State Estimator Design: Addressing General Delay Structures with Dissipative Constraints
Qian Feng, Feng Xiao, Xiaoyu Wang

TL;DR
This paper presents a novel dissipative estimator design for continuous-time delay systems with unlimited pointwise and distributed delays, utilizing Krasovski2f functionals and a new matrix function decomposition to avoid conservatism.
Contribution
It introduces the Kronecker-Seuret Decomposition for matrix-valued functions, enabling delay kernel factorization without conservatism, and formulates the estimator design as sequential convex SDP problems.
Findings
Successfully stabilizes systems with complex delay structures
Eliminates the need for nonlinear solvers in design process
Demonstrates effectiveness through numerical experiments
Abstract
Dissipative estimator (observer) design for continuous time-delay systems poses a significant challenge when an unlimited number of pointwise and general distributed delays (DDs) are concerned. We propose an effective solution to this semi-open problem using the Krasovski\u{\i} functional (KF) framework in conjunction with a quadratic supply rate function, where both the plant and the estimator can accommodate an unlimited number of pointwise and general distributed delays with an unlimited number of square-integrable kernels. A key contribution is the introduction of a control concept called Kronecker-Seuret Decomposition (KSD) for matrix-valued functions, which allows for the factorizations or approximations of any DD integral kernel without introducing conservatism. Moreover, using KSD facilitates the construction of complete-type KFs with integral kernels that can contain any number…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Neural Networks Stability and Synchronization
