Accession Number : ADA182830
Title : Robustness in Feedback Systems.
Descriptive Note : Doctoral thesis,
Corporate Author : ILLINOIS UNIV AT URBANA DECISION AND CONTROL LAB
Personal Author(s) : Ting,Thomas L
PDF Url : ADA182830
Report Date : Jun 1987
Pagination or Media Count : 104
Abstract : The research in this thesis is motivated by the basic question 'What can and cannot be accomplished by feedback control?' In particular, three basic issues are addressed: a) Determining which types of controllers are optimal for certain classes of control problems; b) Investigating the absolute limitations of feedback control for multiobjectives; and c) Developing efficient methods for synthesizing robustly stabilizing controllers for families of plants featuring block-structed uncertainty. With regard to these issues the principal contributions are: as follows. First, it is shown that for the problem of robustly stabilizing a family of plants featuring dynamic uncertainty, linear time-invariant controllers perform as well as arbitrary nonlinear time-varying controllers. Second, a new controller synthesis procedure called residue iteration is developed for synthesizing robustly stabilizing controllers for families of plants featuring block-structured uncertainty. This method is simpler and numerically more attractive than any previously existing technique. Finally, an algorithm is presented which enables one to compute an absolute upper bound on the performance levels attainable in multiobjective H at infinity-optimization problems.
Descriptors : *FEEDBACK, *CONTROL THEORY, LIMITATIONS, CONTROL, CONTROL SYSTEMS, INVARIANCE, LINEAR SYSTEMS, TIME, ALGORITHMS, EFFICIENCY, SYNTHESIS, THESES, OPTIMIZATION
Subject Categories : Cybernetics
Electrical and Electronic Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE