A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery
Closed loop anesthesia delivery (CLAD) systems can help anesthesiologists efficiently achieve and maintain desired anesthetic depth over an extended period of time. A typical CLAD system would use an anesthetic marker, calculated from physiological signals, as real-time feedback to adjust anesthetic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/138184 |
| _version_ | 1811068347325874176 |
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| author | Chakravarty, Sourish Waite, Ayan S Abel, John H Brown, Emery N |
| author2 | Picower Institute for Learning and Memory |
| author_facet | Picower Institute for Learning and Memory Chakravarty, Sourish Waite, Ayan S Abel, John H Brown, Emery N |
| author_sort | Chakravarty, Sourish |
| collection | MIT |
| description | Closed loop anesthesia delivery (CLAD) systems can help anesthesiologists efficiently achieve and maintain desired anesthetic depth over an extended period of time. A typical CLAD system would use an anesthetic marker, calculated from physiological signals, as real-time feedback to adjust anesthetic dosage towards achieving a desired set-point of the marker. Since control strategies for CLAD vary across the systems reported in recent literature, a comparative analysis of common control strategies can be useful. For a nonlinear plant model based on well-established models of compartmental pharmacokinetics and sigmoid-Emax pharmacodynamics, we numerically analyze the set-point tracking performance of three output-feedback linear control strategies: proportional-integral-derivative (PID) control, linear quadratic Gaussian (LQG) control, and an LQG with integral action (ILQG). Specifically, we numerically simulate multiple CLAD sessions for the scenario where the plant model parameters are unavailable for a patient and the controller is designed based on a nominal model and controller gains are held constant throughout a session. Based on the numerical analyses performed here, conditioned on our choice of model and controllers, we infer that in terms of accuracy and bias PID control performs better than ILQG which in turn performs better than LQG. In the case of noisy observations, ILQG can be tuned to provide a smoother infusion rate while achieving comparable steady state response with respect to PID. The numerical analysis framework and findings reported here can help CLAD developers in their choice of control strategies. This paper may also serve as a tutorial paper for teaching control theory for CLAD. |
| first_indexed | 2024-09-23T07:54:40Z |
| format | Article |
| id | mit-1721.1/138184 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T07:54:40Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1381842024-03-19T13:56:44Z A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery Chakravarty, Sourish Waite, Ayan S Abel, John H Brown, Emery N Picower Institute for Learning and Memory Massachusetts Institute of Technology. Institute for Medical Engineering & Science Closed loop anesthesia delivery (CLAD) systems can help anesthesiologists efficiently achieve and maintain desired anesthetic depth over an extended period of time. A typical CLAD system would use an anesthetic marker, calculated from physiological signals, as real-time feedback to adjust anesthetic dosage towards achieving a desired set-point of the marker. Since control strategies for CLAD vary across the systems reported in recent literature, a comparative analysis of common control strategies can be useful. For a nonlinear plant model based on well-established models of compartmental pharmacokinetics and sigmoid-Emax pharmacodynamics, we numerically analyze the set-point tracking performance of three output-feedback linear control strategies: proportional-integral-derivative (PID) control, linear quadratic Gaussian (LQG) control, and an LQG with integral action (ILQG). Specifically, we numerically simulate multiple CLAD sessions for the scenario where the plant model parameters are unavailable for a patient and the controller is designed based on a nominal model and controller gains are held constant throughout a session. Based on the numerical analyses performed here, conditioned on our choice of model and controllers, we infer that in terms of accuracy and bias PID control performs better than ILQG which in turn performs better than LQG. In the case of noisy observations, ILQG can be tuned to provide a smoother infusion rate while achieving comparable steady state response with respect to PID. The numerical analysis framework and findings reported here can help CLAD developers in their choice of control strategies. This paper may also serve as a tutorial paper for teaching control theory for CLAD. 2021-11-22T16:46:19Z 2021-11-22T16:46:19Z 2020 2021-11-22T16:43:28Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/138184 Chakravarty, Sourish, Waite, Ayan S, Abel, John H and Brown, Emery N. 2020. "A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery." IFAC-PapersOnLine, 53 (2). en 10.1016/J.IFACOL.2020.12.369 IFAC-PapersOnLine Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Elsevier |
| spellingShingle | Chakravarty, Sourish Waite, Ayan S Abel, John H Brown, Emery N A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery |
| title | A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery |
| title_full | A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery |
| title_fullStr | A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery |
| title_full_unstemmed | A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery |
| title_short | A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery |
| title_sort | simulation based comparative analysis of pid and lqg control for closed loop anesthesia delivery |
| url | https://hdl.handle.net/1721.1/138184 |
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