• Corpus ID: 17873509

Linear Model Predictive Controller for Closed-Loop Control of Intravenous Anesthesia with Time Delay

@inproceedings{Ingole2013LinearMP,
  title={Linear Model Predictive Controller for Closed-Loop Control of Intravenous Anesthesia with Time Delay},
  author={Deepak D. Ingole and Dayaram N. Sonawane and Vihangkumar V. Naik and Divyesh Ginoya and Vedika V. Patki},
  year={2013}
}
8 Abstract—During intravenous anesthesia, anesthetic drugs must be administered at a suitable rate to prevent over dosing and under dosing in a patient. A developed PharmacokineticPharmacodynamic (PK/PD) model, which has been used to study the relationship between administered anesthetic dose and its effect on the patient in terms of hypnosis, is considered. In this paper, Linear Model Predictive Controller (LMPC) framework based on Active Set Method (ASM) with modified approach for closed loop… 
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16 Citations
Background Citations
5
Methods Citations
2

16 Citations

Adaptive smith predictor controller for total intravenous anesthesia automation

Simulation results indicate that patient’s drug sensitivity parameters based adaptive strategy facilitates optimal controller performance in most of the patients and provides better performance with less oscillation in spite of computation delay, surgical stimulations and patient variability.

[Regulation of hypnosis in Propofol anesthesia administration based on non-linear control strategy].

Offset-free hybrid model predictive control of bispectral index in anesthesia

This paper deals with the anesthesia control, using bispectral index (BIS) as a measure of the depth of anesthesia; controlled by hybrid model predictive control strategy. The piecewise affine (PWA)…

Control Law Design for Propofol Infusion to Regulate Depth of Hypnosis: A Nonlinear Control Strategy

This effort is envisioned to unleash the true capabilities of this nonlinear control technique for anesthesia systems used today in biomedical field, by employing a non linear control technique, backstepping, to track the desired hypnosis level of patients during surgery.

Safety enforcement in closed-loop anesthesia—A comparison study

A Review of Modern Control Strategies for Clinical Evaluation of Propofol Anesthesia Administration Employing Hypnosis Level Regulation

The proposed sliding mode control scheme can easily handle the nonlinearities and achieve an optimum hypnosis level as compared to linear control schemes, hence preventing mishaps such as underdosing and overdosing of anesthesia.

A Model Predictive Control with Fault Tolerance Concept to Regulate Hypnosis during Anesthesia

A model predictive control (MPC) with multivariable fault tolerance concept based design to regulate propofol dose is proposed and sensor fault and hemodynamic surgical disturbance is considered to evaluate the performance of control system.

Comparison of Two Nonlinear Control Strategies for Hypnosis Regulation

This research work focuses on the analysis of two nonlinear control techniques, i.e., sliding mode control and backstepping, to regulate depth of hypnosis of the patients during surgery.

Model Predictive Control and Its Role in Biomedical Therapeutic Automation: A Brief Review

It is found that much more research attention is required in the MPC-led automation of biomedical therapies to reduce the workload of medical personnel and in particular, many more investigations are required to explore theMPC-based automation of hyperthermia (cancer) and fibromyalgia therapies.

Model Predictive Control of DC Servomotor using Active Set Method

This paper presents the design and real-time hardware implementation of Active Set Method (ASM) based Linear Model Predictive Controller (MPC) for position control of DC Servomotor with Cholesky factorization based linear solver.

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