Robust Fixed-Order Controller Design for Uncertain Systems with Generalized Common Lyapunov Strictly Positive Realness Characterization
Jun Ma, Haiyue Zhu, Xiaocong Li, Wenxin Wang, Clarence W. de Silva,, Tong Heng Lee

TL;DR
This paper presents a novel LMI-based method for designing robust fixed-order controllers for uncertain SISO systems, ensuring stability and performance with less computational effort and reduced conservatism.
Contribution
It introduces a generalized CL-SPRness framework that simplifies robust controller design by reducing the problem to five LMIs, avoiding vertex evaluations and enhancing performance precision.
Findings
Reduces computational complexity by using only five LMIs.
Provides necessary and sufficient conditions for finite frequency range performance.
Achieves less conservative robust control design.
Abstract
This paper investigates the design of a robust fixed-order controller for single-input-single-output (SISO) polytopic systems with interval uncertainties, with the aim that the closed-loop stability is appropriately ensured and the performance specifications on sensitivity shaping are conformed in a specific finite frequency range. Utilizing the notion of generalized common Lyapunov strictly positive realness (CL-SPRness), the equivalence between strictly positive realness (SPRness) and strictly bounded realness (SBRness) is established; and then the specifications on robust stability and performance are transformed into the SPRness of newly constructed systems and further characterized in the framework of linear matrix inequality (LMI) conditions. The proposed methodology avoids the tedious yet mandatory evaluations of the specifications on all vertices of the uncertain polytopic…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Neural Networks Stability and Synchronization · Matrix Theory and Algorithms
