In this episode we interview Professor Matthew Turner, professor in the Cyber Physical Systems group at the university of Southampton, about his fascinating work on aircraft control, anti-windup, Lur’e systems, and his recent research into applying techniques from control theory to the analysis of neural networks. Contact me at: lgh1g19@soton.ac.uk We have an Instagram now! References: PhD ThesisNational Research Council of Canada Aerospace Research CentreNonlinear High Gain FeedbackLMIs in ControlAW for Model-Reference Adaptive ControlAW for ILCAnti-Windup ReviewTwo-Stage Anti-WindupAnti-Windup in Anticipation of Saturation (Zongli Lin)Matt TurnerChris RichardsAizerman ConjectureIan PostlethwaiteJorge SofronyMurray KerrOliver BriegerCircle and Popov CriterionKhalil Nonlinear Control BookZames and Sakkary Gap Metric PaperGeorge ZamesZames-Falb Multipliers Summary ArticleO’ShearZames-Falb Multipliers: Don’t PanicEarly Neural Network Work (with Guido Hermann)Additional NN ResearchRoss DrummondReLU Network Analysis Using Lur’e SystemsAntonis PapachristodolouExploiting Sparsity in Neural NetworksRobust Control PaperMalcolm SmithGlenn Vinnicombe Other cool neural network/ control papers Synthesis of MPC Algorithms that Robustly Approximate Neural NetworksShrinking Down Neural Networks Using Inspiration from ControlDesigning Neural Networks that are More Robust