Model description:
The state model of the knee-quadriceps can be expressed as
$$\begin{cases} \begin{align*} \dot{x}_1 &= \left[ s_0 \alpha K_m + s_v q\dfrac{s_0\alpha F_mx_1 - s_ux_2x_1}{1 + px_1 - s_vqx_2}\right] u_{ch} - s_ux_1u_{ch} - \dfrac{s_v ax_1 r_p x_4}{L_0 (1+px_1-s_vqx_2)}\\ \dot{x}_2 &= \left[ \dfrac{s_0\alpha F_m - s_ux_2}{1 + px_1 - s_vqx_2} \right]u_{ch} + \dfrac{bx_1r_px_4 - s_vax_2r_px_4}{L_0(1+px_1-s_vqx_2)}\\ \dot{x}_3 &= x_4\\ \dot{x}_4 &= \dfrac{1}{I}[x_2r_p - \lambda x_3 - \mu x_4 - mgl_c \cos{x_3}], \end{align*} \end{cases}$$
where $\textbf{x}=[x_1, \ldots, x_4]^{\mathrm T} = [K_c, F_c, \theta, \dot{\theta}]^{\mathrm T}$ is the state vector and $\textbf{u}=[u_{ch},\alpha ]^{\mathrm T}$ the control vector. The variable $\theta$ represents the knee joint angle and the variables $K_c, F_c, u_{ch}, \alpha$ represent the state variables of the quadriceps muscle model.
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Publication details:
| Title | Toward lower limbs movement restoration with input-output feedback linearization and model predictive control through functional electrical stimulation |
| Publication Type | Journal Article |
| Year of Publication | 2012 |
| Authors | Mohammed, S., Poignet P., Fraisse P., and Guiraud D. |
| Journal | Control Engineering Practice |
| Volume | 20 |
| Issue | 2 |
| Pagination | 182-195 |
| Date Published | 02/2012 |
| ISSN | 0967-0661 |
| Keywords | Functional electrical stimulation, Input–output feedback linearization, Model predictive control, Muscle modeling, Rehabilitation engineering |
| DOI | 10.1016/j.conengprac.2011.10.010 |
