Frequency domain synthesis of optimal inputs for adaptive identification and controlThe input design problem of selecting appropriate inputs for use in SISO adaptive identification and model reference adaptive control algorithms is considered. Averaging theory is used to characterize the optimal inputs in the frequency domain. The design problem is formulated as an optimization problem which maximizes the smallest eigenvalue of the average information matrix over power constrained signals, and the global optimal solution is obtained using a convergent numerical algorithm. A bound on the frequency search range required in the design algorithm has been determined in terms of the desired performance.
Document ID
19880040089
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Fu, Li-Chen (California Univ. Berkeley, CA, United States)
Sastry, Shankar (California, University Berkeley, United States)