The nature of statistical learning theory
The nature of statistical learning theory
Persistence of excitation conditions in passive learning control
Automatica (Journal of IFAC)
Approximation-based control of nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy wavelet networks for function learning
IEEE Transactions on Fuzzy Systems
Brief Paper: Design and performance analysis of a direct adaptive controller for nonlinear systems
Automatica (Journal of IFAC)
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
Automatica (Journal of IFAC)
Nonlinear adaptive control using neural networks and multiple models
Automatica (Journal of IFAC)
Stable adaptive neurocontrol for nonlinear discrete-time systems
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
Exponential ϵ-regulation for multi-input nonlinear systems using neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Neural network control of a class of nonlinear systems with actuator saturation
IEEE Transactions on Neural Networks
Nonlinear Adaptive Wavelet Control Using Constructive Wavelet Networks
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
Adaptive Control of a Class of Nonaffine Systems Using Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive Synchronization Between Two Different Chaotic Neural Networks With Time Delay
IEEE Transactions on Neural Networks
Adaptive fuzzy control of an active vibration isolator
ISNN'11 Proceedings of the 8th 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
Information Sciences: an International Journal
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In this paper, we address the problem of adaptive neural control for a class of multi-input multi-output (MIMO) nonlinear time-delay systems in block-triangular form. Based on a neural network (NN) online approximation model, a novel adaptive neural controller is obtained by constructing a novel quadratic-type Lyapunov-Krasovskii functional, which not only efficiently avoids the controller singularity, but also relaxes the restriction on unknown virtual control coefficients. The merit of the suggested controller design scheme is that the number of online adapted parameters is independent of the number of nodes of the neural networks, which reduces the number of the online adaptive learning laws considerably. The proposed controller guarantees that all closed-loop signals remain bounded, while the output tracking error dynamics converges to a neighborhood of the origin. A simulation example is given to illustrate the design procedure and performance of the proposed method.