Robust Tracking Control for a Class of Nonlinear Systems with L∞_Bouned Disturbance

In the paper, a robust tracking controller is presented for a class of SISO affine nonlinear systems with unknown mismatched uncertainties and external disturbance in input channel.The designed controller has simple structure and concrete expression and include no Lyapunov function. So the proposed controller is easy to compute and complement.The practical stability of output tracking error and the states of the corresponding closed-loop system are demonstrated by Lyapunov stability theorem.Simulation results are presented throughout the paper to complement the theoretical developments.

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Global robust tracking control of non-affine nonlinear systems with application to yaw control of UAV helicopter

International Journal of Control Automation and Systems ◽

10.1007/s12555-012-0335-3 ◽

2013 ◽

Vol 11 (5) ◽

pp. 957-965 ◽

Cited By ~ 10

Author(s):

De-Zhi Xu ◽

Bin Jiang ◽

Peng Shi

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

Robust Tracking ◽

Robust Tracking Control ◽

Yaw Control ◽

Affine Nonlinear Systems

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Robust Tracking Control for a Class of Nonlinear Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.479-481.2161 ◽

2012 ◽

Vol 479-481 ◽

pp. 2161-2164

Author(s):

Yang Yu ◽

Wei Wang

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

Tracking Error ◽

Reference Signal ◽

Linear Matrix ◽

Robust Tracking ◽

Robust Tracking Control ◽

Controlled System ◽

Stabilization Control ◽

S Model

This paper deals with the problem of fizzy robust tracking control for a class of nonlinear systems. The nonlinear system is approximated by T-S model, considering the modeling error. The tracking error of the controlled system following the reference signal is studied, and the tracking error’s exponential stability. The coherence of tracking control and stabilization control of the fuzzy systems is proved by using Lyapunov function theory combining with linear matrix inequalities (LMIs).Simulation results demonstrate the effectiveness of the proposed approach and conditions.

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Robust Tracking Control of Nonlinear Systems with Prescribed Performance

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483233 ◽

2018 ◽

Author(s):

Yuexin Qin ◽

Gang Wang ◽

Tairen Sun

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

Robust Tracking ◽

Robust Tracking Control ◽

Prescribed Performance

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Robust Tracking Control of Nonlinear Systems with Pure Feedback Uncertainties

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)42016-7 ◽

1998 ◽

Vol 31 (18) ◽

pp. 345-350

Author(s):

Jijoon Byun ◽

Nam H. Jo ◽

Hyungbo Shim ◽

Jin H. Seo

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

Robust Tracking ◽

Robust Tracking Control

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Output tracking control of high-order nonlinear systems with dynamic uncertainties

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331219892110 ◽

2019 ◽

Vol 42 (8) ◽

pp. 1511-1520

Author(s):

Zong-Yao Sun ◽

Yu-Jie Gu ◽

Qinghua Meng ◽

Wei Sun ◽

Zhen-Guo Liu

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

Tracking Error ◽

High Order ◽

Approximation Technique ◽

Zero Dynamic ◽

Adding A Power Integrator ◽

Output Tracking ◽

Output Tracking Control ◽

Dynamic Uncertainties

This paper investigates the output tracking control problem for a class of nonlinear systems with zero dynamic. On the basis of adding a power integrator method and approximation technique, an appropriate controller is proposed to guarantee that the tracking error turns to a preassigned neighborhood of the origin. The systems under investigation allow unmeasurable dynamic uncertainties, unknown nonlinear functions and unknown high-order terms. As an application, two examples are provided to illustrate the effectiveness of a control strategy.

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Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-26555-1_2 ◽

2015 ◽

pp. 9-16 ◽

Cited By ~ 1

Author(s):

Xiong Yang ◽

Derong Liu ◽

Qinglai Wei

Keyword(s):

Dynamic Programming ◽

Nonlinear Systems ◽

Tracking Control ◽

Adaptive Dynamic Programming ◽

Uncertain Nonlinear Systems ◽

Robust Tracking ◽

Robust Tracking Control ◽

Adaptive Dynamic

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Adaptive output regulation for a class of nonlinear systems with guaranteed transient performance

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331219886411 ◽

2019 ◽

Vol 42 (6) ◽

pp. 1180-1190

Author(s):

Weijie Sun ◽

Zhenhua Zhu ◽

Jianglin Lan ◽

Yunjian Peng

Keyword(s):

Nonlinear Systems ◽

Tracking Error ◽

High Gain ◽

Output Regulation ◽

Control Law ◽

Stabilization Problem ◽

Transient Performance ◽

Adaptive Stabilization ◽

Output Tracking ◽

Output Constraints

This paper is dedicated to adaptive output regulation for a class of nonlinear systems with asymptotic output tracking and guarantee of prescribed transient performance. With the employment of internal model principle, we first transform this problem into a specific adaptive stabilization problem with output constraints. Then, by integrating the time-varying Barrier Lyapunov Function (BLF) technique together with the high gain feedback method, we develop an output-based control law to solve the constrained stabilization problem and consequently confine the output tracking error to a predefined arbitrary region. The output-based control law enables adaptive output regulation in the sense that, under unknown exosystem dynamics, all the closed-loop system signals are bounded whilst the controlled output constraints are not violated. Finally, efficacy of the proposed design is illustrated through a simulation example.

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