| 摘要 |
A control design as shown (figure 3C) having a set of linearized differential equations which are computed based on data from identification (340 of figure 3A). At step (351), a high order model is developed, at step (355), model reduction is performed by computing an approximate model of the higher order model, of step (351), with a fewer number of states than the high order model which may provide an estimate of errors due to the approximation. At step (356), estimator controller or controller synthesis may be performed including computing an estimator and/or controller that optimizes certain properties such as norm of the closed loop system. At step (357), the high order model is evaluated by computing multivariable frequency responses, step responses, responses to stochastic noise processes, eigenvalues, and/or measures of robustness for the closed loop system consisting of the high order model and the synthesized estimator controller or controller. |
