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Classical control typically deals with single-input single-output (SISO) systems using frequency domain tools. This means taking the Laplace transform of the equations of motion for the system (typically ordinary differential equations) and designing controllers based on performance specifications at low and high forcing frequencies.

Modern control is largely a result of the microprocessor, which allows large amounts of computation to be done cheaply. Modern control often deals with multiple-input multiple-output (MIMO) systems, and deals directly with the ordinary differential equations in the time domain. In modern control, we develop controllers that have good stability characteristics without using too much control (or actuation). There are a number of powerful tools from dynamical systems theory which allow us to find "optimal controllers", which are optimal with respect to some quadratic cost function.

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