Abstract
Publisher Summary This chapter reviews various computational issues that arise in the study of motor control and motor learning. It describes feedback control, feedforward control, the problem of delay, observers, learning algorithms, motor learning, and reference models. It focuses on basic theoretical issues with broad applicability. The chapter develops some of the basic ideas in the control of dynamical systems, distinguishing between feedback control and feedforward control. In general, controlling a system involves finding an input to the system that will cause a desired behavior at its output. Feedback control and feedforward control can both be understood as techniques for inverting a dynamical system. The chapter discusses some mathematical representations for dynamical systems.
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