International Journal of Control · 1994 · 72 citations · 35 references
Natural SciencesMathematicsDynamical SystemsProcess ControlUncertainty QuantificationControl SystemsControl TheoryController DesignNonlinear ControlRobust ControlStability TheoryAbsolute StabilityAbsolute Stability CriterionController SynthesisLyapunov FunctionsParameter UncertaintyParameter Uncertainty AnalysisReduced-order ControlRobust Control Of Uncertain Systems
Abstract In this paper we make explicit connections between classical absolute stability theory and modern mixed-μ analysis and synthesis. Specifically, using the parameter-dependent Lyapunov function framework of Haddad and Bernstein and the frequency dependent off-axis circle interpretation of How and Hall, we extend previous work on absolute stability theory for monotonic and odd monotonic nonlinearities to provide tight approximations for constant real parameter uncertainty. An immediate application of this framework is the generalization and reformulation of mixed-μ analysis and synthesis in terms of Lyapunov functions and Riccati equations. This observation is exploited to provide robust, reduced-order controller synthesis while avoiding the standard D, N - K iteration and curve-fitting procedures. Notes † This paper was presented at the 1992 IEEE Conference on Decision and Control.
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