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|Title:||Observer-based tracking control for MIMO pure-feedback nonlinear systems with time-delay and input quantisation|
|Citation:||International Journal of Control, 2017; 90(11):2433-2448|
|Publisher:||Taylor & Francis|
|Wenhui Liu, Cheng-Chew Lim, Peng Shi and Shengyuan Xu|
|Abstract:||In addressing the adaptive neural backstepping control for multiple-input and multiple-output nonlinear systems in pure-feedback form with time-delay and input quantisation, we construct a high-gain state observer and an output-feedback adaptive control scheme using backstepping method, with neural networks to estimate the uncertain nonlinear functions. Then, we propose an output feedback neural controller that ensures all the state trajectories in the time-delay quantised nonlinear systems are ultimately bounded, with the control signal being quantised by either a hysteretic quantiser or a logarithmic quantiser. An illustrative example is presented to show the applicability of the new control method developed.|
|Keywords:||Adaptive backstepping control; pure-feedback nonlinear systems; multiple-input and multiple-output (MIMO); neural networks; input quantisation|
|Rights:||© 2016 Informa UK Limited, trading as Taylor & Francis Group|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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