Neural Network implementation of a nonlinear Receding-Horizon controller

被引：0
|
作者：
Cavagnari, L [1 ]
Magni, L [1 ]
Scattolini, R [1 ]
机构：
[1] Univ Pavia, Dipartimento Informat & Sistemist, I-27100 Pavia, Italy
来源：
PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2 | 1996年
关键词：
Receding-Horizon control; nonlinear control; Neural Network; mechanical systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents the application of an output feedback Nonlinear Receding Horizon control algorithm to a laboratory seesaw equipment. This control law guarantees exponential stability of the equilibrium and allows one to consider the presence of control and state constraints. Since the specific control application requires a small sampling interval (0.05s), the nonlinear control law is computed off-line for different values of the initial state. Then, an approximating function is derived with the aid of a Neural Net, which is subsequently implemented for on-line computations.
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页码：158 / 162
页数：5
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