Approximation capabilities of multilayer feedforward networks
Neural Networks
Universal approximation using radial-basis-function networks
Neural Computation
Adaptive nonlinear control without overparametrization
Systems & Control Letters
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems
Automatica (Journal of IFAC)
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping approach
Fuzzy Sets and Systems
Observer-based adaptive control of robot manipulators: Fuzzy systems approach
Applied Soft Computing
Adaptive fuzzy control for strict-feedback canonical nonlinear systems with H∞ tracking performance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
State observer based robust adaptive fuzzy controller for nonlinear uncertain and perturbed systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive robust fuzzy control of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust backstepping control of nonlinear systems using neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach
IEEE Transactions on Fuzzy Systems
A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems
IEEE Transactions on Fuzzy Systems
Fuzzy adaptive sliding-mode control for MIMO nonlinear systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems
IEEE Transactions on Fuzzy Systems
Stable adaptive fuzzy control of nonlinear systems
IEEE Transactions on Fuzzy Systems
Design of Robust Adaptive Controllers for Nonlinear Systems with Dynamic Uncertainties
Automatica (Journal of IFAC)
Brief Robust tracking control for nonlinear MIMO systems via fuzzy approaches
Automatica (Journal of IFAC)
Adaptive NN control of uncertain nonlinear pure-feedback systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
An ISS-modular approach for adaptive neural control of pure-feedback systems
Automatica (Journal of IFAC)
Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems
IEEE Transactions on Neural Networks
Adaptive neural control of uncertain MIMO nonlinear systems
IEEE Transactions on Neural Networks
Nonlinear adaptive control of interconnected systems using neural networks
IEEE Transactions on Neural Networks
Adaptive neural network control for a class of low-triangular-structured nonlinear systems
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
A hierarchical structure of observer-based adaptive fuzzy-neural controller for MIMO systems
Fuzzy Sets and Systems
Interval type 2 hierarchical FNN with the H-infinity condition for MIMO non-affine systems
Applied Soft 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
State observer based dynamic fuzzy logic system for a class of SISO nonlinear systems
International Journal of Automation and Computing
Stability analysis and design of a class of MIMO fuzzy control systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Robust PID TS fuzzy control methodology based on gain and phase margins specifications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.21 |
The universal approximation theorem of the fuzzy logic systems (FLS) is utilized to develop an adaptive control scheme for a class of nonlinear MIMO systems by the backstepping technique. The MIMO systems consist of some subsystems and each subsystem is able to be reputed as non-affine pure-feedback structure. The external disturbances appear in each equation of each subsystem and the disturbance coefficients are assumed to be unknown functions rather than constant one. The two main advantages of the developed scheme are that (1) it does not require a priori knowledge of the signs of the control gains and (2) only one parameter is needed to be adjusted online in controller design procedure for each subsystem. It is proven that, under the appropriate assumptions, the developed scheme can achieve that all the signals in the closed-loop system are bounded and the tracking errors converge to a small neighborhood around zero. Effectiveness of the developed scheme is illustrated by the simulation example.