This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Sixty-nine researchers, from nine countries, participated. Twelve keynote essays give an overview of the field and speculate on future directions and nineteen technical papers delineate the state of the art in the field. This book serves both as in introduction to the topic and as a reference on the current technical problems and approaches.
Identification and Robust Control.- A Worst Case Identification Method Using Time Series Data.- Input-Output Extrapolation-Minimization Theorem and Its Application to Model Validation and Robust Identification.- Asymptotic Worst-Case Identification with Bounded Noise. On Line Model Uncertainty Quantification: Hard Upper Bounds and Convergence.- Estimation for Robust Control.- Non-Vanishing Model Errors. Iterative Identification and Control Design: A Worked Out Example.- Identification of Ill-Conditioned Plants.- A Benchmark Problem.
Series: Lecture Notes in Control and Information Sciences
Number Of Pages: 396
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: GB
Dimensions (cm): 23.39 x 15.6
Weight (kg): 0.58