A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems
Automatica (Journal of IFAC)
A Neural Net Predictive Control for Telerobots with Time Delay
Journal of Intelligent and Robotic Systems
Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximation Techniques
Automatica (Journal of IFAC)
Observer-based adaptive control of robot manipulators: Fuzzy systems approach
Applied Soft Computing
Neuro-adaptive motion control with velocity observer in operational space formulation
Robotics and Computer-Integrated Manufacturing
Brief paper: Stability analysis of stochastic networked control systems
Automatica (Journal of IFAC)
Adaptive observer backstepping control using neural networks
IEEE Transactions on Neural Networks
A decentralized control of interconnected systems using neural networks
IEEE Transactions on Neural Networks
Neural-network predictive control for nonlinear dynamic systems with time-delay
IEEE Transactions on Neural Networks
Adaptive neural control of uncertain MIMO nonlinear systems
IEEE Transactions on Neural Networks
Adaptive neural control for a class of nonlinearly parametric time-delay systems
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive neural network control for a class of low-triangular-structured nonlinear systems
IEEE Transactions on Neural Networks
Hi-index | 0.01 |
A new neural network observer-based networked control structure for a class of nonlinear systems is developed and analyzed. The structure is divided into three parts: local linearized subsystem, communication channels and remote predictive controller. A neural-network-based adaptive observer is presented to approximate the state of the time-delay-free nonlinear system. The neural-network (NN) weights are tuned on-line and no exact knowledge of nonlinearities is required. The time delays considered in the forward and backward communication channels are constant and equal. A modified Smith predictor is proposed to compensate the time delays. The controller is designed based on the developed NN observer and the proposed Smith predictor. By using the Lyapunov theory, rigorous stability proofs for the closed-loop system are presented. Finally, simulations are performed and the results show the effectiveness of the proposed control strategy.