×

Stabilization of a stock-loan valuation PDE process using differential flatness theory. (English) Zbl 07879335

Summary: The article proposes flatness-based control for stabilization of a stock-loan valuation process that is described by a partial differential equation. By applying semi-discretization and the finite differences method, the state-space model of the stock loan has been obtained. It has been proven that the individual rows of this state-space model are nonlinear ODEs which can be viewed as differentially flat subsystems. For the local subsystems, into which the stock-loan PDE is decomposed, it becomes possible to apply boundary feedback control. The controller design proceeds by showing that the state-space model of the stock loan PDE stands for a differentially flat system. Next, for each subsystem which is related to a nonlinear ODE, a virtual control input is computed, that can invert the subsystem’s dynamics and can eliminate the subsystem’s tracking error. From the last row of the state-space description, the control input (boundary condition) that is actually applied to the stock loan PDE system is found. This control input contains recursively all virtual control inputs which were computed for the individual ODE subsystems associated with the previous rows of the state-space description. Thus, by tracing the rows of the state-space model backwards, at each iteration of the control algorithm, one can finally obtain the control input that should be applied to the stock loan PDE system so as to assure that all its state variables will converge to the desirable setpoints. By showing the feasibility of such a control method it is also proven that through selected modification of the PDE boundary conditions the value of the stock loan can be made to converge and stabilize at specific reference values.
© 2019 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd

MSC:

93-XX Systems theory; control
Full Text: DOI

References:

[1] G.Rigatos, State‐Space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods, Springer, Switzerland, 2017. · Zbl 1390.91007
[2] W.Chen, L.Xu, and S. P.Zhu, Stock loan valuation under a stochastic inrerest rate model, Comp. Math. Appl.70 (2015), 1757-1771. · Zbl 1443.91307
[3] G.D’ Avolio, The market for borrowing stock, J. Financ. Econ.66 (2002), 271-306.
[4] Q.Zhang and X. Y.Zhou, Valuation of stock loans with regime switching, SIAM J. Control Optimiz.48 (2009), 1229-1250. · Zbl 1188.91226
[5] X.Lu and E. R. M.Putri, Semi‐analytic valuation of stock‐loans with finite memory, Commun. Nonlinear Sci. Numer. Simul.27 (2015), 206-215. · Zbl 1457.91383
[6] J.Xin and X. Y.Zhou, Stock loans, J. Math. Finance17 (2007), 307-317. · Zbl 1186.91221
[7] C.Fan, K.Xiong, and S.Chen, Stock‐loan valuation based on the finite‐moment log‐stable process, Comp. Math. Appl.75 (2018), 374-387. · Zbl 1409.91275
[8] M.Dai and Z. Q.Xu, Optimal redeeming strategy of stock loans with finite maturity, J. Math. Finance21 (2011), 775-793. · Zbl 1277.91168
[9] M. R.Grasselli and C. G.Velez, Stock loans in incomlete markets, Appl. Math. Finance20 (2013), 118-136. · Zbl 1457.91376
[10] Z.Liang and W.Wu, Variational inequalities in stock‐loan models, J. Optimiz. Eng.13(2012), 459-470. · Zbl 1293.91201
[11] Z.Liang, W.Wu, and S.Jiang, Stock loan with automatic termination clause, cap and growth, Comp. Math. Appl.60 (2010), 3160-3176. · Zbl 1207.91064
[12] D.Prager and Q.Zhang, Valuation of stable loans under a Markov chain model, J. Syst. Sci. Complex.29 (2016), 171-186. · Zbl 1411.91602
[13] G.Liu and Y.Xu, Capped stock loans, Comp. Math. Applicat.9 (2010), 3548-3558. · Zbl 1197.91185
[14] T.WingWang and H.Ying Wang, Stochastic volatility asymptotics of stock loans: valuation and optimal stopping, J. Math. Anal. Appl.394 (2012), 337-346. · Zbl 1244.91098
[15] G.Shi, Z.Zhang, and Y.Sheng, Valuation of stock loan under uncertain mean‐reverting stock model, J. Intell. Fuzzy Syst.33 (2017), 1355-1361. · Zbl 1377.91175
[16] Z.Zhang, W.Liu, and J.Ding, Valuation of stock loan under uncertain environment, Soft Comput.22 (2017), 5663-5669. · Zbl 1398.91722
[17] T. W.Wong and H. Y.Wong, Stochastic volatility asymptotics of stock loans: Valuation and optimal stopping, J. Math. Anal. Appl.394 (2012), 337-346. · Zbl 1244.91098
[18] N.Cai and L.Sun, Valuation of stock loans with jump risk, J. Econ. Dyn. Control40(2014), 213-241. · Zbl 1402.91757
[19] Z. R.Huszar and M. P.Prado, An analysis of over‐the‐counter and centralized stock lending markets, J. Financial Markets43 (2019), 31-53.
[20] T. W.Wong and H. Y.Wong, Valuation of stock loans using exponential phase‐type Levy models, Appl. Math. Comp.222 (2013), 275-289. · Zbl 1329.91131
[21] A.Pascucci, M.Suarez‐Taboada, and C.Vasquez, Mathematical analysis and numerical methods for a PDE model of a stock‐loan pricing problem, J. Math. Anal. Appl.403 (2013), 38-58. · Zbl 1281.91177
[22] J.Hu and S.Gan, High‐order methods for Black‐Scholes PDE, Comput, Math. Appl.75 (2018), 2259-2270. · Zbl 1409.91276
[23] I.Aregui, B.Salvdor, and C.Vasquez, PDE models and numerical methods for total value adjustment in European and Americal options with counterparty risk, Appl. Math. Comput.308 (2017), 31-33. · Zbl 1411.91613
[24] A.Bensoussan et al., Representation and Control of Infinite Dimensional Systems, Birkhäuser, Boston, 2006.
[25] M.Fliess and C.Join, Preliminary remarks on option pricing and dynamic hedging, IEEE ICSCS 1st Int. Conf. Systems and Computer Science, Lille, Villeneuve d’ Ascq, France, 2012, pp. 1-6.
[26] M.Basseville and I.Nikiforov, Detection of Abrupt Changes: Theory and Applications, Prentice Hall, New Jersey, 1993. · Zbl 1407.62012
[27] P. A.Forsyth and C.Labahn, Numerical methods for controlled Hamilton‐Jacobi‐Bellman PDE in finance, J. Comput. Finance11 (2007), 1.
[28] J.Zheng, Optimal control of multi‐dimensional modified Swift‐Hohenberg equation, Int. J. Control88 (2015), 2117-2125. · Zbl 1335.49037
[29] Z. L. C.Gao, H.Xiao, and Y.Kao, Non‐fragile observer‐based H‐infinity Control for uncertain neutral‐type systems via sliding mode technique, Asian J. Control19 (2016), 659-671. · Zbl 1365.93142
[30] X.Liu et al., Optimal control of switching times in switched stochastic systems, Asian J. Control17 (2016), 1580-1589. · Zbl 1333.93260
[31] J.Zheng, The bang‐bang principle for time‐optimal control of the Kuramoto‐Sivashinsky‐KdV equation with internal control, Int. J. Robust Nonlin. Control26 (2016), 1667-1685. · Zbl 1346.49009
[32] E.Platen and D.Heath, A Benchmark Approach to Quantitative Finance, Springer, Berlin, 2008.
[33] A.Pascucci, PDE and Martingale Methods in Option Pricing, Springer, Milan, 2011. · Zbl 1214.91002
[34] Y.Orlov et al., Sliding mode observer design for a parabolic PDE in the presence of unknown inputs, Asian J. Control21 (2019), 224-235. · Zbl 1422.93042
[35] F.Olivier and A.Sedoglavic, A generalization of flatness to nonlinear systems of partial differential equations: Application to the control of a flexible rod, Proc. 5th IFAC Symp. Nonlinear Control Systems, Saint‐Petersbourg, Russia, 2002, pp. 219-223.
[36] M.Pinsky, Partial Differential Equations and Boundary Value Problems, Prentice‐Hall, New Jersey, 1991.
[37] G.Rigatos, Nonlinear Control and Filtering Using Differential Flatness Approaches: Applications to Electromechanicsl Systems, Springer, Switzerland, 2015. · Zbl 1352.93008
[38] J.Lévine, Analysis and Control of Nonlinear Systems: A flatness‐based approach, Springer, 2009. · Zbl 1167.93001
[39] H.Mounier, J.Rudolph, and F.Woittenneck, Boundary value problems and convolutional systems over rings of ultradistributions, Advances in the theory of Control, Signal and Systems with Physical Modelling, Springer, Lecture Notes in Control an Information Sciences, Berlin‐Heidelberg, 2010, pp. 179-188. · Zbl 1218.35117
[40] M.Fliess and H.Mounier, An algebraic framework for infinite‐dimensional linear systems, Proc. Int. School on Automatic Control of Lille, Control of Distributed Parameter Systems: Theory and Applications, Grenoble, France, 2002.
[41] F.Woitteneck and H.Mounier, Controllability of Networks of spatially one‐dimensional second order PDEs ‐ An algebraic approach, J. Control Optim.48 (2010), 3882-3902. · Zbl 1217.93042
[42] H.Sira‐Ramirez and S.Agrawal, Differentially Flat Systems, Marcel Dekker, New York, 2004. · Zbl 1126.93003
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.