Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints

Edalati, Lida; Sedigh, Ali Khaki; Shooredeli, Mahdi Aliyari; Moarefianpour, Ali

doi:10.1016/j.ymssp.2017.07.036

Cited by 96 publications

(46 citation statements)

References 38 publications

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“…Recently, due to using UFAs, the dead-zone parameters are completely approximated, and hence, the requirements on the dead-zone parameters are relaxed. 20,27,28 For instance, in the work of Khajeh Talkhoncheh, 29 they developed an observer-based adaptive neural controller for a class of strict-feedback nonlinear systems subjected to unknown control directions, saturation, and input time delay, which is handled by using an integrator compensator term in the controller design. 20 The existence of time delay in the practical systems like dead-zone nonlinearity can bring a poor performance to the systems and even can make the system unstable.…”

Section: Introductionmentioning

confidence: 99%

“…20 The existence of time delay in the practical systems like dead-zone nonlinearity can bring a poor performance to the systems and even can make the system unstable. 27 Constructing appropriate Lyapunov-Krasovskii functions is another approach to cancel the unknown time-delay terms. 20,27,28 For instance, in the work of Khajeh Talkhoncheh, 29 they developed an observer-based adaptive neural controller for a class of strict-feedback nonlinear systems subjected to unknown control directions, saturation, and input time delay, which is handled by using an integrator compensator term in the controller design.…”

Section: Introductionmentioning

confidence: 99%

“…11,44 Unlike in the work of Edalati et al, 27 the Nussbaum technique aids us in this paper to address the problem of completely unknown control directions. Another usage of the mean-value theorem in this paper is transforming the nonaffine system into the affine one.…”

Section: Introductionmentioning

confidence: 99%

“…The stability analysis and control design of the time-delay systems have attracted much attention in the past years. 20,27,28 For instance, in the work of Khajeh Talkhoncheh, 29 they developed an observer-based adaptive neural controller for a class of strict-feedback nonlinear systems subjected to unknown control directions, saturation, and input time delay, which is handled by using an integrator compensator term in the controller design. Inspired by the aforementioned work, 29 barrier Lyapunov functions (BLFs) are added to the control scheme to constrain outputs.…”

Section: Introductionmentioning

confidence: 99%

“…Inspired by the aforementioned work, 29 barrier Lyapunov functions (BLFs) are added to the control scheme to constrain outputs. 27 Constructing appropriate Lyapunov-Krasovskii functions is another approach to cancel the unknown time-delay terms. 20,28 Recently, using time-varying delays in control design of discrete complex systems has received a great deal of attention.…”

Section: Introductionmentioning

confidence: 99%

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Prescribed performance adaptive fuzzy dynamic surface control of nonaffine time‐varying delayed systems with unknown control directions and dead‐zone input

Tooranjipour

Vatankhah

Arefi

2019

Adaptive Control & Signal

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In this paper, an adaptive prescribed performance control method is presented for a class of uncertain strict feedback nonaffine nonlinear systems with the coupling effect of time-varying delays, dead-zone input, and unknown control directions. Owing to the universal approximation property, fuzzy logic systems are used to approximate the uncertain terms in the system. Since there is no systematic approach to determine the required upper bounds of errors in control systems, the prior selection of control parameters to have a satisfactory performance is somehow impossible. Therefore, the prescribed performance technique as a solution is applied in this study to bring satisfactory performance indices to the system such as overshoot and steady state performance within a predetermined bound. Dynamic surface control strategy is also introduced to the proposed control scheme to address the "explosion of complexity" behavior existing in conventional backstepping methods. To ease the control design, the mean-value theorem is utilized to transform the nonaffine system into the affine one. Moreover, with the help of this theorem, the unknown dead-zone nonlinearity is separated into the linear and nonlinear disturbance-like bounded term. The proposed method relaxes a prior knowledge of control direction by employing Nussbaum-type functions, and the effect of time-varying delays are compensated by constructing the proper Lyapunov-Krasovskii functions. The proposed controller guarantees that all the closed-loop signals are semiglobally uniformly ultimately bounded and the error evolves within the decaying prescribed bounds. In the end, in order to demonstrate the superiority of this method, simulation examples are given. KEYWORDS adaptive fuzzy control, dead-zone nonlinearity, dynamic surface control, nonaffine systems, prescribed performance, time-varying delays 1134

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prescribed performance adaptive fuzzy dynamic surface control of nonaffine time‐varying delayed systems with unknown control directions and dead‐zone input

Tooranjipour

Vatankhah

Arefi

2019

Adaptive Control & Signal

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Fuzzy Logic and Its Applications in Mechatronic Control Systems

Sathya,

Saravanan,

Thangamani

2024

Computational Intelligent Techniques in Mechatronics

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Adaptive fixed‐time minimal learning force/position control of uncertain manipulators subject to input saturation

Fang

et al. 2023

Adaptive Control & Signal

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This article solves the fixed-time force/position control problem for constrained manipulators in the presence of input saturation and uncertain dynamics. Under the fixed-time stability theory, a novel fixed-time auxiliary dynamic system (ADS) is first presented to compensate for the effects of input saturation nonlinearity. System uncertainties are estimated by using radial basis function neural networks (RBF NNs) and only need to tune one neural parameter online. In addition, with a fixed-time sliding mode surface and the proposed fixed-time ADS, a novel fixed-time adaptive neural force/position controller is designed which can not only ensure the fixed-time stability of the position tracking error but also enable the manipulator to track the desired force trajectory. By using the Lyapunov method, the boundedness of all signals in the closed-loop system is proved. Finally, the effectiveness of the proposed method is demonstrated by comparative simulation works.

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Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints

Cited by 96 publications

References 38 publications

Prescribed performance adaptive fuzzy dynamic surface control of nonaffine time‐varying delayed systems with unknown control directions and dead‐zone input

Prescribed performance adaptive fuzzy dynamic surface control of nonaffine time‐varying delayed systems with unknown control directions and dead‐zone input

Fuzzy Logic and Its Applications in Mechatronic Control Systems

Adaptive fixed‐time minimal learning force/position control of uncertain manipulators subject to input saturation

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