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We develop a methodology for anticipating(pre-tipping),detecting(tipping)and forecasting of tipping points in dynamical systems.Early warning signals are analyzed using lag-1 autocorrelations in sliding windows; detection is performed using potential analysis with potential contour plot; forecast is performed by extrapolation of dynamically derived Chebyshev coefficients of the approximation of the probability density.