–max optimization problem and provide a systematic solution for li...
Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of invasive breast cancer. Here, we comprehensively profiled 817 breast tumors, including 127 ILC, 490 ductal (IDC), and 88 mixed IDC/ILC. Besides E-cadherin loss, the best known ILC genetic hallmark, we identified mutations targeting PTEN, TBX3, and FOXA1 as ILC enriched features. PTEN loss associated with increas...
We examine statistical isotropy of large scale anisotropies of the Internal Linear Combination (ILC) map, based on three year WMAP data. Our study reveals no significant deviation from statistical isotropy on large angular scales of 3-year ILC map. Comparing statistical isotropy of 3-year ILC map and 1-year ILC map, we find a significant improvement in 3-year ILC map which can be due to the gai...
In this paper we review the recent advances in three sub-areas of iterative learning control (ILC): 1) linear ILC for linear processes, 2) linear ILC for nonlinear processes which are global Lipschitz continuous (GLC), and 3) nonlinear ILC for general nonlinear processes. For linear processes, we focus on several basic configurations of linear ILC. For nonlinear processes with linear ILC, we co...
This paper presents iterative learning control (ILC) schemes for batch-varying references. Generally, reference or target trajectory must be identical for all iterations to implement the ILC. However, references can be changed in dynamic systems such as robotics and chemical processes according to cycle or batch. ILC schemes for batch-varying references are proposed in three forms which are inv...
Iterative learning control (ILC) is a simple and efficient solution to improve tracking accuracy for systems that execute repetitively the same tracing operation. For engineering applications of ILC, the main concern is the monotonic decay of tracking errors, in the sense of infinity norm or peak error, along the trials. Low cost in implementation and robustness in performance are also critical...
Among cases of breast carcinoma metastatic to the uterus, the percentage of these cases that are invasive lobular carcinoma (ILC) is higher than what may be expected when one considers the relative infrequency of ILC at the primary site. However, fewer than 10 cases of metastatic ILC of the breast detected in the cervical smear have been reported in the literature. Although several variants of ...
The goal of Iterative Learning Control ILC is to improve the accuracy of a system that repeatedly follows a reference trajectory This paper proves that for any causal ILC there is an equivalent feedback that achieves or approaches the ultimate ILC error with no iterations Remarkably this equivalent feedback depends only on the ILC operators and hence requires no plant knowledge This equivalence...
This paper presents Two-Dimensional (2-D) system analysis based Iterative Learning Control (ILC) methods for Linear Time-Variant (LTV) discrete systems with multiple time delays. Both the state delays and the input delays are considered in the ILC design. The ILC research strategy for LTV discrete systems with multiple time delays is to rescontruct the derived ILC error equations into the 2-D R...
Innate lymphoid cells (ILC) are a recently described group of tissue-resident immune cells that play essential roles in maintaining and protecting the tissue barrier against invading pathogens. Extensive research has revealed that ILC-mediated immune responses are controlled by dietary components and metabolites. An additional role of ILC as important direct regulators of host metabolism and gl...
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