Comments on "Sliding Mode Closed-Loop Control of FES: Controlling the Shank Movement

@article{Ebrahimpour2008CommentsO,
  title={Comments on "Sliding Mode Closed-Loop Control of FES: Controlling the Shank Movement},
  author={Mir-Mahdi Ebrahimpour and Abbas Erfanian},
  journal={IEEE transactions on bio-medical engineering},
  year={2008},
  volume={55 12},
  pages={
          2842-3
        }
}
There are some essential problems with the arguments presented in the above paper about the design of a sliding-mode controller for functional electrical simulation (FES) induced control of knee-joint angle. In this note, we show that applying some approximations in derivation of the control law violates the reaching condition and could introduce some parasitic unmodeled dynamics in the sliding-mode control loop. Therefore, the proposed controller cannot force the system into a sliding-mode… 
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Decentralized adaptive robust control based on sliding mode and nonlinear compensator for the control of ankle movement using functional electrical stimulation of agonist-antagonist muscles.
TLDR
The results indicate that the decentralized robust control provides excellent tracking control for different reference trajectories and can generate control signals to compensate the muscle fatigue and reject the external disturbance.
Further Results on Predictor-Based Control of Neuromuscular Electrical Stimulation
TLDR
A new predictor-based closed-loop controller called proportional integral derivative controller with delay compensation (PID-DC) is presented in this paper, designed to compensate for EMDs during NMES.
Closed-Loop Neural Network-Based NMES Control for Human Limb Tracking
TLDR
Efforts in this paper focus on the use of a NN feedforward controller that is augmented with a continuous robust feedback term to yield an asymptotic result (in lieu of typical uniformly ultimately bounded stability).
Predictor-Based Compensation for Electromechanical Delay During Neuromuscular Electrical Stimulation
TLDR
This paper provides control development and a mathematical stability analysis of a NMES controller with a predictive term that actively accounts for EMD through the development of a novel predictor-type method to address the delay in the voltage input to the muscle.
A predictor-based compensation for electromechanical delay during neuromuscular electrical stimulation-II
  • N. Sharma
  • Engineering
    2012 American Control Conference (ACC)
  • 2012
TLDR
The developed control method is an improvement over the previous work in which only proportional-derivative (PD)-type delay compensating controller was developed for a completely unknown nonlinear musculoskeletal system and is shown to achieve uniformly ultimately bounded tracking.
A decentralized adaptive robust method for chaos control.
TLDR
This paper presents a control strategy, which is based on sliding mode control, adaptive control, and fuzzy logic system for controlling the chaotic dynamics, that can be used to convert the chaotic orbits not only to the desired periodic ones but also to any desired chaotic motions.
A Human Motor Control-Inspired Control System for a Walking Hybrid Neuroprosthesis
TLDR
The outcome of this research is the development of a human motor control-inspired control framework for the hybrid neuroprosthesis where both FES and electric motors can be simultaneously coordinated to reproduce gait.
Compensating for Fatigue-Induced Time-Varying Delayed Muscle Response in Neuromuscular Electrical Stimulation Control
TLDR
A NMES control method is developed in this chapter as a means to compensate for the varying input delay for the uncertain nonlinear dynamics for the lower limb.
Lyapunov based nonlinear controllers for the chemotherapy of brain tumor

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