Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering

2008 ◽  
Vol 35 (11) ◽  
pp. 3412-3438 ◽  
Author(s):  
Doris Sáez ◽  
Cristián E. Cortés ◽  
Alfredo Núñez
Keyword(s):  
Genetic Algorithms ◽  
Predictive Control ◽  
Fuzzy Clustering ◽  
Vehicle Dynamic ◽  
Delivery Problem ◽  
Adaptive Predictive Control

Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem

2009 ◽  
Vol 43 (1) ◽  
pp. 27-42 ◽  
Author(s):  
Cristián E. Cortés ◽  
Doris Sáez ◽  
Alfredo Núñez ◽  
Diego Muñoz-Carpintero
Keyword(s):  
Predictive Control ◽  
Pickup And Delivery ◽  
Delivery Problem ◽  
Pickup And Delivery Problem ◽  
Adaptive Predictive Control

Adaptive Predictive Based on Equal-Dimension and New Information for the Hydraulic Mechanism of Wave Motion Compensating Platform

2010 ◽  
Vol 20-23 ◽  
pp. 236-242 ◽  
Author(s):  
Zhi Gang Zeng ◽  
Guo Hua Chen
Keyword(s):  
Predictive Control ◽  
Wave Motion ◽  
Control Policy ◽  
Least Square ◽  
Problem Solution ◽  
New Information ◽  
Hydraulic Mechanism ◽  
Heave Motion ◽  
Adaptive Predictive Control ◽  
The Impact

A wave motion compensating platform has the function of compensating the ship’s generalized heave motion (a coupling result of roll, pitch and heave). It can decrease the impact of ship motion on some sea works and equipments. The hydraulic mechanism of platform system has the characteristics of nonlinear and big inertia. In order to compensate generalized heave motion effectively, an adaptive predictive control policy is used for controlling the hydraulic mechanism. Based on equal-dimension and new information, an automation regressive model can get adaptive multi-step prediction. The model parameter estimation based on the least square algorithm is easy to blow up and be unstable when the system has random noise. To improve the problem solution, a damped recursive least square algorithm is proposed to estimate the parameters on line. For the short regulation time, strong anti-disturbance ability and great robustness, a nonlinear PID controller whose gain parameters vary with errors is suitable for controlling the hydraulic mechanism. Using the collected experimental data, the simulations suggest that adopting the above adaptive predictive control policy to control hydraulic mechanism is able to decrease the generalized heave amplitude of wave motion compensating platform.

Adaptive Predictive Control for Industrial Processes

2021 ◽  
Author(s):  
Emanuel Bernardi ◽  
Hugo Pipino ◽  
Carlos A. Cappelletti ◽  
Eduardo J. Adam
Keyword(s):  
Predictive Control ◽  
Industrial Processes ◽  
Adaptive Predictive Control

Discrete-time adaptive predictive control system by 2-port design

1989 ◽  
Vol 20 (3) ◽  
pp. 443-455
Author(s):  
HSIAO-PING HUANG ◽  
HSIEN-SHENG LIN ◽  
YUNG-CHENG CHAO
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Discrete Time ◽  
Port Design ◽  
Adaptive Predictive Control
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