System Identification - 2017 Spring

Slides

No. 1: Chapter 1 [PPT]

No. 2: Chapter 2 [PPT]

No. 3: Chapter 3 [PPT]

Experiments

No. 1: Data [XLS]

No. 2: Requirement [DOC]

Reading Materials

No. 1: 胡泽宇、江嘉馨、徐萌、张洁
Nonlinear System Identification: An Effective Framework Based on the Karhunen–Loeve Transform [PDF]

No. 2: 徐啸捷、施泽丰、刘凯、孙誉
Recursive Least Squares Dictionary Learning Algorithm [PDF]

No. 3: 李玉曼、骆正权、吴庶宸、李侍珍
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted L1 Balls [PDF]

No. 4: 亓家鑫、杨媚怡、顾盼、王迪
Nonnegative Least-Mean-Square Algorithm [PDF]

No. 5: 宋紫棋、张欣为、朱禹睿、陈令安
Performance Analysis of L0 Norm Constraint Least Mean Square Algorithm [PDF]

No. 6: 李想、谭懿、曲凌钊、赖泽锋
DCD-RLS Adaptive Filters With Penalties for Sparse Identification [PDF]

No. 7: 赵宇澄、陈玉珊、程子霖、陈善辉
PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations [PDF]

No. 8: 黄昀辉、曾开文、韦应栋、朱志广
Adaptive Identification and Recovery of Jointly Sparse Vectors [PDF]

No. 9: 陆书文、吕文怡、罗帷韬、乎阿勒什
Deterministic Blind Identification of IIR Systems With Output-Switching Operations [PDF]

No. 10: 马元懿、孙凯旋、郑铮铠、马福龙
A Recursive Restricted Total Least-Squares Algorithm [PDF]

No. 11: 杨永钰、吴昊泽、周承港、张凯玮
An Online Parallel Algorithm for Recursive Estimation of Sparse Signals [PDF]

No. 12: 艾启明、王航、何飞、余岸
Recursive Identification Method for Piecewise ARX Models: A Sparse Estimation Approach [PDF]

No. 13: 毛怡然、林娜、吴江梆、邓浩煜
Adaptive Least Mean Squares Estimation of Graph Signals [PDF]

No. 14: 董智桥、尹舰、刘哲强、李梦晗
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares [PDF]

No. 15: 魏晨、温健伯、吾那尔、李涛
Hankel Matrix Rank Minimization with Applications to System Identification and Realization [PDF]

No. 16: 林庆华、曹恩铭、刘珂华、陈通
Input Design in Worst-Case System Identification with Quantized Measurements [PDF]

No. 17: 刘子腾、李志强、王子航、许高武
A New Kernel-Based Approach for Linear System Identification [PDF]

Requirements

No. 1. 每组两位同学作报告,每位同学的报告时间为8-10分钟。

No. 2. 每份ppt的页数不超过总报告时间(分钟)×1.2。

No. 3. 务必讲清楚:所研究的问题、相关的研究工作、解决问题的思路、算法的效果、未来的研究方向。