Disturbance-observer-based robust control for time delay uncertain systems

Chen, Mou; Chen, Wenhua

doi:10.1007/s12555-010-0233-5

Cited by 104 publications

(64 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variables adaptive control techniques have been applied to many practical applications, for example, indirect-adaptive model-following control approach for flying vehicles [5], model reference adaptive control scheme for single-input LTI systems [6], robust control scheme for a class of systems with uncertainty and time delay [7], and adaptive sliding mode scheme for near space vehicles [8], where the established control strategies required some knowledge of nonlinear dynamics and met some specific conditions. However, in most of the practical nonlinear systems, it is difficult to obtain their accurate mathematical models.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Robust Control of Unknown MIMO Nonlinear System Subject to Input Saturations and Disturbances

Wang

Gong

Liu

2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper presented a new data-driven robust control scheme for unknown nonlinear systems in the presence of input saturation and external disturbances. According to the input and output data of the nonlinear system, a recurrent neural network (RNN) data-driven model is established to reconstruct the dynamics of the nonlinear system. An adaptive output-feedback controller is developed to approximate the unknown disturbances and a novel input saturation compensation method is used to attenuate the effect of the input saturation. Under the proposed adaptive control scheme, the uniformly ultimately bounded convergence of all the signals of the closed-loop nonlinear system is guaranteed via Lyapunov analysis. The simulation results are given to show the effectiveness of the proposed data-driven robust controller.

show abstract

Section: Introductionmentioning

confidence: 99%

Data-Driven Robust Control of Unknown MIMO Nonlinear System Subject to Input Saturations and Disturbances

Wang

Gong

Liu

2017

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Recently, many work has been devoted to design the observer or observer-based control of uncertain system [3], [8], [10], [11] and [12]. In [2] and [7] the lyapunov stability theory is used to design the state observer for linear time varying or nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

An observer-based control of linear systems with uncertain parameters

Rachik¹,

Lhous²

2016

Archives of Control Sciences

View full text Add to dashboard Cite

show abstract

“…Sliding mode control was developed for a class of uncertain nonlinear system using disturbance observer in [36]. In [37], robust DOBC was presented for time delay uncertain systems.…”

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Disturbance-observer-based robust control for time delay uncertain systems

Cited by 104 publications

References 30 publications

Data-Driven Robust Control of Unknown MIMO Nonlinear System Subject to Input Saturations and Disturbances

Data-Driven Robust Control of Unknown MIMO Nonlinear System Subject to Input Saturations and Disturbances

An observer-based control of linear systems with uncertain parameters

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

Contact Info

Product

Resources

About