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Environmentally Conscious Design & Manufacturing. Class 26: Data Dependent Systems. Prof. S. M. Pandit. Autoregressive Model - AR(1). AR(1) model:. Estimation of parameters:. Checks of Adequacy. To check the dependence of a t on a t-1. Prediction or Forecasting.
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Environmentally Conscious Design & Manufacturing Class26: Data Dependent Systems Prof. S. M. Pandit
Autoregressive Model - AR(1) AR(1) model: Estimation of parameters:
Checks of Adequacy To check the dependence of at on at-1
Prediction or Forecasting One step ahead prediction at time t-1: One step ahead prediction error: Conditional distribution: The probability limits (e.g. 95 %):
Autoregressive Model - AR(2) AR(2) model: or
Estimate of Parameters Use the collected data: Then,
Estimate of Parameters (cont.) The conditional least square estimates of The conditional least square estimates of
Extension of AR (2) In practice, it is enough to use AR model in many applications. The AR model can also be extended to multiple inputs single output. For one input- one output, model takes the form In general form:
Estimates of Parameters Use the collected data: The conditional least square estimates of
Estimates of Parameters (cont.) Use the collected data:
Estimates of Parameters (cont.) The conditional least square estimates of
Example A model fitted to the data of system A for the purpose of developing a maintenance strategy is given below. where X2t is the measured pH and X1t is the caustic added. a). Express the model in transfer function form
b). Show a block diagram of the system including the above transfer functions? c). Determine the ratio of steady state output to steady state input. d). Given the following observations, determine the 95% probability limit on the 5th observation.
Backshift Operator Backshift operator is defined by In general,
Transfer Function Using B operator It follows
Block Diagram a2t X1t X2t
Steady State When a system reaches a STEADY state, EX2t=EX2t-1=…=EX2t-n=say X2s and EX1t=EX1t-1=…=EX1t-n=say X1s i.e. B=1, and Eat=0 since at has zero mean.Therefore, taking the mean or expectation on both sides the model becomes i.e., same as obtained before substituting B=1 in the transfer function.
Prediction The prediction of X2t at t=5 is given by
Probability Interval 95% probability interval on the observation That is
How to decide n? Increase n until does not reduce significantly.