A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems
Abstract
This paper presents a new technique for the design of approximate reasoning based controllers for dynamic physical systems with interacting goals. In this approach, goals are achieved based on a hierarchy defined by a control knowledge base and remain highly interactive during the execution of the control task. The approach has been implemented in a rule-based computer program which is used in conjunction with a prototype hardware system to solve the cart-pole balancing problem in real-time. It provides a complementary approach to the conventional analytical control methodology, and is of substantial use where a precise mathematical model of the process being controlled is not available.
Cite
Text
Berenji et al. "A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems." Conference on Uncertainty in Artificial Intelligence, 1990.Markdown
[Berenji et al. "A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems." Conference on Uncertainty in Artificial Intelligence, 1990.](https://mlanthology.org/uai/1990/berenji1990uai-hierarchical/)BibTeX
@inproceedings{berenji1990uai-hierarchical,
title = {{A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems}},
author = {Berenji, Hamid R. and Chen, Yung-Yaw and Lee, Chuen-Chien and Jang, Jyh-Shing Roger and Murugesan, S.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1990},
pages = {331-346},
url = {https://mlanthology.org/uai/1990/berenji1990uai-hierarchical/}
}