S. S. Zhou

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This paper is concerned with constraints on learning quantifiers, particularly those cognitive on human learning and algorithmic on machine learning, and the resulting implications of those constraints on language identification. Previous experiments show that children attempting to differentiate quantifiers from numbers use a similar acquisition method for(More)
This paper presents an H∞ controller synthesis method for piecewise linear systems based on a piecewise smooth Lyapunov function. It is shown that the closed loop system is globally stable with guaranteed disturbance attenuation performance and the control law can be obtained by solving a set of Linear Matrix Inequalities (LMI) that is numerically feasible(More)
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