**ME 697Y Assignment Problem Sets (Spring 2018)**

Note: All files are in Word or pdf format.

Homework 1: Due

Project 1: (in-class presentation on 2/15/2018): Choose the one that has not been selected.

- ANFIS: Luke Kaiser
- FFNN using BP training: Woo Jae Lee
- FFNN using GA: Mehdi Jokar
- RBFN using LS: Luke Kaiser
- RBFN using OLS: Abishek Murali
- RBFN using OLSGA:
- FBFN using ALS: Matt Triebe
- FBFN using OLS: Justin Mansell
- Recurrent neural networks or back propagation in time: Paul Witsberger
- Comparison between two networks:

Topic 1 and 4 must be done together.

Project 2: (in-class presentation on 3/8/2018):

- Genetic algorithm: Matt Triebe
- Evolutionary Strategies (mu, lambda): Paul Witsberger
- Evolutionary Strategies (mu + lambda): Abishek Murali
- Extended ES: Mehdi Jokar
- PSO: Justin Mansell
- Support Vector Machines: Luke Kaiser
- Comparison between two optimization methods: Wo Jae Lee

Project 3: (in-class presentation on 4/5/2018):

- Model reference control using neural networks: Luke Kaiser
- Inverse control using neural networks and fuzzy logic
- Model predictive control using neural (or fuzzy) networks: Mehdi Jokar
- Self tuning adaptive control using neural networks: Wo Jae Lee
- Fuzzy PID supervisory control of robot arms: Abishek Murali
- Fuzzy PID supervisory control of laser sailing spacecraft: Justin Mansell
- Hybrid fuzzy control: Matt Triebe
- Fuzzy model reference learning control: Paul Witsberger
- Fuzzy internal model control
- Fuzzy model optimal control
- Self organizing fuzzy PID control

Presentation Outline

1. Problem definition (with mathematical function or real data)

2. Training results

3. Test results

4. Graphical approximation results (compared with the original function) if possible

5. Conclusions

Items to be submitted

1. Presentation slides (power point slides)

2. Programs (in zipped format) with the instruction on how to run the programs

**Final Term Project**

- Proposal due date: March 28, 2018
- Topic: your choice (can be an extension of earlier work, combination of multiple, a new one)
- In-class presentation: April 24 and 26 (15-20 min per person)
- Due date (program and final report): 5:00 pm on April 27.

See the guideline of the final report.