Self-triggered Control for Nonlinear Systems: A New Design Scenario From the Control Signal Perspective

2020 ◽  
Author(s):  
Lantao Xing ◽  
Changyun Wen ◽  
Yu-Chu Tian ◽  
Yang Yang
Keyword(s):  
Nonlinear Systems ◽  
Control Signal ◽  
Design Scenario

The RAPT Control Method for Nonlinear Systems

1991 ◽  
Vol 113 (4) ◽  
pp. 736-741
Author(s):  
T. W. Long ◽  
C. K. Carrington
Keyword(s):  
Nonlinear Systems ◽  
Control Method ◽  
Control Signal ◽  
System Model ◽  
Real Time Control ◽  
State Equations ◽  
Preview Control ◽  
Time Control ◽  
Planar Manipulators ◽  
Linearized System

The Rapid Advancement Preview Tracking (RAPT) control method uses both a nonlinear system model and a linearized system model to provide a form of feedback/preview control for nonlinear systems. It uses measurements of the states to calculate the current preview control signal from a local linearization of the state equations, and then iteratively calculates a perturbation correction for that control using the nonlinear equations. The corrected control signal is then applied to the system, driving the end-effector to the next position along a specified trajectory. Computer simulations of tracking control for two-link planar manipulators indicate that this algorithm may be fast enough for real-time control.

Identification of Continuous-time Nonlinear Systems via Local Gaussian Process Models

2014 ◽  
Vol 134 (11) ◽  
pp. 1708-1715
Author(s):  
Tomohiro Hachino ◽  
Kazuhiro Matsushita ◽  
Hitoshi Takata ◽  
Seiji Fukushima ◽  
Yasutaka Igarashi
Keyword(s):  
Nonlinear Systems ◽  
Gaussian Process ◽  
Continuous Time ◽  
Process Models ◽  
Gaussian Process Models

Modeling of Nonlinear Systems using Genetic Algorithm

2012 ◽  
Vol 132 (6) ◽  
pp. 913-918 ◽  
Author(s):  
Kayoko Hayashi ◽  
Toru Yamamoto ◽  
Kazuo Kawada
Keyword(s):  
Genetic Algorithm ◽  
Nonlinear Systems
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