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Proceedings of the 2011 American Control Conference
Optimal control theory is a powerful analytical tool useful for many diverse fields, including biological motor control, where the theory is used to predict characteristics of motor control problems under optimal conditions. However, finding solutions to these control problems can be very difficult when examining biological systems, where nonlinearity and stochasticity are typical. In an effort to overcome this dilemma and analyze more realistic problems, we present an algorithm thatdoi:10.1109/acc.2011.5990808 fatcat:y4bgvn5hbbcbvio5g7tqq4y4jy