Abstract
Although the formulation of the nonlinear theory of H ∞ control has been well developed, solving the Hamilton–Jacobi–Isaacs equation remains a challenge and is the major bottleneck for practical application of the theory. Several numerical methods have been proposed for its solution. In this paper, results on convergence and stability for a successive Galerkin approximation approach for nonlinear H ∞ control via output feedback are presented. An example is presented illustrating the application of the algorithm.
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References
Isidori, A., Astolfi, A.: Disturbance attenuation and H ∞ control via measurement feedback in nonlinear systems. IEEE Trans. Autom. Control 37(9), 553–574 (1992)
Ball, J.A., Helton, J.W., Walker, M.L.: H ∞ control for nonlinear systems with output feedback. IEEE Trans. Autom. Control 37(4), 546–559 (1993)
van der Schaft, A.J.: Nonlinear state space H ∞ control theory. In: Trentelman, H.L., Willems, J.C. (eds.) Essays on Control: Perspectives in the Theory and Its Applications, pp. 153–190. Birkhäuser, Boston (1993)
Isidori, A., Kang, W.: H ∞ control via measurement feedback for general nonlinear systems. IEEE Trans. Autom. Control 40(3), 466–472 (1995)
van der Schaft, A.J.: L 2-Gain and Passivity Techniques in Nonlinear Control, 2nd edn. Springer, London (1999)
Huang, J., Lin, C.-F.: Numerical approach to computing nonlinear H ∞ control laws. J. Guid. Control Dyn. 18(5), 989–994 (1995)
Beard, R.W., McLain, T.W.: Successive Galerkin approximation algorithms for nonlinear optimal and robust control. Int. J. Control 71(5), 717–743 (1998)
Abu-Khalaf, M., Lewis, F.L., Huang, J.: Policy iterations on the Hamilton–Jacobi–Isaacs equation for H ∞ state feedback control with input saturation. IEEE Trans. Autom. Control 51(12), 1989–1995 (2006)
Abu-Khalaf, M., Lewis, F.L.: Neuro dynamic programming and zero-sum games for constrained control systems. IEEE Trans. Neural Networks 19(7), 1243–1252 (2008)
Wise, K.A., Sedwick, J.L.: Successive approximation solution of the HJI equation. In: Proceedings of the 33rd IEEE Conference on Decision and Control, pp. 1387–1391. Orlando, FL (1994)
Lu, W.-M., Doyle, J.C.: H ∞ control of nonlinear systems: a convex characterization. IEEE Trans. Autom. Control 40(9), 1668–1675 (1995)
Aliyu, M.D.S.: An approach for solving the Hamilton–Jacobi–Isaacs equation (HJIE) in nonlinear H ∞ control. Automatica 39(5), 877–884 (2003)
Feng, Y., Rotkowitz, B.D.O., Anderson, M.: A game theoretic algorithm to compute local stabilizing solutions to HJBI equations in nonlinear H ∞ control. Automatica 45(4), 881–888 (2009)
Kim, Y.-J., Lim, M.-T.: H ∞ control for singularly perturbed bilinear systems with parameter uncertainties using successive Galerkin approximation. In: Proceedings of the 17th IFAC Triennial World Congress, pp. 206–211. Seoul, Korea (2008)
Ferreira, H.C., Rocha, P.H., Sales, R.M.: Galerkin method and weighting functions applied to nonlinear H ∞ control with output feedback. J. Vib. Control (2009, accepted)
Beard, R.W., Saridis, G.N., Wen, J.T.: Galerkin approximations of generalized Hamilton-Jacobi-Bellman equation. Automatica 33(12), 2159–2177 (1997)
Beard, R.W., Saridis, G.N., Wen, J.T.: Approximate solutions to the time-invariant Hamilton-Jacobi-Bellman equation. J. Optim. Theor. Appl. 96(3), 589–626 (1998)
Isidori, A.: H ∞ control via measurement feedback for affine nonlinear systems. Int. J. Robust Nonlinear Control 4(4), 553–574 (1994)
Berman, N., Shaked, U.: H ∞ control for non-linear stochastic systems: the output-feedback case. Int. J. Control 81(11), 1733–1746 (2008)
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Ferreira, H.C., Rocha, P.H. & Sales, R.M. On the convergence of successive Galerkin approximation for nonlinear output feedback H ∞ control. Nonlinear Dyn 60, 651–660 (2010). https://doi.org/10.1007/s11071-009-9622-9
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DOI: https://doi.org/10.1007/s11071-009-9622-9