Some Control Problems in the Process Industries

1993 ◽  
pp. 55-77 ◽  
Author(s):  
M. Morari
Keyword(s):  
Control Problems ◽  
Process Industries

scholarly journals Neuro-PID Control for Electric Vehicle

2011 ◽  
Vol 15 (7) ◽  
pp. 846-853 ◽  
Author(s):  
Shigeru Omatu ◽  
◽  
Michifumi Yoshioka ◽  
Toru Fujinaka ◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Control Method ◽  
Torque Control ◽  
Learning Ability ◽  
Control Problems ◽  
Process Industries ◽  
The Neural Network ◽  
Control Scheme ◽  
Self Tuning

In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.

Communication and coordination failures in the process industries

2008 ◽  
Author(s):  
Jason C. Laberge ◽  
Peter Bullemer ◽  
Stephen D. Whitlow
Keyword(s):  
Process Industries ◽  
Coordination Failures ◽  
Communication And Coordination

Self-Control Problems Measure

2011 ◽  
Author(s):  
Kevin M. King ◽  
Charles B. Fleming ◽  
Kathryn C. Monahan ◽  
Richard F. Catalano
Keyword(s):  
Self Control ◽  
Control Problems

On closed-loop equilibrium strategies for mean-field stochastic linear quadratic problems

2020 ◽  
Vol 26 ◽  
pp. 41
Author(s):  
Tianxiao Wang
Keyword(s):  
Optimal Control ◽  
Closed Loop ◽  
Optimal Control Problems ◽  
Mean Field ◽  
Open Loop ◽  
Time Inconsistency ◽  
Control Problems ◽  
Linear Quadratic ◽  
Linear Quadratic Optimal Control ◽  
Equilibrium Strategies

This article is concerned with linear quadratic optimal control problems of mean-field stochastic differential equations (MF-SDE) with deterministic coefficients. To treat the time inconsistency of the optimal control problems, linear closed-loop equilibrium strategies are introduced and characterized by variational approach. Our developed methodology drops the delicate convergence procedures in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. When the MF-SDE reduces to SDE, our Riccati system coincides with the analogue in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. However, these two systems are in general different from each other due to the conditional mean-field terms in the MF-SDE. Eventually, the comparisons with pre-committed optimal strategies, open-loop equilibrium strategies are given in details.

Solution of Certain Initial Control Problems by the Optimal Set Partition Method

1997 ◽  
Vol 29 (4-5) ◽  
pp. 89-98
Author(s):  
Vladimir E. Kapustyan ◽  
Elena M. Kiseleva ◽  
L. S. Krokha
Keyword(s):  
Control Problems ◽  
Set Partition ◽  
Initial Control ◽  
Partition Method ◽  
Optimal Set

Sweep Algorithm for Solving Discrete Optimal Control Problems with Three-point Boundary Conditions

2008 ◽  
Vol 40 (7) ◽  
pp. 48-58 ◽  
Author(s):  
Fikret Akhmed Ali Ogly Aliev ◽  
Rena Takhir kyzy Zulfugarova ◽  
Mutallim Mirzaakhmed ogly Mutallimov
Keyword(s):  
Optimal Control ◽  
Boundary Conditions ◽  
Optimal Control Problems ◽  
Control Problems ◽  
Point Boundary ◽  
Discrete Optimal Control ◽  
Sweep Algorithm
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