Title :
Optimal control for nonlinear systems via dynamic neural network control (DNNC)
Author :
Nikravesh, Masoud ; Stanford, Thomas G.
Author_Institution :
Dept. of Chem. Eng., South Carolina Univ., Columbia, SC, USA
Abstract :
Design techniques for nonlinear dynamic systems are closely related to their stability properties. Stability results can be used to design an optimal controller. The paper discusses the stability analysis of the dynamic neural network control (DNNC). The results from the DNNC stability analysis are used to define the neural network stability index (NNSI). NNSI can be used to determine the optimal DNNC network structure and controller. An optimal DNNC is designed for the nonisothermal CSTR as an example of a wide class of nonlinear processes
Keywords :
chemical technology; intelligent control; neurocontrollers; nonlinear dynamical systems; optimal control; process control; stability; design techniques; dynamic neural network control; neural network stability index; nonisothermal CSTR; nonlinear dynamic systems; nonlinear processes; nonlinear systems; optimal control; optimal controller; optimal network structure; stability analysis; stability properties; Continuous-stirred tank reactor; Control system synthesis; Control systems; Equations; Neural networks; Nonlinear control systems; Nonlinear systems; Open loop systems; Optimal control; Stability analysis;
Conference_Titel :
System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
Conference_Location :
Starkville, MS
Print_ISBN :
0-8186-6985-3
DOI :
10.1109/SSST.1995.390528
