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5.4 Bibliographical Notes
Abu-Khalaf, M., F. L. Lewis, J. Huang, “Hamilton-Jacobi-Isaacs formulation for constrained input nonlinear systems,” Proceedings of the 43rd IEEE CDC, pp. 5034–5040, Atlantis, Paradise Island, Bahamas, 2004.
Abu-Khalaf, M., F. L. Lewis, “Neural network policy iterations with saturated control policy for the disturbance attenuation zero-sum game,” IEEE Transactions on Neural Networks, (to appear in October 2006).
Beard, R., T. McLain, “Successive Galerkin approximation algorithms for nonlinear optimal and robust control,” International Journal of Control, Vol. 71, No. 5, pp. 717–743, 1998.
Bupp R., D. Bernstein, V. Coppola, “A benchmark problem for nonlinear control design,” International Journal of Robust and Nonlinear Control, Vol. 8, pp. 307–310, 1998.
Mracek, C. J. Cloutier, “A preliminary control design for the nonlinear benchmark problem,” Proceedings of the 1996 International Conference on Control Applications, Dearborn, MI, 265–272, 1996.
Tsiotras P., M. Corless, M. Rotea, “An L 2 disturbance attenuations solution to the nonlinear benchmark problem,” International Journal of Robust and Nonlinear Control, Vol. 8, pp. 311–330, 1998.
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(2006). Nearly H ∞ Optimal Neural Network Control for Constrained-Input Systems. In: Nonlinear H 2/H ∞ Constrained Feedback Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/1-84628-350-7_5
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