Neural control of pelvic organs is affected by a unique coordination of somatic and autonomic motor nervous systems. Sensory information and feedback is supplied by both visceral and somatic sensory fibers. The anatomical features of the pelvic floor and perineal muscles, and their innervation are described. Altogether more detailed information is known in humans on the peripheral innervation a...

We demonstrate the use of qualitative models in the DHP method of training neurocontrollers. Two Fuzzy approaches to developing qualitative models are explored: a priori application of problem specific knowledge, and estimation of a first order TSK Fuzzy model. These approaches are demonstrated respectively on the cart-pole system and a non-linear multiple-inputmultiple-output plant proposed by...

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Artificial neural networks (ANNs) and f u z z y logic are complementary technologies. A N N s extract information f rom systems to be learned or controlled, while fuzzy techniques most often use verbal information f rom experts. Ideally, the two sources o f information should be combined. For example, one can learn rules in a hybrid fashion and then calibrate them f o r better whole-system perf...

This paper presents an application of multilayered feed-forward neural networks for controlling a PT326 Process Trainer laboratory equipment. Firstly, the process as well as its inverse have been identi ed using the Levenberg-Marquardt algorithm for neural network training. Secondly an internal model control (IMC) strategy has been used for neurocontrol. Different architectures and learning met...

Fine neurocontrol of complex dynamical systems such as locomotion of robot requires feedback for the estimation of deviations from the target behavior. Artificial neural networks is a powerful tool for locomotion control but traditional architectures lack explicit mechanisms for the evaluation of actions results. To address this issue we propose a novel model of formal neuron capable of simple ...

KEY TERMS I. Functional Anatomy and Physiology of Sleep A. Neurocontrol of Sleep II. Upper Airway Anatomy and Sleep A. Oropharynx III. Stages of Sleep A. Nonrapid Eye Movement B. Rapid Eye Movement IV. Sleep Disorders A. Obstructive Sleep Apnea B. Central Sleep Apnea 1. Children with Central Sleep Apnea C. Mixed Sleep Apnea V. Cardiovascular Effects of Untreated Sleep-Disordered Breathing A. Ce...

A neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric vehicle is proposed. A new method to detect and mitigate a battery fault is also presented. The approach is based on recurrent neural networks and includes the extended Kalman filter. The proposed approach is quite general and applicable to other control systems.

In this review of neurocontrol of movement after spinal cord injury, we discuss neurophysiological evidences of conducting and processing mechanisms of the spinal cord. We illustrate that external afferent inputs to the spinal cord below the level of the lesion can modify, initiate, and maintain execution of movement in absence or partial presence of brain motor control after chronic spinal cor...

This paper presents an application of multilayered feed-forward neural networks for controlling a PT326 Process Trainer laboratory equipment. Firstly, the process as well as its inverse have been identi ed using the back-propagation (BP) algorithm for neural network training. Secondly an internal model control (IMC) strategy has been used for neurocontrol. Di erent architectures and learning me...