  A learning control system is presented suitable for control affine nonlinear
plants based on discrete-time Chen-Fliess series and capable of incorporating
knowledge of a given physical model. The underlying noncommutative algebraic
and combinatorial structures needed to realize the multivariable case are also
described. The method is demonstrated using a two-input, two-output
Lotka-Volterra system.
