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Prof.
SHEN's Group
Distributed
Artificial Intelligence Laboratory, ERC-FCDE, MoE
School of Mathematics, Renmin
University of China
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Graduate Courses
1113700120136, Distributed Optimization, 2022 Spring, RUC, Teach Bldg 4106, Wed. 1-3, closed
1113700120129, Linear Systems, 2021 Fall, RUC, Teach Bldg 2405, Tues. 7-9, Master & PhD, closed
1113700120039, Study on Literature on Theory, 2021 Fall, RUC, Teach Bldg 2405, Tues. 1-3, PhD, closed
1113700120046 (D) 2113700120058 (M), Parallel Computation, 2021 Spring, RUC, Teach Bldg 4109, Thur. 11-13, closed
Undergradute Courses
21020777, Advanced Algebra I, 2022 Fall, RUC, Qiushi 0324, Mon. 1-2 & Wed. 3-4, in progress
21054746, Advanced Algebra II, 2022 Spring, RUC, Qiushi 0324, Tues. & Thur. 1-4, closed
2102091, Advanced Algebra A I, 2021 Fall, RUC, Teach Bldg 1205, Mon. 3-4 & Thur. 1-2, closed
21012575,
Freshman Seminar Course, 2021 Spring, RUC, Teach Bldg 2212, Mon. 7-8, closed
21024231, Advanced Algebra II, 2021 Spring, RUC, Class 02, Qiushi 0324, Wed. 1-2 & Fri. 3-4, closed
21022441,
Advanced Algebra I, 2020 Fall, RUC, Class 03, Qiushi 0224, Wed.
1-2 & Fri. 3-4, closed
21021248,
Advance Algebra
II, 2020 Spring, RUC, Class 03, Qiushi 0324, Mon. 1-2 &
Thur. 3-4, closed
Courses at Beijing
University of Chemical Technology, closed
EE511, Adaptive
Control, BUCT, Spring semester, 2014-2019, Graduate Course, closed
In this course,
the primary principle of two adaptive control methods are illustrated.
The first is model reference adaptive control (MRAC) and the other one
is self-tuning regulator (STR). The lecture notes for 2019 Spring
course are listed as follows.
Lecture 1:
Introduction
Lecture 2: Adaptive
Control with
all states
Lecture 3: Adaptive Control Using
only Input-Output Measurements
Lecture 4: Adaptive Control Using
only Input-Output Measurements: stability analysis
Material: Survey
on Kalman-Yakuborich-Popov Lemma
Material: Stability
Analysis for the Case n^\star>1
Lecture 5: Least
Square
Estimation
Lecture 6: Self-tuning Minimum
Variance Control
EEE34400C,
Principle of Automatic Control(II), BUCT, Fall semester, 2014-2018,
Undergraduate Course, closed
In this course, we
brief the modern control theory, especially state
space theory, sampled control theory, and nonlinear control. The
lecture notes for 2018 Fall course are listed as follows.
Lecture 01: State
Space Model for Linear Systems
Lecture 02: State
Analysis for Linear Time-invariant Systems
Lecture 03: Controllability
and Observability for Linear Time-invariant Systems
Lecture 04: State
Feedback and Pole Assignment for Linear Systems
Lecture 05: State
Observer
Lecture 06: Introduction
to Sampled Control Systems
Lecture 07: Signal
Sampling and Holding
Lecture 08: Z-transform
of Sampled Signals
Lecture 09: Mathematical
Model for Discrete-time Systems
Lecuter 10: Transforms
among Different Models for Sampled Systems
Lecture 11: Performance
Analysis of Sampled Systems
Lecture 12: Introduction
to Nonlinear Control Systems
Lecture 13: Describing
Function Method
Lecture 14: Phase-Plane
Method
Lecture 15: Lyapunov
Stability Theory