Predictive Control with Robust Dead-time Compensation: Application to Drug Dosing during Anesthesia
نویسندگان
چکیده
This paper presents the application of predictive control to drug dosing during anesthesia in patients undergoing surgery. A single-input (Propofol) singleoutput (Bispectral index) model of the patient has been assumed which includes the variable dead time caused by the measurement of the Bispectral index. A set of 12 patient models were studied. Inter-patient variability, varying dead time and disturbances are used to assess robustness of the controller. Furthermore, the controller guarantees stability under the operation conditions. Simulation results illustrate the use of the proposed controller.
منابع مشابه
Development of RMPC Algorithm for Compensation of Uncertain Time-Delay and Disturbance in NCS
In this paper, a synthesis method based on robust model predictive control is developed for compensation of uncertain time-delays in networked control systems with bounded disturbance. The proposed method uses linear matrix inequalities and uncertainty polytope to model uncertain time-delays and system disturbances. The continuous system with time-delay is discretized using uncertainty po...
متن کاملImproving the stability of the power system based on static synchronous series compensation equipped with robust model predictive control
Low-frequency oscillations (LFO) imperil the stability of the power system and reduce the Capacity of transmission lines. In the power systems, FACTS devices and Power System stabilizers are used to improve the stability. Static synchronous series compensators is one of the most important FACTS devices. This paper investigates the damping of LFO with static synchronous series compensator (SSSC)...
متن کاملModelling and Compensation of uncertain time-delays in networked control systems with plant uncertainty using an Improved RMPC Method
Control systems with digital communication between sensors, controllers and actuators are called as Networked Control Systems (NCSs). In general, NCSs encounter with some problems such as packet dropouts and network induced delays. When plant uncertainty is added to the aforementioned problems, the design of the robust controller that is able to guarantee the stability, becomes more complex. In...
متن کاملDesigning Robust Finite-Time Nonlinear Torques for a n-DOF Robot Manipulator with Uncertainties, Sector and Dead-Zone Input Nonlinearities
In this paper, a complete dynamical model is presented for an uncertain -DOF robot manipulator containing description of sector and dead-zone input nonlinearities. Next, robust finite-time tracking problem of desired trajectories is declared and formulated for the aforementioned robot manipulator. By defining innovative nonlinear sliding manifolds and developing the nonsingular terminal sliding...
متن کاملA Linear Matrix Inequality (LMI) Approach to Robust Model Predictive Control (RMPC) Design in Nonlinear Uncertain Systems Subjected to Control Input Constraint
In this paper, a robust model predictive control (MPC) algorithm is addressed for nonlinear uncertain systems in presence of the control input constraint. For achieving this goal, firstly, the additive and polytopic uncertainties are formulated in the nonlinear uncertain systems. Then, the control policy can be demonstrated as a state feedback control law in order to minimize a given cost funct...
متن کامل