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

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| Course overview | | Course overview | ||

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| rowspan=2 align=center | {{cds110b-wi07 pdfs|hw1.pdf|HW 1}} {{cds110b-wi07 pdfs| | | rowspan=2 align=center | {{cds110b-wi07 pdfs|hw1.pdf|HW 1}} {{cds110b-wi07 pdfs|cds110b_hw1sol.pdf|solns}} | ||

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| 5 Jan (F) | | 5 Jan (F) | ||

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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}} | ||

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| 10 Jan* (W) | | 10 Jan* (W) | ||

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| Martin Luther King Holiday | | Martin Luther King Holiday | ||

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| rowspan=3 align=center | HW 3 | | rowspan=3 align=center | {{cds110b-wi07 pdfs|hw3.pdf|HW #3}} {{cds110b-wi07 pdfs|cds110b_hw3sol.pdf|solns}} | ||

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| 17 Jan (W) | | 17 Jan (W) | ||

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| 22 Jan (M) | | 22 Jan (M) | ||

| | | Discrete Time Kalman Filter | ||

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| rowspan=3 align=center | HW 4 | | rowspan=3 align=center | {{cds110b-wi07 pdfs|hw4.pdf|HW #4}} {{cds110b-wi07 pdfs|cds110b_hw4sol.pdf|solns}} | ||

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| 24 Jan (W) | | 24 Jan (W) | ||

| | | Sensor Fusion via Kalman Filtering | ||

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| colspan=4 | | | colspan=4 | | ||

===== [[CDS 110b: | ===== [[CDS 110b: Nonlinear Estimation|Nonlinear, Non-Gaussian Extensions]] ===== | ||

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| 29 Jan (M) | | 29 Jan (M) | ||

| | | Moving horizon estimation and applications | ||

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| rowspan=3 align=center | Midterm | | rowspan=3 align=center | Midterm [[:Image:Cds110b_midterm07SOL.pdf|solns]] | ||

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| 31 Jan* (W) | | 31 Jan* (W) | ||

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| No class | | No class | ||

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| rowspan=3 align=center | HW 5 | | rowspan=3 align=center | {{cds110b-wi07 pdfs|hw5.pdf|HW #5}} {{cds110b-wi07 pdfs|cds110b_hw5sol.pdf|solns}} | ||

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| 7 Feb* (W) | | 7 Feb* (W) | ||

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| colspan=4 | | | colspan=4 | | ||

===== [[CDS 110b: | ===== [[CDS 110b: Two Degree of Freedom Control Design| Two Degree of Freedom Control Design]] ===== | ||

|- | |- | ||

| 12 Feb (M) | | 12 Feb (M) | ||

| | | 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) | ||

| | | Differential Flatness | ||

| | | | ||

|- | |- | ||

| 16 Feb (F) | | 16 Feb (F) | ||

| | | Recitation | ||

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| President's Day Holiday | | President's Day Holiday | ||

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| rowspan=3 align=center | HW 7 | | rowspan=3 align=center | {{cds110b-wi07 pdfs|hw7.pdf|HW #7}}{{cds110b-wi07 pdfs|cds110b_hw7sol.pdf|solns}} | ||

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| 21 Feb (W) | | 21 Feb (W) | ||

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| colspan=4 | | | colspan=4 | | ||

===== [[CDS 110b: | ===== [[CDS 110b: Robust Stability|Robust Stability]] ===== | ||

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| 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) | ||

| | | Modeling Uncertainty | ||

| | | | ||

|- | |- | ||

| 2 Mar (F) | | 2 Mar (F) | ||

| | | Robuts Stability | ||

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| colspan=4 | | | colspan=4 | | ||

===== [[CDS 110b: | ===== [[CDS 110b: Desgin Examples|Design Examples]] ===== | ||

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| 5 Mar (M) | | 5 Mar (M) | ||

| | | No class (recitation) | ||

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| rowspan=3 align=center | Final | | rowspan=3 align=center | Final | ||

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| 7 Mar (W) | | 7 Mar (W) | ||

| | | Networked control for autonomous systems | ||

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|- | |- |

## 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 | AM, Ch 6 | ||

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 |