A functional equations approach to nonlinear discrete-time feedback stabilization through pole-placement

The present work proposes a new approach to the nonlinear discrete-time fee dback stabilization problem with pole-placement. The problem's formulation is realized through a system of nonlinear functional equations and a rather general set of necessary and sufficient conditions for solvability is deri ved. Using tools from functional equations theory, one can prove that the s olution to the above system of nonlinear functional equations is locally an alytic, and an easily programmable series solution method can be developed. Under a simultaneous implementation of a nonlinear coordinate transformati on and a nonlinear discrete-time state feedback control law that are both c omputed through the solution of the system of nonlinear functional equation s, the feedback stabilization with pole-placement design objective can be a ttained under rather general conditions. The key idea of the proposed singl e-step design approach is to bypass the intermediate step of transforming t he original system into a linear controllable one with an external referenc e input associated with the classical exact feedback linearization approach . However, since the proposed method does not involve an external reference input, it cannot meet other control objectives such as trajectory tracking and model matching. (C) 2001 Elsevier Science B.V. All rights reserved.