Fuzzy logic control of linear systems with variable time delay

Dawson, J.G.

doi:10.1109/isic.1994.367850

Cited by 15 publications

(5 citation statements)

References 25 publications

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“…A related work is by Chen and Fong [44], who consider time-varying state delays. Dawson et al [45] propose a fuzzy logic controller which handles unknown or variable time delays for a linear tank temperature system.…”

Section: Control Of Time-varying Delaysmentioning

confidence: 99%

Unknown and Time-Varying Time Delays in the Modelling and Control of Hydraulic Actuators: Literature Review

Albrecht

Taylor

2020

2020 Australian and New Zealand Control Conference (ANZCC)

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Uncertain time-delays can reduce the performance of hydraulic manipulator control systems. Variations in the time delay between, for example, an applied voltage and the associated manipulator movement, may be caused by the internal dynamics of the system and other nonlinear characteristics, such as fluid compressibility, dead-band of the pump, valve flow properties and friction characteristics. Robot control that addresses system time-delays, nonlinearities and uncertainty is the subject of much research but, whilst the specific concept of varying time delays in hydraulic systems is sometimes acknowledged, it appears to be less widely investigated than other types of uncertainty. The present article discuses some of the issues involved, exemplified by a dual manipulator device used in the laboratory for research into nuclear decommissioning, and presents a review of the relevant control literature in this area.Index Terms-hydraulic manipulators, uncertain time delays, time varying delays, robot control systems, literature review

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Section: Control Of Time-varying Delaysmentioning

confidence: 99%

Unknown and Time-Varying Time Delays in the Modelling and Control of Hydraulic Actuators: Literature Review

Albrecht

Taylor

2020

2020 Australian and New Zealand Control Conference (ANZCC)

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“…where u(t + ) is piecewise continuous and only changes value at kh + τ k . Sampling the system with period h, we obtain the following discrete form [10].…”

Section: Modeling Of Ncs Considering Network-induced Delaymentioning

confidence: 99%

Time Delay Compensation Using Adaptive Linear Neural Networks for Networked Control Systems

Abdalla

Assal

Elbasheir³

2007

International Conference on Aerospace Sciences and Aviation Tec

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In real time systems, particularly control systems, delays or dropped packets may cause performance degradation and system destabilization. In order to consider the uncertainty of communication delays and packet losses, intelligent computational approaches such as fuzzy logic, neural networks, and genetic algorithm can be used. In this paper, The effect of time delay is compensated via building undelayed plant model based on delayed model data using the Adaptive Linear Neuron networks (ADALINE). In ADALINE the linear networks are adjusted at each time step based on new input and target vectors which can find weights and biases that minimize the network's sum-squared error for recent input and target vectors. The proposed works are applied on distributed control of a DC servo system. The network is built using the true time MATLAB toolbox. Several simulation examples are applied using CAN network to clarify the efficiency of the proposed methods.

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“…Srikanth and Kumar [2,5] have developed dynamic models with integration of the time delay parameter for double and rotary inverted pendulum models which is the plant that is considered here. Daswon [6] have proposed a method to deal with variable time delays. Sun et al [7] have presented a state dependent stabilization criterion and Benitez-Perez and Garcia-Nocetti [8] have indicated a method for deterministic time delay in control configuration.…”

Section: Introductionmentioning

confidence: 99%

Novel Fuzzy Preview Controller for Rotary Inverted Pendulum under Time Delays

Srikanth¹,

Kumar

2017

IJFIS

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A novel fuzzy preview controller based on look up tables is proposed for control design of a rotary inverted pendulum represented with integrated time delay in system matrices. The proposed control achieved control of all system states with predefined standard requirements. The advantage of preview control helps in conservation of energy as the control input acts upon after a lookup making the system robust even under the impact of custom designed system time delays that were incorporated into the system. The proposed method shows the influence of time delay can be countered effectively by integrating the delay into the system matrix and then using the novel fuzzy granular preview control.

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Fuzzy logic control of linear systems with variable time delay

Cited by 15 publications

References 25 publications

Unknown and Time-Varying Time Delays in the Modelling and Control of Hydraulic Actuators: Literature Review

Unknown and Time-Varying Time Delays in the Modelling and Control of Hydraulic Actuators: Literature Review

Time Delay Compensation Using Adaptive Linear Neural Networks for Networked Control Systems

Novel Fuzzy Preview Controller for Rotary Inverted Pendulum under Time Delays

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