Teaching control theory to computing practitioners
Yixin Diao, Joseph L. Hellerstein, et al.
TDS 2006
Adaptive control for nonlinear time-varying systems is of both theoretical and practical importance. In this paper we present an adaptive control methodology for a class of non-linear systems with a time-varying structure where radial basis function neural networks are used as on-line approximators. This class of systems is composed of interpolations of nonlinear subsystems which are input-output feedback linearizable. Without assumptions on rate of change of system dynamics, a stable indirect adaptive control method is presented with analysis of stability for all signals in the closed-loop as well as asymptotic tracking. The performance of the controller is demonstrated using a jet engine control problem.
Yixin Diao, Joseph L. Hellerstein, et al.
TDS 2006
Yixin Diao, Joseph L. Hellerstein, et al.
ACC 2004
Yixin Diao, Joseph L. Hellerstein, et al.
IEEE ECS 2005
Yixin Diao, Kevin M. Passino
IEEE TCST