Adaptive Output Feedback Regulation for a Class of Uncertain Feedforward Time-Delay Nonlinear Systems

Belfeki, Mohsen

doi:10.1007/s11424-020-7248-7

Cited by 10 publications

(2 citation statements)

References 26 publications

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“…If such delay will occur, it is recommended that a study on the minimization or removal of these types of delay be conducted due to the fact that these delays may become critical in other applications. [29] It is a given that the real world and the systematic applications for control systems have many non-linearities that limit effectiveness of feedback and feedforward control schemes that is why it is also recommended to study other control systems that can replace or compensate for the inefficiencies of these systems to achieve outputs in greater performance criterias. The effectiveness of these systems will ensure great output due to the prediction of the feedforward and the compensation of the feedback.…”

Section: Recommendationsmentioning

confidence: 99%

Feedforward and Feedback DC Motor Control Methods of Control Systems

2020

IJETER

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DC motors are the most popular transducers used in the industry. Their versatility allows them to be used and configured in many different varieties, therefore, it is important to know which method to use for controlling them as there are currently many designs for different DC motors and different applications. This paper focuses on comparing the feedforward and feedback motor control methods. The DC motor design that the paper will consider is a voltage-controlled armature driven DC motor. The group will use MATLAB to simulate the two methods and will implement them to the motor. In addition to that, setpoint command tracking will also be a parameter to be considered in determining the performance of the two methods. Furthermore, a comparison of their performance against each other will be done by introducing a load disturbance in the armature-controlled DC motor in order to determine their sensitivity to possible noise in the system.

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Section: Recommendationsmentioning

confidence: 99%

Feedforward and Feedback DC Motor Control Methods of Control Systems

2020

IJETER

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“…The state feedback guaranteed cost control problem for nonlinear NCS with polytopic uncertainties was discussed by Chang et al (2019). Generally, it has difficulty acquiring the complete state information during real process, so the output feedback approach (Belfeki, 2020;Cheng et al, 2020;Li et al 2020b) is more general than that of state feedback-based methodologies (Li et al, 2022;Liu et al, 2022;Yang et al, 2016). To our surprise, most recently, Zheng et al (2021) addressed the dynamic quantized guaranteed cost control problem for T-S fuzzy system, where the static output feedback method was explored.…”

Section: Introductionmentioning

confidence: 99%

Quantized guaranteed cost dynamic output feedback control for uncertain nonlinear networked systems with external disturbance

Huang,

Tang,

Xia

et al. 2024

Transactions of the Institute of Measurement and Control

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In this article, the guaranteed cost control problem for a class of nonlinear networked control systems (NCSs) with dynamic quantization, external bounded disturbance, and data dropout is investigated via the dynamic output feedback. The Takagi–Sugeno (T-S) fuzzy model is used to represent the discrete-time nonlinear system discussed in this paper. Under the dynamic quantization strategy, two quantizers with dynamic parameters are used to quantize the measured output and control input, and the data dropout process is described by introducing the Bernoulli stochastic variable. By using the quadratic boundedness technique, the quadratic stability of the quantized NCS with external disturbance is described. Furthermore, the sufficient condition for the global design approach are proposed, that is, not only the dynamic output feedback controller but parameters of the quantizers are designed synchronously with strict linear matrix inequalities. Eventually, a simulation of nonlinear mass-spring-damper mechanical system is carried out to verify the effectiveness of the provided algorithm.

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Identification for the Low-Contrast Image Signal with Regularized Variational Term and Dynamical Saturating Nonlinearity

Zhang

Pan

et al. 2023

J Syst Sci Complex

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Adaptive Output Feedback Regulation for a Class of Uncertain Feedforward Time-Delay Nonlinear Systems

Cited by 10 publications

References 26 publications

Feedforward and Feedback DC Motor Control Methods of Control Systems

Feedforward and Feedback DC Motor Control Methods of Control Systems

Quantized guaranteed cost dynamic output feedback control for uncertain nonlinear networked systems with external disturbance

Identification for the Low-Contrast Image Signal with Regularized Variational Term and Dynamical Saturating Nonlinearity

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