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Strict-feedback form : ウィキペディア英語版
Strict-feedback form

In control theory, dynamical systems are in strict-feedback form when they can be expressed as
:\begin \dot) + g_0(\mathbf) z_1\\
\dot_1 = f_1(\mathbf,z_1) + g_1(\mathbf,z_1) z_2\\
\dot_2 = f_2(\mathbf,z_1,z_2) + g_2(\mathbf,z_1,z_2) z_3\\
\vdots\\
\dot_i = f_i(\mathbf,z_1, z_2, \ldots, z_, z_i) + g_i(\mathbf,z_1, z_2, \ldots, z_, z_i) z_ \quad \text 1 \leq i < k-1\\
\vdots\\
\dot_ = f_(\mathbf,z_1, z_2, \ldots, z_) + g_(\mathbf,z_1, z_2, \ldots, z_) z_k\\
\dot_k = f_k(\mathbf,z_1, z_2, \ldots, z_, z_k) + g_k(\mathbf,z_1, z_2, \dots, z_, z_k) u\end
where
* \mathbf \in \mathbb^n with n \geq 1,
* z_1, z_2, \ldots, z_i, \ldots, z_, z_k are scalars,
* u is a scalar input to the system,
* f_0, f_1, f_2, \ldots, f_i, \ldots, f_, f_k vanish at the origin (i.e., f_i(0,0,\dots,0) = 0),
* g_1, g_2, \ldots, g_i, \ldots, g_, g_k are nonzero over the domain of interest (i.e., g_i(\mathbf,z_1,\ldots,z_k) \neq 0 for 1 \leq i \leq k).
Here, ''strict feedback'' refers to the fact that the nonlinear functions f_i and g_i in the \dot_i equation only depend on states x, z_1, \ldots, z_i that are ''fed back'' to that subsystem. That is, the system has a kind of lower triangular form.
==Stabilization==

:(詳細はstabilized by recursive application of backstepping.〔 That is,
# It is given that the system
#::\dot) + g_0(\mathbf) u_x(\mathbf)
#:is already stabilized to the origin by some control u_x(\mathbf) where u_x(\mathbf) = 0. That is, choice of u_x to stabilize this system must occur using some other method. It is also assumed that a Lyapunov function V_x for this stable subsystem is known.
# A control u_1(\mathbf,z_1) is designed so that the system
#::\dot_1 = f_1(\mathbf,z_1) + g_1(\mathbf,z_1) u_1(\mathbf,z_1)
#:is stabilized so that z_1 follows the desired u_x control. The control design is based on the augmented Lyapunov function candidate
#::V_1(\mathbf,z_1) = V_x(\mathbf) + \frac( z_1 - u_x(\mathbf) )^2
#:The control u_1 can be picked to bound \dot_1 away from zero.
# A control u_2(\mathbf,z_1,z_2) is designed so that the system
#::\dot_2 = f_2(\mathbf,z_1,z_2) + g_2(\mathbf,z_1,z_2) u_2(\mathbf,z_1,z_2)
#:is stabilized so that z_2 follows the desired u_1 control. The control design is based on the augmented Lyapunov function candidate
#::V_2(\mathbf,z_1,z_2) = V_1(\mathbf,z_1) + \frac( z_2 - u_1(\mathbf,z_1) )^2
#:The control u_2 can be picked to bound \dot_2 away from zero.
# This process continues until the actual u is known, and
#
* The ''real'' control u stabilizes z_k to ''fictitious'' control u_.
#
* The ''fictitious'' control u_ stabilizes z_ to ''fictitious'' control u_.
#
* The ''fictitious'' control u_ stabilizes z_ to ''fictitious'' control u_.
#
* ...
#
* The ''fictitious'' control u_2 stabilizes z_2 to ''fictitious'' control u_1.
#
* The ''fictitious'' control u_1 stabilizes z_1 to ''fictitious'' control u_x.
#
* The ''fictitious'' control u_x stabilizes \mathbf to the origin.
This process is known as backstepping because it starts with the requirements on some internal subsystem for stability and progressively ''steps back'' out of the system, maintaining stability at each step. Because
* f_i vanish at the origin for 0 \leq i \leq k,
* g_i are nonzero for 1 \leq i \leq k,
* the given control u_x has u_x(\mathbf) = 0,
then the resulting system has an equilibrium at the origin (i.e., where \mathbf=\mathbf\,, z_1=0, z_2=0, ... , z_=0, and z_k=0) that is globally asymptotically stable.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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