Difference between revisions of "CDS 110b, Winter 2007 - Course Schedule"

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| Random Processes
 
| Random Processes
 
| rowspan=2 | Friedland, Ch 10
 
| rowspan=2 | Friedland, Ch 10
| rowspan=3 align=center |  {{cds110b-wi07 pdfs|hw2.pdf|HW 2}}
+
| rowspan=3 align=center |  {{cds110b-wi07 pdfs|hw2.pdf|HW 2}} {{cds110b-wi07 pdfs|cds110b_hw2sol.pdf|solns}}
 
|-
 
|-
 
| 10 Jan* (W)
 
| 10 Jan* (W)
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| Martin Luther King Holiday
 
| Martin Luther King Holiday
 
|  
 
|  
| rowspan=3 align=center | HW 3
+
| rowspan=3 align=center | {{cds110b-wi07 pdfs|hw3.pdf|HW #3}} {{cds110b-wi07 pdfs|cds110b_hw3sol.pdf|solns}}
 
|-
 
|-
 
| 17 Jan (W)
 
| 17 Jan (W)
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|-
 
|-
 
| 22 Jan (M)
 
| 22 Jan (M)
| Sensor Fusion via Kalman Filtering
+
| Discrete Time Kalman Filter
 
|  
 
|  
| rowspan=3 align=center | HW 4
+
| rowspan=3 align=center | {{cds110b-wi07 pdfs|hw4.pdf|HW #4}} {{cds110b-wi07 pdfs|cds110b_hw4sol.pdf|solns}}
 +
 
 
|-
 
|-
 
| 24 Jan (W)
 
| 24 Jan (W)
| Particle Filters
+
| Sensor Fusion via Kalman Filtering
 
|  
 
|  
 
|-
 
|-
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| colspan=4 |
 
| colspan=4 |
  
=====  [[CDS 110b: State Estimation Design Example|Design Example]]  =====
+
=====  [[CDS 110b: Nonlinear Estimation|Nonlinear, Non-Gaussian Extensions]]  =====
 
|-
 
|-
 
| 29 Jan (M)
 
| 29 Jan (M)
| Design example
+
| Moving horizon estimation and applications
 
|
 
|
| rowspan=3 align=center | Midterm
+
| rowspan=3 align=center | Midterm   [[:Image:Cds110b_midterm07SOL.pdf|solns]]
 
|-
 
|-
 
| 31 Jan* (W)
 
| 31 Jan* (W)
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| No class
 
| No class
 
|
 
|
| rowspan=3 align=center | HW 5
+
| rowspan=3 align=center | {{cds110b-wi07 pdfs|hw5.pdf|HW #5}} {{cds110b-wi07 pdfs|cds110b_hw5sol.pdf|solns}}
 +
 
 
|-
 
|-
 
| 7 Feb* (W)
 
| 7 Feb* (W)
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| colspan=4 |
 
| colspan=4 |
  
===== [[CDS 110b: Differential Flatness and Trajectory Generation|Differential Flatness and Trajectory Generation]] =====
+
===== [[CDS 110b: Two Degree of Freedom Control Design| Two Degree of Freedom Control Design]] =====
 
|-
 
|-
 
| 12 Feb (M)
 
| 12 Feb (M)
| Differential flatness
+
| Trajectory Tracking and Gain Scheduling
 
|
 
|
| rowspan=3 align=center | HW 6
+
| rowspan=3 align=center | {{cds110b-wi07 pdfs|hw6.pdf|HW #6}} {{cds110b-wi07 pdfs|cds110b_hw6sol.pdf|solns}}
 
|-
 
|-
 
| 14 Feb (W)
 
| 14 Feb (W)
| Real-time trajectory generation
+
| Differential Flatness
 
|  
 
|  
 
|-
 
|-
 
| 16 Feb (F)
 
| 16 Feb (F)
| Course project meeting
+
| Recitation
 
|  
 
|  
 
|-
 
|-
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| President's Day Holiday
 
| President's Day Holiday
 
|
 
|
| rowspan=3 align=center | HW 7
+
| rowspan=3 align=center | {{cds110b-wi07 pdfs|hw7.pdf|HW #7}}{{cds110b-wi07 pdfs|cds110b_hw7sol.pdf|solns}}
 
|-
 
|-
 
| 21 Feb (W)
 
| 21 Feb (W)
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| colspan=4 |
 
| colspan=4 |
  
===== [[CDS 110b: Networked Control Systems|Networked Control Systems]] =====
+
===== [[CDS 110b: Robust Stability|Robust Stability]] =====
 
|-
 
|-
 
| 26 Feb* (M)
 
| 26 Feb* (M)
| No class
+
| No class (recitation)
 
|
 
|
| rowspan=3 align=center | HW 8
+
| rowspan=3 align=center | {{cds110b-wi07 pdfs|hw8.pdf|HW #8}}{{cds110b-wi07 pdfs|cds110b_hw8sol.pdf|solns}}
 
|-
 
|-
 
| 28 Feb (W)
 
| 28 Feb (W)
| Networked control systems (NCS)
+
| Modeling Uncertainty
 
|  
 
|  
 
|-
 
|-
 
| 2 Mar (F)
 
| 2 Mar (F)
| NCS design considerations
+
| Robuts Stability
 
|  
 
|  
 
|-
 
|-
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| colspan=4 |
 
| colspan=4 |
  
===== [[CDS 110b: Optimal Control Design Example|Design Example]] =====
+
===== [[CDS 110b: Desgin Examples|Design Examples]] =====
 
|-
 
|-
 
| 5 Mar (M)
 
| 5 Mar (M)
| Alice: A Networked Control System for Autonomous Driving
+
| No class (recitation)
 
|  
 
|  
 
| rowspan=3 align=center | Final
 
| rowspan=3 align=center | Final
 
|-
 
|-
 
| 7 Mar (W)
 
| 7 Mar (W)
| Alice performance analysis
+
| Networked control for autonomous systems
 
|  
 
|  
 
|-
 
|-

Latest revision as of 15:31, 12 March 2007

WARNING: This page is for a previous year.
See current course homepage to find most recent page available.
CDS 110b Schedule Project FAQ Reading

This page contains the course schedule for CDS 110b. The bold links for each week take you to a page that contains the a summary of the lectures for that week plus links to all course handouts.

Week Date Topic Reading Homework
1
State Estimation
3 Jan (W) Course overview HW 1 solns
5 Jan (F) State estimation
2
Stochastic Systems
8 Jan (M) Random Processes Friedland, Ch 10 HW 2 solns
10 Jan* (W) Stochastic Systems
12 Jan (F) Course project meeting
3
Kalman Filters
15 Jan (M) Martin Luther King Holiday HW #3 solns
17 Jan (W) Kalman Filtering
19 Jan (F) Linear Quadratic Estimators
4
Sensor Fusion
22 Jan (M) Discrete Time Kalman Filter HW #4 solns
24 Jan (W) Sensor Fusion via Kalman Filtering
26 Jan (F) Course project meeting
5
Nonlinear, Non-Gaussian Extensions
29 Jan (M) Moving horizon estimation and applications Midterm solns
31 Jan* (W) Midterm exam review
2 Feb* (F) No class
6
Linear Quadratic Optimal Control
5 Feb* (M) No class HW #5 solns
7 Feb* (W) Maximum principle
9 Feb (F) Linear quadratic regulators
7
Two Degree of Freedom Control Design
12 Feb (M) Trajectory Tracking and Gain Scheduling HW #6 solns
14 Feb (W) Differential Flatness
16 Feb (F) Recitation
8
Receding Horizon Optimal Control
19 Feb (M) President's Day Holiday HW #7solns
21 Feb (W) RHC problem formulation
23 Feb (F) RHC design considerations
9
Robust Stability
26 Feb* (M) No class (recitation) HW #8solns
28 Feb (W) Modeling Uncertainty
2 Mar (F) Robuts Stability
10
Design Examples
5 Mar (M) No class (recitation) Final
7 Mar (W) Networked control for autonomous systems
8 Mar* (F) Final exam review