The model has been extended to up to four types of cells, using different types of cancer as examples, including multiple myeloma, prostate cancer, glioma, and glioblastoma (Basanta et al. 2008a, b, 2011, 2012; Dingli et al. 2009; Gerstung et al. 2011).
Numerical examples including a multiple UAV navigation problem are provided to evaluate the performance of the proposed method.
Numerical examples, including those involving multiple solid bodies, are presented to verify the method and illustrate its efficiency.
In this paper we explain the basic idea of NMPC, give a proof concerning the accuracy of NMPC for discounted optimal control problems, present implementational details, and demonstrate the ability of NMPC to solve dynamic decision problems in economics by solving low and high dimensional examples, including models with multiple equilibria, tracking and stochastic problems.
The method is applied to several examples including a well-known example with multiple design points.
These examples include multiple instances in different scales, poses, and even occlusions.
Examples include multiple stable periodic orbits, isolas of periodic solutions, nonhomogeneous periodic oscillations and cascading period doublings leading to chaos.
Examples include multiple gestation (4), more than four previous vaginal births (5), uterine fibroids (6), and history of postpartum hemorrhage (either for the woman or a close member of her family) (6).
Examples include multiple myeloma (Tian et al, 2003) and some forms of prostate cancer (Hall et al, 2005).
Prominent such examples include using multiple antennas to steer the transmitted signal away from an eavesdropper [14 16], transmitting with the intention of jamming the eavesdropper [8, 10, 17], and taking advantage of variations in channel state to provide secrecy [18 20].
