Intelligent control of dynamic systems

✍ Scribed by T.I. Liu; E.J. Ko; J. Lee

• Publisher: Elsevier Science
• Year: 1993
• Tongue: English
• Weight: 698 KB
• Volume: 330
• Category: Article
• ISSN: 0016-0032
• DOI: 10.1016/0016-0032(93)90095-c

✦ Synopsis

A neural network controller is developed to learn the inverse dynamics of unknown dynamic systems and to serve as afeedforward controller. Arttjicial neuralnetworks, which consist of a set oj'processing units with interconnections between them, are used to get the desired output. The interconnections, known as weights, can be on-line tuned. Hence the controher is adaptive in nature. Neural networks can be used to represent the inverse dynamics of unknown dynamic systems. The error back propagation technique is used in the learning process. The controller is intelligent enough to learn from its experience. The performance of the intelligent controller for learning and control of dynamic systems is very successful.