Abstract
Model reduction problem was investigated for singular systems. To solve the problem, the covariance for singular systems was defined. Then, a model reduction method based on covariance approximation was presented for obtaining stable and impulse controllable models for singular systems. Thirdly, the error criterion was explicitly derived via a free parameter and the optimization procedure was presented in terms of gradient flow. Finally, illustrative examples were given to show the effectiveness of the proposed approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have