Stability of Time-Delay Systems
Stability of Time-Delay Systems
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive neural control of uncertain MIMO nonlinear systems
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
Neural network-based robust adaptive control of nonlinear systems with unmodeled dynamics
Mathematics and Computers in Simulation
Application of Neural Network approach for Proton Exchange Membrane fuel cell systems
International Journal of Intelligent Systems Technologies and Applications
Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Brief paper: Adaptive backstepping control of uncertain systems with unknown input time-delay
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Adaptive neural control for a class of strict-feedback nonlinear systems with state time delays
IEEE Transactions on Neural Networks
Adaptive control for a class of SISO nonlinear time-varying delay systems with unknown gain signs
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
Fuzzy-approximation-based adaptive control of strict- feedback nonlinear systems with time delays
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Automatica (Journal of IFAC)
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
International Journal of Automation and Computing
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays
Fuzzy Sets and Systems
International Journal of Automation and Computing
Hi-index | 22.15 |
Approximation-based control is presented for a class of multi-input multi-output (MIMO) nonlinear systems in block-triangular form with unknown state delays. Neural networks (NNs) are utilized to approximate and compensate for unknown functions in the system dynamics, including the unknown bounds of the functions of delayed states. The use of a separation technique removes the need for any assumption on the function of delayed states, and allows the handling of multiple delays in each function of delayed states. By combining the use of Lyapunov-Krasovskii functionals and adaptive NN backstepping, the proposed control guarantees that all closed-loop signals remain bounded, while the outputs converge to a neighborhood of the desired trajectories. Simulation results demonstrate the effectiveness of the proposed scheme.