class_docstr: Simple zeroth-order activation dynamics mapping excitation to
  activation.
  
  Explanation
  ===========
  
  Zeroth-order activation dynamics are useful in instances where you want to
  reduce the complexity of your musculotendon dynamics as they simple map
  exictation to activation. As a result, no additional state equations are
  introduced to your system. They also remove a potential source of delay
  between the input and dynamics of your system as no (ordinary) differential
  equations are involed.
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docstr: Initializer for ``ZerothOrderActivation``.
  
  Parameters
  ==========
  
  name : str
      The name identifier associated with the instance. Must be a string
      of length at least 1.
docstr_tok: ["Initializer","for","``","ZerothOrderActivation","``",".","Parameters","==========","name",":","str","The","name","identifier","associated","with","the","instance",".","Must","be","a","string","of","length","at","least","1","."]
code: def __init__(self, name):
      """Initializer for ``ZerothOrderActivation``.
  
      Parameters
      ==========
  
      name : str
          The name identifier associated with the instance. Must be a string
          of length at least 1.
  
      """
      super().__init__(name)
  
      # Zeroth-order activation dynamics has activation equal excitation so
      # overwrite the symbol for activation with the excitation symbol.
      self._a = self._e
  
imports: from abc import ABC, abstractmethod
  from functools import cached_property
  from sympy.core.symbol import Symbol
  from sympy.core.numbers import Float, Integer, Rational
  from sympy.functions.elementary.hyperbolic import tanh
  from sympy.matrices.dense import MutableDenseMatrix, zeros
  from sympy.physics.biomechanics._mixin import _NamedMixin
  from sympy.physics.mechanics import dynamicsymbols
label_desc: Use image node_id 1 to create a new ZerothOrderActivation object from inherited base classes: ActivationBase with example: obj = ZerothOrderActivation(name)