arXiv · 1304.1124
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.
Explore related subjects
Keep this discovery
Hamid R. Berenji, Yung-Yaw Chen, Chuen-Chien Lee, Jyh-Shing Jang, S. Murugesan. 2013-03-27. A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems. https://arxiv.org/abs/1304.1124
Cite the original work for its findings. Save a collection to share your selection of sources.