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Titlebook: Symplectic Pseudospectral Methods for Optimal Control; Theory and Applicati Xinwei Wang,Jie Liu,Haijun Peng Book 2021 The Editor(s) (if app

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Model Predictive Control: From Open-Loop to Closed-Loop,ion problem is not well formulated or subjected to too many complex constraints. Hence, the bottleneck that limits the application of MPC in practice is its online computational efficiency. In this chapter, we will take the SPM developed in Chap. 5 as the core solver to construct the symplectic pseudospectral MPC.
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Xinwei Wang,Jie Liu,Haijun Pengns. In a nutshell, clean (or less noisy) traces may not be available to an attacker, but similar traces that are . to attack may be obtainable. Availability of such traces can be leveraged to learn how to translate . traces to . ones to increase attackability.
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Xinwei Wang,Jie Liu,Haijun Peng show that the amount of traces required to fully recover the undisclosed components are relatively small, hence the possibility of a side-channel attack remains as a practical threat. The results apply to both 8-bit and 32-bit architectures and were validated on two common microcontroller platforms
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Xinwei Wang,Jie Liu,Haijun Pengle .-tuples – before applying the usual univariate distinguishers. This has a computational complexity which is exponential in the order . of the masking scheme. In this paper, we propose a new distinguisher based on Kernel Discriminant Analysis (KDA) which directly exploits properties of the mask i
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