EVALUATION OF A LONG-RANGE ADAPTIVE PREDICTIVE CONTROLLER FOR COMPUTERIZED DRUG DELIVERY SYSTEMS

Autor: K.E. Kwok, Barry A. Finegan, S.L. Shah, A.S. Clanachan
Rok vydání: 1993
Předmět:
DOI: 10.1016/b978-0-08-041717-2.50057-4
Popis: A closed-loop control system based on the generalized predictive control law with terminal matching condition has been developed for computerized drug delivery. The control law is a minimization of the squares of prediction errors over a small future prediction horizon plus weighted square of the prediction error at steady-state. A control-relevant, long-range identification algorithm is used for on-line parameter estimation. Since the control and identification are mutually compatible, the system truly satisfies the approximate dual control criterion. The system has been applied to the control of mean arterial pressure by automatic infusion of sodium nitroprusside. Experimental evaluation on six mongrel dogs, in an ethics-approved manner, included setpoint tracking and regulation of MAP in the presence of unpredictable disturbances. A series of disturbances introduced in the presence and absence of closed-loop control affirms the robustness and effectiveness of this control system.
Databáze: OpenAIRE