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作者：Zou, Lei; Wang, Zidong; Shen, Bo; Dong, Hongli
作者单位：Donghua University; Brunel University; Northeast Petroleum University
摘要：This article addresses the problem of secure recursive state estimation for a networked linear system, which may be vulnerable to interception of transmitted measurement data by eavesdroppers. To effectively protect information security, an encryption-decryption-based communication scheme can be used, but encrypting all the measurement data from sensors can result in significant computational costs. To address this issue, a partial-encryption-decryption (PED) mechanism is proposed to enhance i...
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作者：Han, Bingyan
作者单位：Hong Kong University of Science & Technology (Guangzhou)
摘要：This work presents a distributionally robust Kalman filter to address uncertainties in noise covariance matrices and predicted covariance estimates. We adopt a distributionally robust formulation using bicausal optimal transport to characterize a set of plausible alternative models. The optimization problem is transformed into a convex nonlinear semi-definite programming problem and solved using the trust-region interior point method with the aid of $LDL<^>\top$ decomposition. The empirical ou...
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作者：Rego, Francisco; Silvestre, Daniel
作者单位：Lusofona University; Universidade de Lisboa; Universidade de Coimbra
摘要：A central challenge with any reachability technique is the growth over time of the data structures that store the set-valued estimates. There are various techniques established for constrained zonotopes (CZs), although their computational complexity represents a limiting factor on the size of the set descriptions when running the methods in real time. Thus, when running a guaranteed state observer to estimate the state of a dynamical system using CZs, the number of generators and constraints h...
