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System analysis via integral quadratic constraints

IEEE Transactions on Automatic Control · 1997 · Vol. 42(6) · pp. 819–830
Alexandre MegretskiAnders Rantzer

Abstract

This paper introduces a unified approach to robustness analysis with respect to nonlinearities, time variations, and uncertain parameters. From an original idea by Yakubovich (1967), the approach has been developed under a combination of influences from the Western and Russian traditions of control theory. It is shown how a complex system can be described, using integral quadratic constraints (IQC) for its elementary components. A stability theorem for systems described by IQCs is presented that covers classical passivity/dissipativity arguments but simplifies the use of multipliers and the treatment of causality. A systematic computational approach is described, and relations to other methods of stability analysis are discussed. Last, but not least, the paper contains a summarizing list of IQCs for important types of system components.

Stability and Control of Uncertain SystemsControl and Stability of Dynamical SystemsAdvanced Control Systems OptimizationPassivityRobustness (evolution)Quadratic equationControl theory (sociology)Causality (physics)Stability (learning theory)MathematicsComputer scienceMathematical optimizationApplied mathematics
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