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This lecture introduces state-space control design as a more general and versatile approach compared to the transfer function form. It covers the state-feedback design, state observer, and the combination of both for dynamic control. The lecture also discusses the application of state-space representation to capture nonlinear systems, optimal control, and system safety considerations. Additionally, it touches on the concept of linearization for generating linear state-space equations from nonlinear ODEs.