Robust design of stabilizing controllers for interconnected time-delay systems
Automatica (Journal of IFAC)
Journal of Optimization Theory and Applications
Decentralized stabilization of large-scale interconnected time-delay systems
Journal of Optimization Theory and Applications
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Adaptive Systems with Reduced Models
Adaptive Systems with Reduced Models
Stability analysis of T-S fuzzy models for nonlinear multiple time-delay interconnected systems
Mathematics and Computers in Simulation
Decentralized robust model reference adaptive control for interconnected time-delay systems
Journal of Computational and Applied Mathematics
Approximation-based control of nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Output Feedback Stabilization for Time-Delay Nonlinear Interconnected Systems Using Neural Networks
IEEE Transactions on Neural Networks
Diagonal recurrent neural networks for dynamic systems control
IEEE Transactions on Neural Networks
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Information Sciences: an International Journal
Output feedback control of large-scale nonlinear time-delay systems in lower triangular form
Automatica (Journal of IFAC)
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A decentralized adaptive methodology is presented for large-scale nonlinear systems with model uncertainties and time-delayed interconnections unmatched in control inputs. The interaction terms with unknown time-varying delays are bounded by unknown nonlinear bounding functions related to all states and are compensated by choosing appropriate Lyapunov-Krasovskii functionals and using the function approximation technique based on neural networks. The proposed memoryless local controller for each subsystem can simply be designed by extending the dynamic surface design technique to nonlinear systems with time-varying delayed interconnections. In addition, we prove that all the signals in the closed-loop system are semiglobally uniformly bounded, and the control errors converge to an adjustable neighborhood of the origin. Finally, an example is provided to illustrate the effectiveness of the proposed control system.