A Generalized Passivity Theory over Abstract Time Domains

IEEE Transactions on Automatic Control(2024)

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摘要
Passivity is a well-established concept for continuous-time systems. Yet, its application to discrete-time, delay, or other classes of systems is somewhat limited, leading to inconsistencies and disparities. In this article, we study a new notion, $\varrho$ -passivity, that reduces to standard passivity in the continuous-time case but addresses some of the aforementioned limitations when applied to other classes of systems. In particular, in an abstract input-output setting, we show that $\varrho$ -passivity is preserved under a class of interconnections, thereby extending the existing passivity results. Moreover, we explore the relationship between $\varrho$ -passivity and stability, and we derive sufficient conditions for high-gain, low-gain, and causal stabilizability by static output feedback. Finally, in contrast to the standard passivity notion, we prove that $\varrho$ -passivity is preserved under sampling for a class of nonlinear systems and discretization methods. Overall, the results of this article constitute the first step towards a unifying passivity theory embracing all the different domains and systems classes relevant to systems and control theory.
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关键词
Passivity,Input-output systems,Output-feedback stabilization,High-gain stabilization,Low-gain stabilization,Sampled-data systems
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