Matrix analysis
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Fuzzy adaptive control of multivariable nonlinear systems
Fuzzy Sets and Systems
Stable adaptive fuzzy controller with time-varying dead-zone
Fuzzy Sets and Systems - Special issue on formal methods for fuzzy modeling and control
Direct adaptive fuzzy output tracking control of nonlinear systems
Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
Direct adaptive fuzzy control for a class of MIMO nonlinear systems
International Journal of Systems Science
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach
IEEE Transactions on Fuzzy Systems
Stable multi-input multi-output adaptive fuzzy/neural control
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy-based tracking control for nonlinear SISO systems via VSS and H∞ approaches
IEEE Transactions on Fuzzy Systems
Hybrid adaptive fuzzy identification and control of nonlinear systems
IEEE Transactions on Fuzzy Systems
Fuzzy adaptive sliding-mode control for MIMO nonlinear systems
IEEE Transactions on Fuzzy Systems
Brief Robust tracking control for nonlinear MIMO systems via fuzzy approaches
Automatica (Journal of IFAC)
Robust synthesized control of electromechanical actuator for thrust vector system in spacecraft
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Fuzzy incremental control algorithm of loop heat pipe cooling system for spacecraft applications
Computers & Mathematics with Applications
Gait detection based stable locomotion control system for biped robots
Computers & Mathematics with Applications
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In this paper, an indirect adaptive fuzzy control scheme is presented for a class of multi-input and multi-output (MIMO) nonlinear systems whose dynamics are poorly understood. Within this scheme, fuzzy systems are employed to approximate the plant's unknown dynamics. In order to overcome the controller singularity problem, the estimated gain matrix is decomposed into the product of one diagonal matrix and two orthogonal matrices, a robustifying control term is used to compensate for the lumped errors, and all parameter adaptive laws and robustifying control term are derived based on Lyapunov stability analysis. The proposed scheme guarantees that all the signals in the resulting closed-loop system are uniformly ultimately bounded (UUB). Moreover, the tracking errors can be made small enough if the designed parameter is chosen to be sufficiently large. A simulation example is used to demonstrate the effectiveness of the proposed control scheme.