The H∞ control problem
Frustration, stability, and delay-induced oscillations in a neural network model
SIAM Journal on Applied Mathematics
An LMI approach to H∞ controller design for linear time-delay systems
Automatica (Journal of IFAC)
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to stability criteria of neural-network control systems
IEEE Transactions on Neural Networks
Control of perturbed systems using neural networks
IEEE Transactions on Neural Networks
Neural network-based control design: an LMI approach
IEEE Transactions on Neural Networks
A neural network for linear matrix inequality problems
IEEE Transactions on Neural Networks
High-order neural network structures for identification of dynamical systems
IEEE Transactions on Neural Networks
H∞ Control Design Using Dynamic Neural Networks
Neural Processing Letters
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An approach is investigated for the adaptive guaranteed cost control design for a class of nonlinear state-delayed systems. The nonlinear term is approximated by a linearly parameterized neural networks( LPNN). A linear state feedback H∞ control law is presented. An adaptive weight adjustment mechanism for the neural networks is developed to ensure H∞ regulation performance. It is shown that the control gain matrices and be transformed into a standard linear matrix inequality problem and solved via a developed recurrent neural network.