Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings         Authors   Author's Info   Article details         Search    
A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems
Hamid Berenji, Yung-Yaw Chen, Chuen-Chien Lee, Jyh-Shing Jang, S. Murugesan
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:
Pages: 362-369
PS Link:
PDF Link: /papers/90/p362-berenji.pdf
BibTex:
@INPROCEEDINGS{Berenji90,
AUTHOR = "Hamid Berenji and Yung-Yaw Chen and Chuen-Chien Lee and Jyh-Shing Jang and S. Murugesan",
TITLE = "A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems",
BOOKTITLE = "Proceedings of the Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1990",
PAGES = "362--369"
}


hosted by DSL   •   site info   •   help