An adaptive observer is used to identify the pre-exponential Arrhenius constant and to provide on line estimation of the unmeasured reactant concentration for a ...
An adaptive observer and nonlinearfeedback control strategy with constraints on con- trol action are developed by using a supervised learning rule ofa ...
An adaptive observer is used to identify the pre-exponential Arrhenius constant and to provide on line estimation of the unmeasured reactant concentration for a ...
Adaptive observer and nonlinear control strategy for chemical reactors via neural networks · ZEXIN HU & XIWEN LU ; Construction of optimal feedback control for ...
In this paper, a novel adaptive control design approach has been developed for a general class of nonlinear systems based on multilayer neural networks.
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In order to implement the advanced power-level control strategies for stronger dynamic performance, some observation structure should be used to reconstruct the ...
In this paper, an adaptive predictive control algorithm is employed to controlling a class of continuous stirred tank reactor (CSTR) system.
Mar 22, 2021 · In this chapter, adaptive controller design for affine uncertain nonlinear systems is discussed. In the first step, a full state feedback ...
First and foremost, linear controllers usually perform poorly when applied to highly nonlinear systems or moderately nonlinear systems that operate over a wide ...
This paper focuses on neural network (NN) based optimal control of nonlinear continuous-time systems in strict-feedback form when the system dynamics are ...