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Ioannou, Petros 2014-12-15T19:04:30Z 2014-12-15T19:04:30Z 10000-01-01 1983 1983 The robustness of model reference adaptive schemes with respect to unmodeled parasitics is analyzed. Bounds on parameter and state errors are established for identifiers and adaptive observers. In the case of adaptive control, algorithms are modified to guarantee boundedness. Decentralized adaptive control schemes guaranteeing the stability of a class of large-scale systems are proposed. Made available in DSpace on 2014-12-15T19:04:30Z (GMT). No. of bitstreams: 1 8309961.pdf: 3485982 bytes, checksum: 3677391fa8fcf60c1a575f8b5bfb498d (MD5) Previous issue date: 1983 Embargo set by: Seth Robbins for item 69415 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 148 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1983. http://hdl.handle.net/2142/69249 (UMI)AAI8309961 Engineering, Electronics and Electrical Robustness of Model Reference Adaptive Schemes With Respect to Modeling Errors text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.