Further Results on Adaptive Stabilization of High-Order Stochastic Nonlinear Systems Subject to Uncertainties

• Published in: IEEE transaction on neural networks and learning systems Vol. 31; no. 1; pp. 225 - 234
• Main Authors: Min, Huifang, Xu, Shengyuan, Gu, Jason, Zhang, Baoyong, Zhang, Zhengqiang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Adaptive systems; Artificial neural networks; Control systems; Delays; Feedback; Feedback control; high-order stochastic nonlinear systems; Neural networks; Nonlinear systems; Parameter uncertainty; Perturbation; Radial basis function; radial basis function neural network (RBF NN); Stochastic processes; Stochastic systems; Stochasticity; time delay; Uncertainty; unknown control gain

This paper concerns the adaptive state-feedback control for a class of high-order stochastic nonlinear systems with uncertainties including time-varying delay, unknown control gain, and parameter perturbation. The commonly used growth assumptions on system nonlinearities are removed, and the adaptiv...