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4篇 您的检索式：作者名="Thomas Parisini"

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		题名	作者	年代	出处	被引量
	1	Adaptive fault-tolerant control of nonlinear uncertain systems:an information-based diagnostic approach显示文摘	Zhang Xiaodong Thomas Parisini Polycarpou Marios M	2004	IEEE Transactions on Automatic Control2004，49，8：	1
	2	Identification of neural dynamic models for fault detection and isolation: the case of a real Sugar evaporation process 显示文摘	KRZYSZTOF Patan THOMAS Parisini	2005	Journal of Process Control2005，15，1：	1
	3	Distributed-information neural control: The case of dynamic routing in traffic networks显示文摘	Marco Baglietto Thomas Parisini Riccardo Zoppoli	2001	IEEE Trans on Neural Networks2001，12，3：	1
	4	Passive Attack Detection for a Class of Stealthy Intermittent Integrity Attacks显示文摘This paper proposes a passive methodology for detecting a class of stealthy intermittent integrity attacks in cyberphysical systems subject to process disturbances and measurement noise.A stealthy intermittent integrity attack strategy is first proposed by modifying a zero-dynamics attack model.The stealthiness of the generated attacks is rigorously investigated under the condition that the adversary does not know precisely the system state values.In order to help detect such attacks,a backward-in-time detection residual is proposed based on an equivalent quantity of the system state change,due to the attack,at a time prior to the attack occurrence time.A key characteristic of this residual is that its magnitude increases every time a new attack occurs.To estimate this unknown residual,an optimal fixed-point smoother is proposed by minimizing a piece-wise linear quadratic cost function with a set of specifically designed weighting matrices.The smoother design guarantees robustness with respect to process disturbances and measurement noise,and is also able to maintain sensitivity as time progresses to intermittent integrity attack by resetting the covariance matrix based on the weighting matrices.The adaptive threshold is designed based on the estimated backward-in-time residual,and the attack detectability analysis is rigorously investigated to characterize quantitatively the class of attacks that can be detected by the proposed methodology.Finally,a simulation example is used to demonstrate the effectiveness of the developed methodology.	Kangkang Zhang Christodoulos Keliris Thomas Parisini Bin Jiang Marios M.Polycarpou	2023	IEEE/CAA Journal of Automatica Sinica2023，10，4：	0

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