Literature DB >> 17146662

Engineering entrainment and adaptation in limit cycle systems : From biological inspiration to applications in robotics.

Jonas Buchli1, Ludovic Righetti, Auke Jan Ijspeert.   

Abstract

Periodic behavior is key to life and is observed in multiple instances and at multiple time scales in our metabolism, our natural environment, and our engineered environment. A natural way of modeling or generating periodic behavior is done by using oscillators, i.e., dynamical systems that exhibit limit cycle behavior. While there is extensive literature on methods to analyze such dynamical systems, much less work has been done on methods to synthesize an oscillator to exhibit some specific desired characteristics. The goal of this article is twofold: (1) to provide a framework for characterizing and designing oscillators and (2) to review how classes of well-known oscillators can be understood and related to this framework. The basis of the framework is to characterize oscillators in terms of their fundamental temporal and spatial behavior and in terms of properties that these two behaviors can be designed to exhibit. This focus on fundamental properties is important because it allows us to systematically compare a large variety of oscillators that might at first sight appear very different from each other. We identify several specifications that are useful for design, such as frequency-locking behavior, phase-locking behavior, and specific output signal shape. We also identify two classes of design methods by which these specifications can be met, namely offline methods and online methods. By relating these specifications to our framework and by presenting several examples of how oscillators have been designed in the literature, this article provides a useful methodology and toolbox for designing oscillators for a wide range of purposes. In particular, the focus on synthesis of limit cycle dynamical systems should be useful both for engineering and for computational modeling of physical or biological phenomena.

Mesh:

Year:  2006        PMID: 17146662     DOI: 10.1007/s00422-006-0128-y

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  7 in total

1.  A computational model for rhythmic and discrete movements in uni- and bimanual coordination.

Authors:  Renaud Ronsse; Dagmar Sternad; Philippe Lefèvre
Journal:  Neural Comput       Date:  2009-05       Impact factor: 2.026

2.  Modeling brain resonance phenomena using a neural mass model.

Authors:  Andreas Spiegler; Thomas R Knösche; Karin Schwab; Jens Haueisen; Fatihcan M Atay
Journal:  PLoS Comput Biol       Date:  2011-12-22       Impact factor: 4.475

3.  Rhythm patterns interaction--synchronization behavior for human-robot joint action.

Authors:  Alexander Mörtl; Tamara Lorenz; Sandra Hirche
Journal:  PLoS One       Date:  2014-04-21       Impact factor: 3.240

Review 4.  Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review.

Authors:  Shinya Aoi; Poramate Manoonpong; Yuichi Ambe; Fumitoshi Matsuno; Florentin Wörgötter
Journal:  Front Neurorobot       Date:  2017-08-23       Impact factor: 2.650

5.  Fast Dynamical Coupling Enhances Frequency Adaptation of Oscillators for Robotic Locomotion Control.

Authors:  Timo Nachstedt; Christian Tetzlaff; Poramate Manoonpong
Journal:  Front Neurorobot       Date:  2017-03-21       Impact factor: 2.650

6.  Editorial: Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology.

Authors:  Poramate Manoonpong; Christian Tetzlaff
Journal:  Front Neurorobot       Date:  2018-08-30       Impact factor: 2.650

7.  Generating spatiotemporal joint torque patterns from dynamical synchronization of distributed pattern generators.

Authors:  Alexandre Pitti; Max Lungarella; Yasuo Kuniyoshi
Journal:  Front Neurorobot       Date:  2009-10-29       Impact factor: 2.650

  7 in total

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