Non-fragile Multiple-model Switching Control for Nonlinear Systems

2007 ◽  
Author(s):  
Chengshan Qian ◽  
Chengzhong Hu ◽  
Changsheng Jiang ◽  
Yanqing Wang
Keyword(s):  
Nonlinear Systems ◽  
Switching Control ◽  
Multiple Model

A direct MRAC based multivariable multiple-model switching control scheme

Automatica ◽  
2017 ◽  
Vol 84 ◽  
pp. 190-198 ◽  
Author(s):  
Chang Tan ◽  
Gang Tao ◽  
Ruiyun Qi ◽  
Hui Yang
Keyword(s):  
Switching Control ◽  
Multiple Model ◽  
Control Scheme

Adaptive Filter Design for FDI in Nonlinear Systems Based on Multiple Model Approach

2003 ◽  
Vol 36 (5) ◽  
pp. 645-650 ◽  
Author(s):  
D. Theilliol ◽  
M. Rodrigues ◽  
M. Adam-Medina ◽  
D. Sauter
Keyword(s):  
Nonlinear Systems ◽  
Adaptive Filter ◽  
Filter Design ◽  
Multiple Model ◽  
Model Approach

Multiple-Model Switching Control of Vehicle Longitudinal Dynamics for Platoon-Level Automation

2016 ◽  
Vol 65 (6) ◽  
pp. 4480-4492 ◽  
Author(s):  
Shengbo Eben Li ◽  
Feng Gao ◽  
Dongpu Cao ◽  
Keqiang Li
Keyword(s):  
Switching Control ◽  
Multiple Model ◽  
Longitudinal Dynamics

Neural Network Direct Adaptive Control Strategy for a Class of Switched Nonlinear Systems

2016 ◽  
Vol 138 (8) ◽  
Author(s):  
Lei Yu ◽  
Xiefu Jiang ◽  
Shumin Fei ◽  
Jun Huang ◽  
Gang Yang ◽  
...  
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Control Method ◽  
Average Dwell Time ◽  
Switching Control ◽  
Network Control ◽  
Switched Nonlinear Systems ◽  
Output Tracking ◽  
Direct Adaptive Control ◽  
Adaptive Control Strategy

This paper deals with the adaptive neural network (NN) switching control problem for a class of switched nonlinear systems. Radial basis function (RBF) NNs are utilized to approximate the unknown switching control law term which includes a neural network control term, a supervisory control term, and a compensation control term. Also, based on the average dwell-time, a direct adaptive neural switching controller is designed to heighten the robustness of switching system. We can prove to ensure stability of the resulting closed-loop system such that the output tracking performance can be well obtained and all the signals are kept bounded. Simulation results validate the tracking control performance and investigate the effectiveness of the proposed switching control method.

On Transient Improvement of Variable Structure Controlled Systems Using Multimodel Switching 1

2010 ◽  
Vol 132 (3) ◽  
Author(s):  
Mehmet Akar
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode ◽  
Variable Structure ◽  
Sliding Mode Controller ◽  
Multiple Model ◽  
Robust Tracking ◽  
Controlled Systems ◽  
Control Scheme ◽  
Transient Improvement ◽  
Simulation Results

This paper presents a multiple model/controller scheme for robust tracking of a class of nonlinear systems in the presence of large plant uncertainties and disturbance. Each model is associated with a sliding mode controller, and a switching logic is designed to pick the model that best approximates the plant at each instant. Theoretically, it is shown that the proposed control scheme achieves perfect tracking despite the existence of disturbance, whereas simulation results verify the improvement in the transient performance.

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