Robust and adaptive variable structure output feedback control of uncertain systems with input nonlinearity

Hu, Qinglei; Ma, Guangfu; Xie, Lihua

doi:10.1016/j.automatica.2007.06.024

Cited by 167 publications

(102 citation statements)

References 14 publications

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“…In a feedback system, the control input is computed using the error between the measured output and a reference output [38] while in a feedforward system the regulation is based on knowledge of the process or measurements of the process disturbances [39,40].…”

Section: Classification Of Adaptive Control Methodsmentioning

confidence: 99%

A Review on Adaptive Methods for Structural Control

Venanzi¹

2016

TOCIEJ

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Adaptive control algorithms are widely used in many technical fields like aeronautics and robotics for controlling systems whose characteristics vary with time or are uncertain. In the last decades, with the diffusion of active and semiactive control applications in civil engineering, adaptive methods started to be adopted for structural control. This paper provides an up-to-date survey on strategies currently available for adaptive control and a literature overview of solutions examined until today for structural applications.

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Section: Classification Of Adaptive Control Methodsmentioning

confidence: 99%

A Review on Adaptive Methods for Structural Control

Venanzi¹

2016

TOCIEJ

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“…In practice, the output of the system is always a measurable quantity. Therefore, sensor output ARTICLE IN PRESS feedback based sliding mode control strategy is attractive and practical due to its easy implementation compared with fullstate feedback based algorithms [23,27,29].…”

Section: Acceleration Signal Based Sliding Mode Controlmentioning

confidence: 99%

“…The technique is based on the sliding mode control algorithm designed by using direct output feedback [23,27]. The control law developed in this way is based on output feedback, so it does not require an estimator and is easy to implement [28,29]. Cao and Xu [30] applied a learning variable structure controller to suppress the vibration of a flexible one-link manipulator.…”

Section: Introductionmentioning

confidence: 99%

Active vibration control of a flexible beam using a non-collocated acceleration sensor and piezoelectric patch actuator

Qiu

Han

Zhang

et al. 2009

Journal of Sound and Vibration

122

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“…Globally stable adaptive control was presented for minimum phase single-input and single-output (SISO) plants with input saturation [42]. Nonlinear control was proposed to obtain the attitude maneuver of a three-axis stabilized flexible spacecraft considering input nonlinearity [43]. It is apparent that the input saturation constraint will enhance the complexity of control system design for the uncertain MIMO nonlinear system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy tracking control for a class of uncertain MIMO nonlinear systems using disturbance observer

Chen

2012

Sci. China Inf. Sci.

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Citation: CHEN, M., CHEN, W-H. and WU, Q-X., 2014. Adaptive fuzzy tracking control for a class of uncertain MIMO nonlinear systems using disturbance observer. Science China Information Sciences, 57 (1), pp 1-13.Additional Information:• Loughborough, Leicestershire LE11 3TU, UK Abstract: In this paper, adaptive fuzzy tracking control is proposed for a class of multi-input and multi-output (MIMO) nonlinear systems in the presence of system uncertainties, unknown nonsymmetric input saturation and unknown external disturbances. For the MIMO nonlinear system, the time-varying external disturbance cannot be directly measured which is estimated via disturbance observer. By choosing the appropriate gain matrix, disturbance observer can approximate the unknown disturbance well and the estimate error converges to a compact set. And then, fuzzy logic systems (FLS) are used to approximate the system uncertainty of MIMO nonlinear systems.Based on outputs of disturbance observer and FLS, adaptive tracking control is presented for the uncertain MIMO nonlinear system. Considering the unknown non-symmetric input saturation and control singularity case, adaptive fuzzy tracking control is developed via disturbance observer and FLS approximation technique. The effects of unknown input saturation and control singularity are treated as a part of system compound disturbance which is estimated using disturbance observer.Under the proposed tracking control techniques, semi-global uniform boundedness of the closed-loop signals is guaranteed via Lyapunov analysis. Numerical simulation results are presented to illustrate the effectiveness of the proposed tracking control schemes.

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Robust and adaptive variable structure output feedback control of uncertain systems with input nonlinearity

Cited by 167 publications

References 14 publications

A Review on Adaptive Methods for Structural Control

A Review on Adaptive Methods for Structural Control

Active vibration control of a flexible beam using a non-collocated acceleration sensor and piezoelectric patch actuator

Adaptive fuzzy tracking control for a class of uncertain MIMO nonlinear systems using disturbance observer

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