Title :
Cubic neural unit for control applications
Author :
Song, Ki-Young ; Redlapalli, Sanjeevakumar ; Gupta, Madan M.
Author_Institution :
Intelligent Syst. Res. Lab., Saskatchewan Univ., Saskatoon, Sask.
Abstract :
A novel neural structure called a cubic neural unit (CNU) is developed. The CNU can be used as a nonlinear controller for controlling the continuous dynamic plants. The structure and the mathematical details of the CNU are described briefly, and an example is used to show the usefulness of the CNU as a nonlinear controller. Neural structures, linear and quadratic, are used as state controllers for complex control systems such as satellite control. Results of all neural structures as neurocontrollers are shown
Keywords :
continuous time systems; neurocontrollers; nonlinear control systems; nonlinear dynamical systems; complex control systems; continuous dynamic plants; cubic neural unit; dynamic neural unit; higher order neural unit; neural structure; neurocontrollers; nonlinear controller; satellite control; state controllers; Control systems; Differential equations; Feedforward neural networks; Intelligent systems; Mechanical engineering; Multi-layer neural network; Neural networks; Neurons; Nonlinear systems; Satellites;
Conference_Titel :
Uncertainty Modeling and Analysis, 2003. ISUMA 2003. Fourth International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-7695-1997-0
DOI :
10.1109/ISUMA.2003.1236181