Originally Posted by

**atlove** So, z(k) is measured from the system.

If i use the esitmation of state (x1...x5) to find the z (x6) by z=Hx+v. What is the meaning of this z? Is it the optimal estiamtion of z (x6) and more accurate than the measure one?

CaptainBlack, I have got some new information from my consultant.

1. Five variables can be adjusted by the student using rheostats and they are:

Condensing water temperature into chiller, adjustable between 20C to 30C

Condensing water flow into chiller, adjustable between 50 l/s to 80 l/s

Chilled water temperature into chiller, adjustable between 10C to 16C

Chilled water temperature out of chiller, adjustable between 6C to 9C

Chilled water flow, adjustable btween 40 l/s to 70 l/s

2. Then, the simulator can calculate the power consumption real-time.

3. All these six variables will be available on a 10-second frequency on the NAE so that the student can read them continuously.

4. The student's job is to predict the power consumption continuously by using techniques in Kalam Filtering.

5. The way of calculating the power consumption inside our NAE will be confidential.

6. The student is considered doing a great job by tracing the power consumption closely with the value from our simulator.

Suggest the student use a moving window of say 10 minutes, i.e. 60 sets of data. During these 10 minutes, he should adjust the five parameters slightly to have a wider dynamical span. Then, he starts to trace the power consumption from the 61st set of data onwards. **With 2-61st sets of date, he can then predict the power consumption of the 62nd set of data.**

P.S. The simulator is a software used to get value of parameters.

NAE is a control unit so that i can get the information by my computer through this unit.

One thing i don't understand, Why 2-61st sets of date data are necessary to predict the power consumption? Kalman filtering told that we just need the previous estimation of state (t=k-1) and measurement at this instant (t=k) to predict the new estimation of state.