European Control Conference 1995: Volume 3a

adaptive algorithm applied approach assume assumption asymptotically behavior bounded closed-loop computed condition consider constraints continuous control law control problem Control Systems corresponding defined definite denotes density derived described differential discrete-time disturbance dynamics equation estimate example exists feedback Figure filter finite function gain given hence holds inequality initial input introduced Italy known Lemma limit linear linear systems matrix means measurement method minimal nonlinear nonlinear systems Note observation obtained operator optimal output parameters performance periodic plant polynomial positive possible predictive control presented problem proof properties prove realization reference relative respectively Riccati robot robust satisfies sequence shown signal solution solve space stability step stochastic structure sufficient Theorem theory time-varying tion tracking trajectory uncertainty University values variables vector zero