EBOOK NONANALYTICAL METHODS FOR MOTOR CONTROL

This book describes non-conventional methods of control of human extremities, emphasizing the fact that conventional approaches used in robotics are limited when used in humans for restoration of reaching and grasping (goal-oriented movements), and standing and locomotion (cyclic movements). The use of artificial neural networks, inductive learning, skill-based expert systems and finite-state representation of movements is the base of this non-conventional control theory. A specific number of realized applications are included in the book to illustrate how these computer techniques can improve the function of assistive systems in physically challenged humans. The theory presented is applicable to the control of robots and industrial manipulators.Contents:Part I:Mathematical Description of System BehaviorKnowledge Representation and Machine LearningPrinciples of Analytical ControlMuscles, The Biological ActuatorsSensors and Feedback ControlReflex and Skill-Based ControlOptimization and Synergy in Functional MovementsCyclic MovementsConclusionsPart II:Optimal Control for an Artificial LegOptimal Control for Musculo-Skeletal SystemsThe Liapunov Method for Control of an Artificial LegFinite State Model for FES Assisted LocomotionRule-Based Control for an Artificial LegAdaptive Rule-Based Control of LocomotionPattern Mapping for Design of Production RulesSynergistic Control of ReachingSynergistic Control of GraspingParameters for Control of FES SystemsReadership: Graduate students and scientists in motor control, rehabilitation engineering, neuroscience and robotic research.Key Features:Features contributions from renowned experts in the field, including Xiangdong Ji, UIf Meissner and John NegelePresents a comprehensive overview of the fieldIncludes up-to-date research results from many international laboratories and pedagogical overview talks