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nonlinear-systems

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In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience, this observer utilizes a nonlinear in parameter neural network (NLPNN) which unlike LPNN, supports systems with higher degree of nonlinearity with no pre-knowledge of its dynamics. The learning rule for this n…

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  • MATLAB

A long-form systems essay arguing that most metrics fail because they measure outcomes instead of accumulated pressure. It reframes collapse as a consequence of debt, buffer depletion, and delayed feedback, and explains why early warning depends on measuring pressure rather than predicting final events.

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(Formerly ZPRE-Implementation-6G). Repo demonstrates that adaptive interference cancellation fails - not due to insufficient model capacity - but due to the rate and structure of discontinuities in the signal.

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  • Python

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