Sliding mode fuzzy control for nonlinear stochastic systems subject to pole assignment and variance constraint

2018 ◽  
Vol 432 ◽  
pp. 133-145 ◽  
Author(s):  
Wen-Jer Chang ◽  
Hong-Yu Qiao ◽  
Cheung-Chieh Ku
Keyword(s):  
Fuzzy Control ◽  
Stochastic Systems ◽  
Sliding Mode ◽  
Pole Assignment ◽  
Nonlinear Stochastic Systems

scholarly journals Recent Advances on Recursive Filtering and Sliding Mode Design for Networked Nonlinear Stochastic Systems: A Survey

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Hu ◽  
Zidong Wang ◽  
Hongli Dong ◽  
Huijun Gao
Keyword(s):  
Stochastic Systems ◽  
Sliding Mode ◽  
Future Research ◽  
Missing Measurements ◽  
Nonlinear Stochastic Systems ◽  
Design Problems ◽  
Recursive Filtering ◽  
Mode Design ◽  
Recent Advances ◽  
Randomly Occurring Uncertainties

Some recent advances on the recursive filtering and sliding mode design problems for nonlinear stochastic systems with network-induced phenomena are surveyed. The network-induced phenomena under consideration mainly include missing measurements, fading measurements, signal quantization, probabilistic sensor delays, sensor saturations, randomly occurring nonlinearities, and randomly occurring uncertainties. With respect to these network-induced phenomena, the developments on filtering and sliding mode design problems are systematically reviewed. In particular, concerning the network-induced phenomena, some recent results on the recursive filtering for time-varying nonlinear stochastic systems and sliding mode design for time-invariant nonlinear stochastic systems are given, respectively. Finally, conclusions are proposed and some potential future research works are pointed out.

A new integral sliding mode design method for nonlinear stochastic systems

Automatica ◽  
2018 ◽  
Vol 90 ◽  
pp. 304-309 ◽  
Author(s):  
Yueying Wang ◽  
Yuanqing Xia ◽  
Hongyi Li ◽  
Pingfang Zhou
Keyword(s):  
Stochastic Systems ◽  
Sliding Mode ◽  
Design Method ◽  
Nonlinear Stochastic Systems ◽  
Integral Sliding Mode ◽  
Mode Design

A novel alleviating fuzzy control algorithm for a class of nonlinear stochastic systems in pure-feedback form

2020 ◽  
Vol 392 ◽  
pp. 195-209
Author(s):  
Rui Wang ◽  
Yanjun Liu ◽  
Fusheng Yu ◽  
Jiayin Wang ◽  
Xiao Wang ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Stochastic Systems ◽  
Feedback Form ◽  
Nonlinear Stochastic Systems ◽  
Fuzzy Control Algorithm
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