In The Vestibular System: A Sixth Sense, leading experts present an integrative, comprehensive and innovative look at the sense that Aristotle missed. The vestibular system plays a vital role in everyday life, contributing to a surprising range of functions from reflexes to the highest levels of perception and consciousness. This text not only offers a thorough and fresh review of the basic sensory transduction, the neurophysiology of peripheral and central pathways and how vestibular signals are processed in the control of gaze and posture; it significantly moves the discussion forward with its attention to the current research and the field's revolutionary advances, such as the understanding of neural correlates of self-motion and the basis of clinical disorders. In addition, the objective presentation of existing controversies is exciting reading and an extremely important contribution to the text's completeness. Dynamic, intellectually challenging, and unique in its level of integration of the material, this book is essential for anyone interested in understanding the vestibular system.

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A new method for the design of tracking filters for maneuvering targets, based on kinematic models and input signalsestimation, is developed. The input signal's level, u, is considered a continuous variable and consequently the input estimationproblem is posed as a purely parameter estimation problem. Moreover, the application of the new tracking filter algorithm isnot contingent on distinguishing maneuvering and non-maneuvering targets, and does not require the detection of maneuveronset. The filter will automatically detect the onset of a maneuver. Furthermore, an estimate of the target's acceleration isalso obtained with reasonable precision. This opens the door to the employment of advanced Augmented ProportionalNavigation Missile guidance laws, which require an estimate of the target's state acceleration, recognizing the precision is notas good as that for position and velocity estimates. When the target dynamics and measurement are linear and input u isconstant, then an unbiased estimate of of u and of the target state is obtained, provided that an observability condition holds.It is shown that the critical observability condition holds for kinematic target motion models of interest.