A solution to the decentralized adaptive stabilization problem
Systems & Control Letters
Decentralized adaptive control using integrator backstepping
Automatica (Journal of IFAC)
Approximation-based control of nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Brief paper: Decentralized adaptive control for large-scale time-delay systems with dead-zone input
Automatica (Journal of IFAC)
Fuzzy adaptive observer backstepping control for MIMO nonlinear systems
Fuzzy Sets and Systems
ACT '09 Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
A DSC approach to robust adaptive NN tracking control for strict-feedback nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Decentralized nonlinear adaptive control of an HVAC system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Adaptive fuzzy decentralized control fora class of large-scale nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Time-delay systems: an overview of some recent advances and open problems
Automatica (Journal of IFAC)
Neural network control of a class of nonlinear systems with actuator saturation
IEEE Transactions on Neural Networks
A Recurrent Neural Network for Hierarchical Control of Interconnected Dynamic Systems
IEEE Transactions on Neural Networks
Direct adaptive neural dynamic surface control of uncertain nonlinear systems with input saturation
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
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
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In this paper, a novel decentralized adaptive neural control scheme is proposed for a class of interconnected large-scale uncertain nonlinear time-delay systems with input saturation. RBF neural networks (NNs) are used to tackle unknown nonlinear functions, then the decentralized adaptive NN tracking controller is constructed by combining Lyapunov-Krasovskii functions and the dynamic surface control (DSC) technique along with the minimal-learning-parameters (MLP) algorithm. The stability analysis subject to the effect of input saturation constrains are conducted with the help of an auxiliary design system based on the Lyapunov-Krasovskii method. The proposed controller guarantees uniform ultimate boundedness (UUB) of all the signals in the closed-loop large-scale system, while the tracking errors converge to a small neighborhood of the origin. An advantage of the proposed control scheme lies in that the number of adaptive parameters for each subsystem is reduced to one, and three problems of ''computational explosion'', ''dimension curse'' and ''controller singularity'' are solved, respectively. Finally, a numerical simulation is presented to demonstrate the effectiveness and performance of the proposed scheme.