Figure 1.
Graphics $ v(t, 0) $ (left), $ v(t, x) $ (center), $ n $ , $ m $ , $ h $ (right) for $ v_0 = 4.82 $ , $ v^* = 0 $ , $ \rho = 0 $
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December
2019, 8(4): 883-902.
doi: 10.3934/eect.2019043
Sliding mode control of the Hodgkin–Huxley mathematical model
| 1. | Dipartimento di Matematica "F. Enriques", Università degli Studi di Milano, Via C. Saldini 50, 20133 Milano, Italy |
| 2. | "Gheorghe Mihoc-Caius Iacob" Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Calea 13 Septembrie 13, Bucharest, Romania |
| 3. | Research Group of the Project PN-Ⅲ-P4-ID-PCE-2016-0372, Simion Stoilow Institute of Mathematics of the Romanian Academy, Bucharest, Romania |
| 4. | Istituto di Matematica Applicata e Tecnologie Informatiche "E. Magenes", CNR, Via Ferrata 1, 27100 Pavia, Italy |
In this paper we deal with a feedback control design for the action potential of a neuronal membrane in relation with the non-linear dynamics of the Hodgkin-Huxley mathematical model. More exactly, by using an external current as a control expressed by a relay graph in the equation of the potential, we aim at forcing it to reach a certain manifold in finite time and to slide on it after that. From the mathematical point of view we solve a system involving a parabolic differential inclusion and three nonlinear differential equations via an approximating technique and a fixed point result. The existence of the sliding mode and the determination of the time at which the potential reaches the prescribed manifold are proved by a maximum principle argument. Numerical simulations are presented.
Keywords:
Hodgkin–Huxley model,
sliding mode control,
feedback stabilization,
nonlinear parabolic equations,
reaction-diffusion systems.
Mathematics Subject Classification:
Primary: 35K55, 35K57, 35Q92; Secondary: 93B52, 92C30.
Citation:
Cecilia Cavaterra, Denis Enăchescu, Gabriela Marinoschi. Sliding mode control of the Hodgkin–Huxley mathematical model. Evolution Equations and Control Theory,
2019, 8
(4)
: 883-902.
doi: 10.3934/eect.2019043
![]()
References:
| [1] |
V. Barbu, Nonlinear Differential Equations of Monotone Type in Banach Spaces, Springer, New York, 2010.
doi: 10.1007/978-1-4419-5542-5. |
| [2] |
V. Barbu, P. Colli, G. Gilardi, G. Marinoschi and E. Rocca,
Sliding mode control for a nonlinear phase-field system, SIAM J. Control Optim., 55 (2017), 2108-2133.
doi: 10.1137/15M102424X. |
| [3] |
E. N. Best,
Null space in the Hodgkin-Huxley equations, A critical test, Biophys. J., 27 (1979), 87-104.
doi: 10.1016/S0006-3495(79)85204-2. |
| [4] |
C. Cavaterra and M. Grasselli,
Robust exponential attractors for singularly perturbed Hodgkin-Huxley equations, J. Differential Equations, 246 (2009), 4670-4701.
doi: 10.1016/j.jde.2008.12.025. |
| [5] |
F. R. Chavarette, J. M. Balthazar, M. Rafikov and H. A. Hermini,
On non-linear dynamics and an optimal control synthesis of the action potential of membranes (ideal and non-ideal cases) of the Hodgkin-Huxley (HH) mathematical model, Chaos, Solitons and Fractals, 39 (2009), 1651-1666.
doi: 10.1016/j.chaos.2007.06.016. |
| [6] |
Y. Che, J. Wang, B. Deng, X. Wei and C. Han,
Bifurcations in the hodgkin–huxley model exposed to DC electric fields, Neurocomputing, 81 (2012), 41-48.
doi: 10.1016/j.neucom.2011.11.019. |
| [7] |
Y. Che, B. Liu, H. Li, M. Lu, J. Wang and X. Wei,
Robust stabilization control of bifurcations in Hodgkin-Huxley model with aid of unscented Kalman filter, Chaos, Solitons and Fractals, 101 (2017), 92-99.
doi: 10.1016/j.chaos.2017.04.045. |
| [8] |
P. Colli, M. Colturato, Global existence for a singular phase field system related to a sliding mode control problem, Nonlinear Anal. Real World Appl. 41 (2018), 128-151.
doi: 10.1016/j.nonrwa.2017.10.011. |
| [9] |
P. Colli, G. Gilardi, G. Marinoschi and E. Rocca,
Sliding mode control for phase field system related to tumor growth, Appl. Math.Optimiz., 79 (2019), 647-670.
doi: 10.1007/s00245-017-9451-z. |
| [10] |
J. Cronin, Mathematical Aspects of Hodgkin-Huxley Neural Theory, Cambridge Univ. Press, Cambridge, 1987.
doi: 10.1017/CBO9780511983955.
|
| [11] |
J. R. Dormand and P. J. Prince,
A family of embedded Runge-Kutta formulae, J. Comp. Appl. Math., 6 (1980), 19-26.
doi: 10.1016/0771-050X(80)90013-3. |
| [12] |
R. Ozgur Doruk,
Feedback controlled electrical nerve stimulation: A computer simulation, Computer Methods and Programs in Biomedicine, 99 (2010), 98-112.
doi: 10.1016/j.cmpb.2010.01.006. |
| [13] |
R. Ozgur Doruk,
Control of repetitive firing in Hodgkin-Huxley nerve fibers using electric fields, Chaos, Solitons & Fractals, 52 (2013), 66-72.
doi: 10.1016/j.chaos.2013.04.003. |
| [14] |
J. W. Evans,
Nerve axon equations Ⅰ: Linear approximations, Indiana Univ. Math. J., 21 (1972), 877-885.
doi: 10.1512/iumj.1972.21.21071. |
| [15] |
J. W. Evans,
Nerve axon equations Ⅱ: stability at rest, Indiana Univ. Math. J., 22 (1972), 75-90.
doi: 10.1512/iumj.1973.22.22009. |
| [16] |
J. W. Evans,
Nerve axon equations Ⅲ: stability of the nerve impulse, Indiana Univ. Math. J., 22 (1972), 577-593.
doi: 10.1512/iumj.1973.22.22048. |
| [17] |
J. W. Evans and N. A. Shenk,
Solutions to axon equations, Biophys. J., 10 (1970), 1090-1101.
doi: 10.1016/S0006-3495(70)86355-X. |
| [18] |
W. E. Fitzgibbon, M.E. Parrott, Y.You, Global dynamics of singularly perturbed Hodgkin-Huxley equations, In: Semigroups of Linear and Nonlinear Operations and Applications (eds. G. Ruiz Goldstein, J. Goldstein), Springer Science+ Business Media B.V., Dordrecht, (1993), 159–176. |
| [19] |
W. E. Fitzgibbon, M. E. Parrott and Y. You,
Finite dimensionality and uppper semicontinuity of the global attractor of singularly perturbed Hodgkin Huxley systems, J. Diff. Equations, 129 (1996), 193-237.
doi: 10.1006/jdeq.1996.0116. |
| [20] |
A. L. Hodgkin and A. F. Huxley,
A quantitative description of membrane current and its application to conduction and excitation in nerve, J. Physiol., 117 (1952), 500-544.
|
| [21] |
J. L. Lions, Quelques Méthodes de R ésolution des Problèmes aux Limites non Linéaires, Dunod, Paris, 1969. |
| [22] |
M. Mascagni,
An initial–boundary value problem of physiological significance for equations of nerve conduction, Comm. Pure Appl. Math., 42 (1989), 213-227.
doi: 10.1002/cpa.3160420206. |
| [23] |
L. F. Shampine and M. W. Reichelt,
The MATLAB ODE Suite, SIAM Journal on Scientific Computing, 18 (1997), 1-22.
doi: 10.1137/S1064827594276424. |
| [24] |
R. D. Skeel and M. Berzins,
A method for the spatial discretization of parabolic equations in one space variable, SIAM Journal on Scientific and Statistical Computing, 11 (1990), 1-32.
doi: 10.1137/0911001. |
show all references
References:
| [1] |
V. Barbu, Nonlinear Differential Equations of Monotone Type in Banach Spaces, Springer, New York, 2010.
doi: 10.1007/978-1-4419-5542-5. |
| [2] |
V. Barbu, P. Colli, G. Gilardi, G. Marinoschi and E. Rocca,
Sliding mode control for a nonlinear phase-field system, SIAM J. Control Optim., 55 (2017), 2108-2133.
doi: 10.1137/15M102424X. |
| [3] |
E. N. Best,
Null space in the Hodgkin-Huxley equations, A critical test, Biophys. J., 27 (1979), 87-104.
doi: 10.1016/S0006-3495(79)85204-2. |
| [4] |
C. Cavaterra and M. Grasselli,
Robust exponential attractors for singularly perturbed Hodgkin-Huxley equations, J. Differential Equations, 246 (2009), 4670-4701.
doi: 10.1016/j.jde.2008.12.025. |
| [5] |
F. R. Chavarette, J. M. Balthazar, M. Rafikov and H. A. Hermini,
On non-linear dynamics and an optimal control synthesis of the action potential of membranes (ideal and non-ideal cases) of the Hodgkin-Huxley (HH) mathematical model, Chaos, Solitons and Fractals, 39 (2009), 1651-1666.
doi: 10.1016/j.chaos.2007.06.016. |
| [6] |
Y. Che, J. Wang, B. Deng, X. Wei and C. Han,
Bifurcations in the hodgkin–huxley model exposed to DC electric fields, Neurocomputing, 81 (2012), 41-48.
doi: 10.1016/j.neucom.2011.11.019. |
| [7] |
Y. Che, B. Liu, H. Li, M. Lu, J. Wang and X. Wei,
Robust stabilization control of bifurcations in Hodgkin-Huxley model with aid of unscented Kalman filter, Chaos, Solitons and Fractals, 101 (2017), 92-99.
doi: 10.1016/j.chaos.2017.04.045. |
| [8] |
P. Colli, M. Colturato, Global existence for a singular phase field system related to a sliding mode control problem, Nonlinear Anal. Real World Appl. 41 (2018), 128-151.
doi: 10.1016/j.nonrwa.2017.10.011. |
| [9] |
P. Colli, G. Gilardi, G. Marinoschi and E. Rocca,
Sliding mode control for phase field system related to tumor growth, Appl. Math.Optimiz., 79 (2019), 647-670.
doi: 10.1007/s00245-017-9451-z. |
| [10] |
J. Cronin, Mathematical Aspects of Hodgkin-Huxley Neural Theory, Cambridge Univ. Press, Cambridge, 1987.
doi: 10.1017/CBO9780511983955.
|
| [11] |
J. R. Dormand and P. J. Prince,
A family of embedded Runge-Kutta formulae, J. Comp. Appl. Math., 6 (1980), 19-26.
doi: 10.1016/0771-050X(80)90013-3. |
| [12] |
R. Ozgur Doruk,
Feedback controlled electrical nerve stimulation: A computer simulation, Computer Methods and Programs in Biomedicine, 99 (2010), 98-112.
doi: 10.1016/j.cmpb.2010.01.006. |
| [13] |
R. Ozgur Doruk,
Control of repetitive firing in Hodgkin-Huxley nerve fibers using electric fields, Chaos, Solitons & Fractals, 52 (2013), 66-72.
doi: 10.1016/j.chaos.2013.04.003. |
| [14] |
J. W. Evans,
Nerve axon equations Ⅰ: Linear approximations, Indiana Univ. Math. J., 21 (1972), 877-885.
doi: 10.1512/iumj.1972.21.21071. |
| [15] |
J. W. Evans,
Nerve axon equations Ⅱ: stability at rest, Indiana Univ. Math. J., 22 (1972), 75-90.
doi: 10.1512/iumj.1973.22.22009. |
| [16] |
J. W. Evans,
Nerve axon equations Ⅲ: stability of the nerve impulse, Indiana Univ. Math. J., 22 (1972), 577-593.
doi: 10.1512/iumj.1973.22.22048. |
| [17] |
J. W. Evans and N. A. Shenk,
Solutions to axon equations, Biophys. J., 10 (1970), 1090-1101.
doi: 10.1016/S0006-3495(70)86355-X. |
| [18] |
W. E. Fitzgibbon, M.E. Parrott, Y.You, Global dynamics of singularly perturbed Hodgkin-Huxley equations, In: Semigroups of Linear and Nonlinear Operations and Applications (eds. G. Ruiz Goldstein, J. Goldstein), Springer Science+ Business Media B.V., Dordrecht, (1993), 159–176. |
| [19] |
W. E. Fitzgibbon, M. E. Parrott and Y. You,
Finite dimensionality and uppper semicontinuity of the global attractor of singularly perturbed Hodgkin Huxley systems, J. Diff. Equations, 129 (1996), 193-237.
doi: 10.1006/jdeq.1996.0116. |
| [20] |
A. L. Hodgkin and A. F. Huxley,
A quantitative description of membrane current and its application to conduction and excitation in nerve, J. Physiol., 117 (1952), 500-544.
|
| [21] |
J. L. Lions, Quelques Méthodes de R ésolution des Problèmes aux Limites non Linéaires, Dunod, Paris, 1969. |
| [22] |
M. Mascagni,
An initial–boundary value problem of physiological significance for equations of nerve conduction, Comm. Pure Appl. Math., 42 (1989), 213-227.
doi: 10.1002/cpa.3160420206. |
| [23] |
L. F. Shampine and M. W. Reichelt,
The MATLAB ODE Suite, SIAM Journal on Scientific Computing, 18 (1997), 1-22.
doi: 10.1137/S1064827594276424. |
| [24] |
R. D. Skeel and M. Berzins,
A method for the spatial discretization of parabolic equations in one space variable, SIAM Journal on Scientific and Statistical Computing, 11 (1990), 1-32.
doi: 10.1137/0911001. |
Figure 2.
Graphics $ v(t, 0) $ (left), $ v(t, x) $ (center), $ n $ , $ m $ , $ h $ (right) for $ v_0 = 4.82 $ , $ v^* = 0 $ , $ \rho = 20 $
Figure 3.
Graphics $ v(t, 0) $ (left), $ v(t, x) $ (center), $ n $ , $ m $ , $ h $ (right) for $ v_0 = 4.82 $ , $ v^* = 0.5\sin(4/\pi *t)+0.6 $ , $ \rho = 20 $
Figure 4.
Graphics $ v(t, 0) $ (left), $ v(t, x) $ (center), $ n $ , $ m $ , $ h $ (right) for $ v_0 = 4.82 $ , $ v^* = 0 $ , $ \rho = 0 $ , $ g_K = 3.8229 $
Figure 5.
Graphics $ v(t, 0) $ (left), $ v(t, x) $ (center), $ n $ , $ m $ , $ h $ (right) for $ v_0 = 4.82 $ , $ v^* = 0 $ , $ \rho = 20 $ , $ g_K = 3.8229 $
Figure 6.
Graphics $ v(t, 0) $ (left), $ v(t, x) $ (center), $ n $ , $ m $ , $ h $ at $ x = 0.5 $ (right) for $ v_0 = 0.5sin(4\pi x)+0.6 $ , $ v^* = 0 $ , $ \delta = 50 $ , $ g_K = 36 $ , $ \rho = 50 $
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