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Author Cavagnari, L. ♦ Magni, L. ♦ Scattolini, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Neural networks ♦ Control systems ♦ Nonlinear control systems ♦ Stability ♦ Mechanical variables control ♦ Strain control ♦ Sampling methods ♦ Laboratories ♦ Mechanical systems ♦ Signal processing algorithms
Abstract 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, 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 online computations.
Description Author affiliation: Dipt. di Inf. e Sistemistica, Pavia Univ., Italy (Cavagnari, L.)
ISBN 078034104X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-09-04
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 503.40 kB
Page Count 5
Starting Page 158
Ending Page 162


Source: IEEE Xplore Digital Library