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Saksena, Vikram Raj 2014-12-15T19:04:24Z 2014-12-15T19:04:24Z 10000-01-01 1982 1982 The central theme of this thesis is multimodeling. It is concerned with modeling and control strategy interaction in a multimodel context. Realistic situations are studied, which allow the decision makers to use different simplified models of the system. Three different approaches to multimodeling are examined. Firstly, within the framework of multiparameter singular perturbations, we demonstrate the well-posedness of an a-priori selected multimodeling scheme, for a class of Nash and team problems. This establishes, in some sense, the "robustness" of this multimodeling scheme to a class of solution concepts and information patterns. Secondly, for a class of weakly-coupled Markov chains, we use a perturbational approach to develop an efficient algorithm for computing near-optimal incentive policies, which allows for multimodeling on the part of the decision makers. Finally, for a class of linear-quadratic problems, we use an input-output approach to restructure the problem, and choose appropriate admissible strategies which induce multimodel solutions. Made available in DSpace on 2014-12-15T19:04:24Z (GMT). No. of bitstreams: 1 8302979.pdf: 4815753 bytes, checksum: 652e0248187f8d1d85bfe4d31e9a1b9b (MD5) Previous issue date: 1982 Embargo set by: Seth Robbins for item 69410 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 184 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982. http://hdl.handle.net/2142/69244 (UMI)AAI8302979 Engineering, Electronics and Electrical Multimodel Design of Large Scale Systems With Multiple Decision Makers text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.