Neural Network H∞ State Feedback Control with Actuator Saturation: The Nonlinear Benchmark Problem

2005 ◽  
Author(s):  
M. Abu-Khalaf ◽  
F.L. Lewis ◽  
Jie Huang
Keyword(s):  
Neural Network ◽  
Feedback Control ◽  
State Feedback ◽  
Actuator Saturation ◽  
State Feedback Control ◽  
Benchmark Problem

scholarly journals Robust Mixed H2/H∞ State Feedback Controller Development for Uncertain Automobile Suspensions with Input Delay

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 359
Author(s):  
Nan Liu ◽  
Hui Pang ◽  
Rui Yao
Keyword(s):  
Feedback Control ◽  
State Feedback ◽  
Actuator Saturation ◽  
Output Feedback Control ◽  
Active Suspension ◽  
Feedback Controller ◽  
State Feedback Control ◽  
Linear Matrix ◽  
Control Approach ◽  
State Feedback Controller

In order to achieve better dynamics performances of a class of automobile active suspensions with the model uncertainties and input delays, this paper proposes a generalized robust linear H2/H∞ state feedback control approach. First, the mathematical model of a half-automobile active suspension is established. In this model, the H∞ norm of body acceleration is determined as the performance index of the designed controller, and the hard constraints of suspension dynamic deflection, tire dynamic load and actuator saturation are selected as the generalized H2 performance output index of the designed controller to satisfy the suspension safety requirements. Second, a generalized H2/H∞ guaranteed cost state-feedback controller is developed in terms of Lyapunov stability theory. In addition, the Cone Complementarity Linearization (CCL) algorithm is employed to convert the generalized H2/H∞ output-feedback control problem into a finite convex optimization problem (COP) in a linear matrix inequality framework. Finally, a numerical simulation case of this half-automobile active suspension is presented to illustrate the effectiveness of the proposed controller in frequency-domain and time-domain.

Neural Network-based State Feedback Control of Parallel UPS System

2021 ◽  
Author(s):  
Hui Fang ◽  
Te Zhu ◽  
Long Ran ◽  
He Peng ◽  
Hongting Hua ◽  
...  
Keyword(s):  
Neural Network ◽  
Feedback Control ◽  
State Feedback ◽  
State Feedback Control
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