A Model of Postural Control in Quiet Standing: Robust Compensation of Delay-Induced Instability Using Intermittent Activation of Feedback Control

The main purpose of this study is to compare two different feedback controllers for the stabilization of quiet standing in humans, taking into account that the intrinsic ankle stiffness is insufficient and that there is a large delay inducing instability in the feedback loop: 1) a standard linear, continuous-time PD controller and 2) an intermittent PD controller characterized by a switching function defined in the phase plane, with or without a dead zone around the nominal equilibrium state. The stability analysis of the first controller is carried out by using the standard tools of linear control systems, whereas the analysis of the intermittent controllers is based on the use of Poincaré maps defined in the phase plane. When the PD-control is off, the dynamics of the system is characterized by a saddle-like equilibrium, with a stable and an unstable manifold. The switching function of the intermittent controller is implemented in such a way that PD-control is ‘off’ when the state vector is near the stable manifold of the saddle and is ‘on’ otherwise. A theoretical analysis and a related simulation study show that the intermittent control model is much more robust than the standard model because the size of the region in the parameter space of the feedback control gains (P vs. D) that characterizes stable behavior is much larger in the latter case than in the former one. Moreover, the intermittent controller can use feedback parameters that are much smaller than the standard model. Typical sway patterns generated by the intermittent controller are the result of an alternation between slow motion along the stable manifold of the saddle, when the PD-control is off, and spiral motion away from the upright equilibrium determined by the activation of the PD-control with low feedback gains. Remarkably, overall dynamic stability can be achieved by combining in a smart way two unstable regimes: a saddle and an unstable spiral. The intermittent controller exploits the stabilizing effect of one part of the saddle, letting the system evolve by alone when it slides on or near the stable manifold; when the state vector enters the strongly unstable part of the saddle it switches on a mild feedback which is not supposed to impose a strict stable regime but rather to mitigate the impending fall. The presence of a dead zone in the intermittent controller does not alter the stability properties but improves the similarity with biological sway patterns. The two types of controllers are also compared in the frequency domain by considering the power spectral density (PSD) of the sway sequences generated by the models with additive noise. Different from the standard continuous model, whose PSD function is similar to an over-damped second order system without a resonance, the intermittent control model is capable to exhibit the two power law scaling regimes that are typical of physiological sway movements in humans.

[1]  Ian David Loram,et al.  Direct measurement of human ankle stiffness during quiet standing: the intrinsic mechanical stiffness is insufficient for stability , 2002, The Journal of physiology.

[2]  L. Stark,et al.  The trajectories of saccadic eye movements. , 1979, Scientific American.

[3]  R. Hetherington The Perception of the Visual World , 1952 .

[4]  Toru Ohira,et al.  Balancing with positive feedback: the case for discontinuous control , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[5]  W. Ditto,et al.  Controlling chaos in the brain , 1994, Nature.

[6]  Edward Ott,et al.  Controlling chaos , 2006, Scholarpedia.

[7]  Robert J. Peterka,et al.  Postural control model interpretation of stabilogram diffusion analysis , 2000, Biological Cybernetics.

[8]  Vadim I. Utkin,et al.  Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.

[9]  Carlo J. De Luca,et al.  The role of plantar cutaneous sensation in unperturbed stance , 2004, Experimental Brain Research.

[10]  R. Peterka Sensorimotor integration in human postural control. , 2002, Journal of neurophysiology.

[11]  J. Collins,et al.  Random walking during quiet standing. , 1994, Physical review letters.

[12]  Jacques Droulez,et al.  Does the brain use sliding variables for the control of movements? , 1997, Biological Cybernetics.

[13]  Taishin Nomura,et al.  Bounded stability of the quiet standing posture: an intermittent control model. , 2008, Human movement science.

[14]  John G Milton,et al.  On-off intermittency in a human balancing task. , 2002, Physical review letters.

[15]  Tamás Insperger,et al.  Act-and-wait concept for continuous-time control systems with feedback delay , 2006, IEEE Transactions on Control Systems Technology.

[16]  R. Peterka,et al.  A new interpretation of spontaneous sway measures based on a simple model of human postural control. , 2005, Journal of neurophysiology.

[17]  John G. Milton,et al.  Unstable dynamical systems: Delays, noise and control , 2008 .

[18]  Constantinos N Maganaris,et al.  Active, non‐spring‐like muscle movements in human postural sway: how might paradoxical changes in muscle length be produced? , 2005, The Journal of physiology.

[19]  Gouhei Tanaka,et al.  Bifurcation analysis on a hybrid systems model of intermittent hormonal therapy for prostate cancer , 2008 .

[20]  Ian David Loram,et al.  Human postural sway results from frequent, ballistic bias impulses by soleus and gastrocnemius , 2005, The Journal of physiology.

[21]  Collins,et al.  Pinned polymer model of posture control. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[22]  Carson C. Chow,et al.  The dynamics of quasi-static posture control , 1999 .

[23]  Attila Priplata,et al.  Noise-enhanced human balance control. , 2002, Physical review letters.

[24]  P. Morasso,et al.  Body sway during quiet standing: is it the residual chattering of an intermittent stabilization process? , 2005, Human movement science.

[25]  R. Miall,et al.  Intermittency in human manual tracking tasks. , 1993, Journal of motor behavior.

[26]  D. Talay Numerical solution of stochastic differential equations , 1994 .

[27]  Pietro Morasso,et al.  How a discontinuous mechanism can produce continuous patterns in trajectory formation and handwriting , 1983 .

[28]  Frans C T van der Helm,et al.  Comparison of different methods to identify and quantify balance control. , 2005, Journal of neuroscience methods.

[29]  P. Morasso,et al.  Direct measurement of ankle stiffness during quiet standing: implications for control modelling and clinical application. , 2005, Gait & posture.

[30]  Frans C. T. van der Helm,et al.  Comparison of different methods to identify and quantify balance control , 2005, Journal of Neuroscience Methods.

[31]  J. Milton,et al.  Noise-induced transitions in human postural sway. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[32]  Motoki Kouzaki,et al.  Importance of body sway velocity information in controlling ankle extensor activities during quiet stance. , 2003, Journal of neurophysiology.

[33]  Ying-Cheng Lai,et al.  Controlling chaos , 1994 .

[34]  Taishin Nomura,et al.  A quantitative characterization of postural sway during human quiet standing using a thin pressure distribution measurement system. , 2009, Gait & posture.

[35]  Gábor Stépán,et al.  Balancing with Reflex Delay , 2000 .

[36]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[37]  Juan Luis Cabrera,et al.  Human stick balancing: tuning Lèvy flights to improve balance control. , 2004, Chaos.

[38]  Taiga Yamasaki,et al.  Possible functional roles of phase resetting during walking , 2003, Biological Cybernetics.