Title :
Supervisory control of families of linear set-point controllers. II. Robustness
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
The supervisory control system proposed in Part I is shown to be capable of controlling the set-point of an imprecisely modelled process in the face of constant disturbance inputs and norm bounded modeling errors of both the parametric and unmodelled dynamical types. It is also shown that the overall system cannot be destabilized by bounded exogenous disturbances and measurement noise be they constant signals or not
Keywords :
adaptive control; closed loop systems; linear systems; stability; state estimation; transfer functions; adaptive control; bounded exogenous disturbances; constant disturbance inputs; feedback; linear set-point controllers; linear systems; measurement noise; norm bounded modeling errors; stability; state estimation; supervisory control system; transfer function; Error correction; Estimation error; Linear systems; Noise level; Noise measurement; Output feedback; Robust control; Signal processing; Supervisory control; Transfer functions;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480393