IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Adaptive backstepping fuzzy control for nonlinearly parameterized systems with periodic disturbances
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Information Sciences: an International Journal
Adaptive neural control for a class of large-scale pure-feedback nonlinear systems
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Output feedback control of large-scale nonlinear time-delay systems in lower triangular form
Automatica (Journal of IFAC)
SAR image segmentation based on quantum-inspired multiobjective evolutionary clustering algorithm
Information Processing Letters
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An adaptive backstepping neural-network control approach is extended to a class of large-scale nonlinear output-feedback systems with completely unknown and mismatched interconnections. The novel contribution is to remove the common assumptions on interconnections such as matching condition, bounded by upper bounding functions. Differentiation of the interconnected signals in backstepping design is avoided by replacing the interconnected signals in neural inputs with the reference signals. Furthermore, two kinds of unknown modeling errors are handled by the adaptive technique. All the closed-loop signals are guaranteed to be semiglobally uniformly ultimately bounded, and the tracking errors are proved to converge to a small residual set around the origin. The simulation results illustrate the effectiveness of the control approach proposed in this correspondence.