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This lecture covers Lyapunov stability, focusing on globally asymptotic stability and the use of Lyapunov functions. It also delves into Chebyshev inequalities and semidefinite programming, showcasing how computational problems can be cast as convex optimization problems. The lecture emphasizes the importance of asserting stability properties of equilibriums and deriving safe predictions for system behaviors.
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