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.
Keywords
Cite
@article{arxiv.1304.1124,
title = {A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems},
author = {Hamid R. Berenji and Yung-Yaw Chen and Chuen-Chien Lee and Jyh-Shing Jang and S. Murugesan},
journal= {arXiv preprint arXiv:1304.1124},
year = {2013}
}
Comments
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)