Acquisition of robot control rules by evolving MDDs

2010 ◽  
Author(s):  
Masashi Sakai ◽  
Yutaro Tomoto ◽  
Masayoshi Kanoh ◽  
Tsuyoshi Nakamura ◽  
Hidenori Itoh
Keyword(s):  
Robot Control ◽  
Control Rules

Robot Control—Theory and Applications

IEE Review ◽  
1988 ◽  
Vol 34 (7) ◽  
pp. 280
Author(s):  
A.G. Blay
Keyword(s):  
Control Theory ◽  
Robot Control

Routing Optimization with Efficient Second Order Distributed Approach Using Congestion Control Rules

2017 ◽  
Vol 7 (7) ◽  
pp. 363
Author(s):  
Jaya Pratha Sebastiyar ◽  
Martin Sahayaraj Joseph
Keyword(s):  
Congestion Control ◽  
Second Order ◽  
Back Pressure ◽  
Order Method ◽  
Delay Performance ◽  
Routing Optimization ◽  
Distributed Approach ◽  
Control Rules ◽  
Primal Dual ◽  
Queue Stability

Distributed joint congestion control and routing optimization has received a significant amount of attention recently. To date, however, most of the existing schemes follow a key idea called the back-pressure algorithm. Despite having many salient features, the first-order sub gradient nature of the back-pressure based schemes results in slow convergence and poor delay performance. To overcome these limitations, the present study was made as first attempt at developing a second-order joint congestion control and routing optimization framework that offers utility-optimality, queue-stability, fast convergence, and low delay.  Contributions in this project are three-fold. The present study propose a new second-order joint congestion control and routing framework based on a primal-dual interior-point approach and established utility-optimality and queue-stability of the proposed second-order method. The results of present study showed that how to implement the proposed second-order method in a distributed fashion.

RESEARCH ON THE EFFECTIVENESS OF EMPIRICAL DECISION CONTROL RULES

2019 ◽  
Author(s):  
E. I. Kazakova ◽  
E. N. Govorukha ◽  
S. Chernovol ◽  
V. Cherepov ◽  
R. Romashov ◽  
...  
Keyword(s):  
Control Rules ◽  
Decision Control

Flexible Two-wheeled Self-balancing Robot Control Based on Hopfield Neural Network

ROBOT ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 405-413
Author(s):  
Xiaogang RUAN ◽  
Jianwei ZHAO
Keyword(s):  
Neural Network ◽  
Robot Control ◽  
Hopfield Neural Network ◽  
Balancing Robot

Remote Two-wheel Robot control using OPC-UA

2020 ◽  
Author(s):  
Seung-Jun Lee ◽  
Woojin Kim ◽  
Yang Koo Lee ◽  
DaeSub Yoon ◽  
Jun wook Lee
Keyword(s):  
Robot Control

Safety in Robot Control Systems

1988 ◽  
Vol 21 (9) ◽  
pp. 266-271 ◽  
Author(s):  
G R Ward
Keyword(s):  
Control Systems ◽  
Robot Control
Sign in / Sign up

Export Citation Format

Share Document