A parameter estimation perspective of continuous time model reference adaptive control
Automatica (Journal of IFAC)
The extended Luenberger observer for nonlinear systems
Systems & Control Letters
Adaptive control: stability, convergence, and robustness
Adaptive control: stability, convergence, and robustness
Stable adaptive systems
The H∞ control problem
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
A course in fuzzy systems and control
A course in fuzzy systems and control
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
Stable adaptive fuzzy controllers with application to inverted pendulum tracking
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonlinear adaptive control using the Fourier integral and itsapplication to CSTR systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
H∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Stable adaptive fuzzy control of nonlinear systems
IEEE Transactions on Fuzzy Systems
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays
Fuzzy Sets and Systems
Adaptive NN control for a class of chemical reactor systems
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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In this paper, an adaptive fuzzy controller, based on backstepping technique, has been proposed for temperature control of a general class of continuous stirred tank reactors (CSTRs). Using the observability concept, an adaptive fuzzy controller using temperature measurement has been designed. A fuzzy logic system is used to estimate the concentration dependent terms and other unknown system parameters appearing in the control law. It is shown that the closed loop system is asymptotically stable and influences of minimum approximation error and external disturbance on the L"2 norm of the output tracking error can be attenuated arbitrarily. The performance of the proposed controller has been examined for temperature control of an unstable reactor and its effectiveness has been demonstrated through computer simulation.