Journal ArticleDOI
Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer
Mou Chen,Shuzhi Sam Ge +1 more
TLDR
Both state feedback and output feedback direct adaptive controls can guarantee semiglobal uniform boundedness of the closed-loop system signals as rigorously proved by Lyapunov analysis.Abstract:
In this paper, the direct adaptive neural control is proposed for a class of uncertain nonaffine nonlinear systems with unknown nonsymmetric input saturation. Based on the implicit function theorem and mean value theorem, both state feedback and output feedback direct adaptive controls are developed using neural networks (NNs) and a disturbance observer. A compounded disturbance is defined to take into account of the effect of the unknown external disturbance, the unknown nonsymmetric input saturation, and the approximation error of NN. Then, a disturbance observer is developed to estimate the unknown compounded disturbance, and it is established that the estimate error converges to a compact set if appropriate observer design parameters are chosen. Both state feedback and output feedback direct adaptive controls can guarantee semiglobal uniform boundedness of the closed-loop system signals as rigorously proved by Lyapunov analysis. Numerical simulation results are presented to illustrate the effectiveness of the proposed direct adaptive neural control techniques.read more
Citations
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Proceedings ArticleDOI
Disturbance observer based finite time control design for reusable launch vehicle in re-entry phase
Fang Wang,Changchun Hua,Qun Zong +2 more
TL;DR: In this paper, a finite time attitude tracking control scheme is designed for the reentry reusable launch vehicle (RLV) with external disturbances and model uncertainty based on the multiple time scale technique, and stability analysis is presented in the framework of Lyapunov analysis.
Proceedings ArticleDOI
Adaptive backstepping control of uncertain nonlinear systems with asymmetry input saturation
Li Zhou,Liping Yin +1 more
TL;DR: In this paper, the adaptive constrained backstepping control method is presented for nonlinear systems suffering from asymmetry actuator saturation and unknown exogenous disturbances, which does not require the high order differential of the reference and tedious repeat derivation of virtual control.
Proceedings ArticleDOI
Linear parameter-varying based tracking control of hypersonic flight vehicles with input saturation
TL;DR: Simulation results demonstrate that the proposed control method can guarantee both good tracking and disturbances rejection performance and is time-varying and nonlinear.
Book ChapterDOI
Modeling of UAV and Preliminaries
Shuyi Shao,Mou Chen,Peng Shi +2 more
TL;DR: In this paper, a mathematical model of the fixed-wing UAV with wind disturbance is derived, and the attitude nonlinear affine model of UAVs is introduced, and three kinds of input nonlinearities of control input are given in Sect. 2.2.
Proceedings ArticleDOI
Distributed Cooperative Multi-Spacecraft Configuration Control Using High Gain Observer
TL;DR: A distributed control algorithm with estimation of immeasurable variables is designed for cooperative configuration control problem for multi-spacecraft system with model uncertainties and external disturbances based on directed communication topology.
References
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Journal ArticleDOI
Adaptive neural control of uncertain MIMO nonlinear systems
Shuzhi Sam Ge,Cong Wang +1 more
TL;DR: Adapt neural control schemes are proposed for two classes of uncertain multi-input/multi-output (MIMO) nonlinear systems in block-triangular forms that avoid the controller singularity problem completely without using projection algorithms.
Journal ArticleDOI
Brief paper: Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form
Tao Zhang,Shuzhi Sam Ge +1 more
TL;DR: It is proved that the proposed design method is able to guarantee semi-global uniform ultimate boundedness of all signals in the closed-loop system, with arbitrary small tracking error by appropriately choosing design constants.