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3,591
Multiple Paired Forward and Inverse Models for Motor Control
, 1998
"... Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. In this paper, we propose a modular approach to such motor learning and control. We review the behavioral evidence and benefits of modularity ..."
Abstract
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Cited by 394 (16 self)
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Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. In this paper, we propose a modular approach to such motor learning and control. We review the behavioral evidence and benefits
The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory
- Psychological Bulletin
, 1996
"... Since the beginning of the century, feedback interventions (FIs) produced negative—but largely ignored—effects on performance. A meta-analysis (607 effect sizes; 23,663 observations) suggests that FIs improved performance on average (d =.41) but that over '/3 of the FIs decreased perfor-mance. ..."
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Cited by 463 (1 self)
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understood. To relate feedback directly to behavior is very confusing. Results are contradictory and seldom straight-forward. (Ilgen, Fisher, & Taylor, 1979, p. 368) The effects of manipulation of KR [knowledge of results] on motor learning...reveal... some violent contradictions to earlier beliefs about
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller
- (CMAC), TRANS. ASME, SERIES G. JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT AND CONTROL
, 1975
"... (CMAC) [1, 2] is a neural network that models the structure and function of the part of the brain known as the cerebellum. The cerebellum provides precise coordination of motor control for such body parts as the eyes, arms, fingers, legs, and wings. It stores and retrieves information required to co ..."
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Cited by 366 (5 self)
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to control thousands of muscles in producing coordinated behavior as a function of time. CMAC was designed to provide this kind of motor control for robotic manipulators. CMAC is a kind of memory, or table look-up mechanism, that is capable of learning motor behavior. It exhibits properties
Bottom-Up Modeling of Cerebro-Cerebellar Interaction
"... The Problem: To obtain systems engineering models of the interaction between the brain’s principal motor exec-utive center, the cerebrum, and its principal ’coordinating ’ center, the cerebellum. Motivation: Increasing scientific data about the primate cerebellum appears to show that the organ provi ..."
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of the operation of cerebral and cerebellar neural pathways. To date, these models are able to describe both the input-output motor control behavior
Evolving Dynamical Neural Networks for Adaptive Behavior
- Adaptive Behavior
, 1992
"... We would like the behavior of the artificial agents that we construct to be as well-adapted to their environments as natural animals are to theirs. Unfortunately, designing controllers with these properties is a very difficult task. In this article, we demonstrate that continuous-time recurrent neur ..."
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Cited by 308 (22 self)
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neural networks are a viable mechanism for adaptive agent control and that the genetic algorithm can be used to evolve effective neural controllers. A significant advantage of this approach is that one need specify only a measure of an agent’s overall performance rather than the precise motor output
INPUT-OUTPUT DATA BASED TRACKING
"... Traditional methods of tracking controller design involve in-verting the system dynamics using the model of the system, Model errors will result in performance degradation and may lead to instability. Since the system parameters vary due to the factors such aa age, temperature, etc., there is an int ..."
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., there is an interest in tracking control schemes that can efficiently address changes in the system’s behavior. This research proposes a tracking con-trol scheme, in which the inverse dynamics of an LTI system are determined using the input-output data. In many practical applications the system is desired to track a
Energy-Shaping and Input-Output Linearization Controllers for Induction Motors
, 1997
"... In this short paper, we first introduce an energyshaping controller based on passivity properties of induction motor. Then, an input-output linearization controller for induction motors is presented. Finally, advantages and disadvantages of the controllers are briefly discusses. I. ..."
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In this short paper, we first introduce an energyshaping controller based on passivity properties of induction motor. Then, an input-output linearization controller for induction motors is presented. Finally, advantages and disadvantages of the controllers are briefly discusses. I.
A Comparison of Passivity-Based and Input-Output Linearization Controllers for Induction Motors
- IEEE ETFA'97
, 1997
"... An experimental and theoretical comparison of passivity-based and input-output linearization controllers for i nduction motors is presented. The comparison is done taking into account saturation of the magnetic material in the main flux path of the induction motor. Experimental results show that the ..."
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Cited by 1 (1 self)
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An experimental and theoretical comparison of passivity-based and input-output linearization controllers for i nduction motors is presented. The comparison is done taking into account saturation of the magnetic material in the main flux path of the induction motor. Experimental results show
Artificial fishes: Physics, locomotion, perception, behavior
, 1994
"... physics-based modeling Abstract: This paper proposesa framework for animation that can achieve the intricacy of motion evident in certain natural ecosystems with minimal input from the animator. The realistic appearance, movement, and behavior of individual animals, as well as the patterns of behavi ..."
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Cited by 236 (17 self)
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. The world is inhabited by artificial fishes that can swim hydrodynamically in simulated water through the motor control of internal muscles that motivate fins. Their repertoire of behaviors relies on their perception of the dynamic environment. As in nature, the detailed motions of artificial fishes
Input-Output Linearization of an Induction Motor Using MRAS Observer
"... This paper presents the non-linear control of an induction motor (IM). The objective of nonlinear control is to can control separately flux and the speed, several techniques of control are used for (IM), The technique of control oriented flux (FOC) whichpermits the decoupling between input and outpu ..."
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This paper presents the non-linear control of an induction motor (IM). The objective of nonlinear control is to can control separately flux and the speed, several techniques of control are used for (IM), The technique of control oriented flux (FOC) whichpermits the decoupling between input
Results 1 - 10
of
3,591
