Robust tracking observer-based adaptive fuzzy control design for uncertain nonlinear MIMO systems with time delayed states

Wu, Tzu-Sung; Karkoub, Mansour; Chen, Ho-Sheng; Yu, Wen-Shyong; Her, Ming-Guo

doi:10.1016/j.ins.2014.08.001

Cited by 43 publications

(17 citation statements)

References 39 publications

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“…From the literature of modern nonlinear control, it is known that the presence of dynamical uncertainties makes the feedback control problem extremely challenging in the context of nonlinear systems. As a result, the problem of designing adaptive and robust controller for nonlinear systems with uncertainties has attained considerable attention [5,10,13,16,24,[33][34][35]38,45,[51][52][53]57]. Among that, Mu et al [35] proposed a general design scheme of finite-time switching mode manifolds and corresponding nonsingular controllers.…”

Section: Introductionmentioning

confidence: 99%

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties

Wang

Liu

et al. 2016

Information Sciences

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Section: Introductionmentioning

confidence: 99%

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties

Wang

Liu

et al. 2016

Information Sciences

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“…This study was to investigate the influence of water to fuel ratio with additional material added in lowering exhaust emissions. The development of AFR control is very rapid through the application of fuzzy logic controller [16] [17][18] [19]. Fuzzy logic controller has the advantages, stability of the system is relatively well controlled, can settle the problems of a black box system and can be applied by the method of multi input multi output (MIMO).…”

Section: Introductionmentioning

confidence: 99%

Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine

Triwiyatno

Sinuraya

Setiawan

et al. 2015

2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)

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Development of internal combustion engine control system is currently oriented on exhaust emissions, performance and fuel efficiency. This is caused by fuel prices rising which led to a crisis on the transport sector; therefore it is crucial to develop a fuel-efficient vehicles technology. Gasoline engine fuel efficiency can be improved by several methods such as by controlling the air-to-fuel ratio (AFR). AFR technology currently still has many problems due to its difficulty setting characteristic since AFR control is usually as internally engine control. Fuel efficiency can be improved by influence of external engine system. Brake control system is an external engine system that used in this research. The purpose of this research is to design and implement the AFR and brake control system in a vehicle to improve fuel efficiency of gasoline engines along braking period. The basic idea is the controller has to reduce the consumption of fuel injection along braking period. The applied control system on vehicle works using smart controller, such as Fuzzy Logic Controller (FLC). When the vehicle brakes, fuel injection is controlled by the ECU brake control system. This control system works in parallel with the vehicle control system default. The results show, when the engine speed exceeds 2500 rpm, AFR value increased infinitely, so that maximum efficiency is achieved. At engine speed less than 2500 rpm, AFR value reaches a value of 22. The fuel measurement has been able to show a decrease in fuel consumption of 6 liters to 4 liters within the distance of 50.7 km. Improvement of fuel efficiency can be achieved by approximately of 33.3%.

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“…Different kinds of control strategies, such as adaptive control [1], robust control [2], sliding mode control [3], intelligent control [4], have been proposed to deal with the uncertainties, internal couplings and external disturbances which make the control problem more complicated. In [2], the observer-based robust adaptive fuzzy tracking control scheme for a kind of MIMO systems with time delayed states was designed. In [3], adaptive sliding mode control without requirements on priori knowledge for nonlinear MIMO systems with uncertainties was introduced.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], this approach was used to study uncertain MIMO nonlinear systems with timevarying delays and norm-bounded uncertainties. This paper is an extension of our pervious work, and has the features as follows: (1)The virtual control coefficients and nonlinear uncertainties are bounded by nonlinear functions related to the states of other subsystems; And they are not required to be continuous; (2) The designed robust controller is linear and time-invariant, and the problem of "explosion of complexity" is avoided; (3) Only local information is used in the design procedures; (4) A way to determine the values of controller parameters is shown according to desired robust property.…”

Section: Introductionmentioning

confidence: 99%

Semiglobal robust decentralized tracking control for a class of uncertain MIMO nonlinear systems

Guo

Yao

et al. 2015

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)

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The robust decentralized tracking control problem for a class of uncertain multi-input multi-output (MIMO) nonlinear systems in block-triangular form is investigated in this paper. A control design method combining backstepping technique and signal compensation method is proposed to deal with the nonlinear uncertainties, external disturbances and strongly coupled interconnections in this kind of systems. It is proved that, under this method, the semiglobal robust stability and semiglobal robust practical tracking property of the closedloop system are guaranteed, with the tracking error restrained as small as desired with expected convergence rate. The robust controller is linear and time-invariant, and the explosion of terms in the backstepping control law is avoided.

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Robust tracking observer-based adaptive fuzzy control design for uncertain nonlinear MIMO systems with time delayed states

Cited by 43 publications

References 39 publications

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties

Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties

Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine

Semiglobal robust decentralized tracking control for a class of uncertain MIMO nonlinear systems

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