Finite-Time Stabilization of Discrete-Time Switched Nonlinear Systems Without Stable Subsystems via Optimal Switching Signal Design

2017 ◽  
Vol 25 (1) ◽  
pp. 172-180 ◽  
Author(s):  
Yanbing Mao ◽  
Hongbin Zhang ◽  
Ziang Zhang
Keyword(s):  
Nonlinear Systems ◽  
Discrete Time ◽  
Finite Time ◽  
Signal Design ◽  
Switched Nonlinear Systems ◽  
Optimal Switching ◽  
Switching Signal ◽  
Finite Time Stabilization

Finite-time stabilization of a class of upper-triangular switched nonlinear systems

2019 ◽  
Vol 356 (6) ◽  
pp. 3398-3418 ◽  
Author(s):  
Shipei Huang ◽  
Zhengbing Yan ◽  
Guoqiang Zeng ◽  
Zhengjiang Zhang ◽  
Zhiliang Zhu
Keyword(s):  
Nonlinear Systems ◽  
Finite Time ◽  
Switched Nonlinear Systems ◽  
Finite Time Stabilization

scholarly journals Neural Network Based Finite-Time Stabilization for Discrete-Time Markov Jump Nonlinear Systems with Time Delays

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Fei Chen ◽  
Fei Liu ◽  
Hamid Reza Karimi
Keyword(s):  
Neural Networks ◽  
Nonlinear Systems ◽  
Discrete Time ◽  
Finite Time ◽  
Time Delays ◽  
Sufficient Conditions ◽  
Space Representation ◽  
Linear Matrix ◽  
Markov Jump ◽  
Finite Time Stabilization

This paper deals with the finite-time stabilization problem for discrete-time Markov jump nonlinear systems with time delays and norm-bounded exogenous disturbance. The nonlinearities in different jump modes are parameterized by neural networks. Subsequently, a linear difference inclusion state space representation for a class of neural networks is established. Based on this, sufficient conditions are derived in terms of linear matrix inequalities to guarantee stochastic finite-time boundedness and stochastic finite-time stabilization of the closed-loop system. A numerical example is illustrated to verify the efficiency of the proposed technique.

Sign in / Sign up

Export Citation Format

Share Document