where a, b, and c are numerical constants and c is not equal to zero. Note that if c were zero, the function would be linear. An advantage of this notation is that it can easily be generalized by ...

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Abstract: This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems ...

Lyapunov Function,Class Of Systems,Control Input,Global Stability,Hybrid System,Linear Matrix Inequalities,Linear System,Quadratic Function,Quadratic Lyapunov ...

The activation function in neural networks serves to introduce non-linearity into the output of a neuron, allowing the network to learn complex patterns and relationships in the data. It determines ...