Research Article
A Two-Step Global Maximum Error Controller-Based TPWL MOR with POD Basis Vectors and Its Applications to MEMS
Algorithm 2
Improved TPWL-GMEC method.
| (preliminary LP selection) | | (1) Given a training input and a threshold ; | | (2) Choose the initial state as the first LP candidate , and set ; | | (3) Simulate the nonlinear system (1) to obtain the state-set and select LP | | candidates: | | for | | Simulate the nonlinear system (1) to get the state and record it; | | if , then select as the th LP candidate , record | | the corresponding time instant , and set ; | | end for | | (secondary LP selection) | | (4) Given the maximum error limit ; | | (5) Select a set of states from the state-set of the nonlinear system; | | (6) Construct the POD projection matrix through applying the SVD algorithm | | to the set of states, that is, ; | | (7) Choose the first LP candidate as the first LP , and set ; | | (8) Built the current TPWL model; | | (9) Simulate the current TPWL model to get the responses ; | | (10) Find out the maximum error state : | | Set and | | for | | Compute ; | | if then , ; | | end for | | (11) if and has not been selected as a LP, then select the | | LP , set , and go to (); | | (12) if then return the selected LPs and end the loop. |
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