Aircraft Unsteady Aerodynamic Hybrid Modeling Based on State-Space Representation and Neural Network

2016 ◽  
Author(s):  
Ouyang Guang ◽  
Lin Jun ◽  
Zhang Ping
Keyword(s):  
Neural Network ◽  
State Space ◽  
Hybrid Modeling ◽  
Space Representation ◽  
State Space Representation ◽  
Unsteady Aerodynamic

Decentralized Stabilization of Neural Network Linearly Interconnected Systems via T-S Fuzzy Control

2005 ◽  
Vol 129 (3) ◽  
pp. 343-351 ◽  
Author(s):  
Feng-Hsiag Hsiao ◽  
Yew-Wen Liang ◽  
Sheng-Dong Xu ◽  
Gwo-Chuan Lee
Keyword(s):  
Neural Network ◽  
State Space ◽  
Direct Method ◽  
Interconnected Systems ◽  
Space Representation ◽  
Interconnected System ◽  
Decentralized Stabilization ◽  
State Space Representation ◽  
Control Scheme ◽  
Takagi Sugeno

The stabilization problem is considered in this study for a neural-network (NN) linearly interconnected system that consists of a number of NN models. First, a linear difference inclusion (LDI) state-space representation is established for the dynamics of each NN model. Then, based on the LDI state-space representation, a stability criterion in terms of Lyapunov’s direct method is derived to guarantee the asymptotic stability of closed-loop NN linearly interconnected systems. Subsequently, according to this criterion and the decentralized control scheme, a set of Takagi-Sugeno (T-S) fuzzy controllers is synthesized to stabilize the NN linearly interconnected system. Finally, a numerical example with simulations is given to demonstrate the concepts discussed throughout this paper.

scholarly journals Delay-Dependent Exponential Optimal Synchronization for Nonidentical Chaotic Systems via Neural-Network-Based Approach

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Feng-Hsiag Hsiao
Keyword(s):  
Neural Network ◽  
State Space ◽  
Direct Method ◽  
Exponential Synchronization ◽  
Disturbance Attenuation ◽  
Space Representation ◽  
Linear Matrix ◽  
Multiple Time ◽  
State Space Representation ◽  
Delay Dependent

A novel approach is presented to realize the optimal exponential synchronization of nonidentical multiple time-delay chaotic (MTDC) systems via fuzzy control scheme. A neural-network (NN) model is first constructed for the MTDC system. Then, a linear differential inclusion (LDI) state-space representation is established for the dynamics of the NN model. Based on this LDI state-space representation, a delay-dependent exponential stability criterion of the error system derived in terms of Lyapunov's direct method is proposed to guarantee that the trajectories of the slave system can approach those of the master system. Subsequently, the stability condition of this criterion is reformulated into a linear matrix inequality (LMI). According to the LMI, a fuzzy controller is synthesized not only to realize the exponential synchronization but also to achieve the optimal performance by minimizing the disturbance attenuation level at the same time. Finally, a numerical example with simulations is given to demonstrate the effectiveness of our approach.

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