A Model-Free Approach to Networked Control System with Time-Varying Communication Delay

Yaseen, Amer Atta; Bayart, Mireille

doi:10.1016/j.ifacol.2018.09.631

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…Let us remind [29] the reader about the severe difficulties that are due to delays in the model-free setting. Compare with other techniques in the literature: [7], [43], [24], [25], [38], [40], [35], [72], [80], [81], [82].…”

Section: Discussionmentioning

confidence: 99%

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Hamiche

Fliess

Join³

et al. 2019

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

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Supply chain management and inventory control provide most exciting examples of control systems with delays.Here, Smith predictors, model-free control and new time series forecasting techniques are mixed in order to derive an efficient control synthesis. Perishable inventories are also taken into account. The most intriguing "bullwhip effect" is explained and attenuated, at least in some important situations. Numerous convincing computer simulations are presented and discussed.

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Section: Discussionmentioning

confidence: 99%

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Hamiche

Fliess

Join³

et al. 2019

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

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“…In other hand, the proposed MFC based on ultra-local modeling shown its disability to deal with time varying communication delay in other researches. 40 For this reason, Yaseen and Bayart 40 chose to merge a Smith predictor in the…”

Section: Robustness Analysismentioning

confidence: 99%

Improving the ride comfort of full car model with a decoupling intelligent model free controller

Haddar

Bouslema

Başlamışlı

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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A new technique of active control is presented for enhancing the dynamic responses of full car systems with bias to ride comfort performance. A seven degrees of freedom full car model is used, and its performance is evaluated on a bump road and random road. The proposed scheme is a combination between traditional controller design methods with an algebraic estimator of perturbations that will be eliminated online. From the inputs and the outputs signals, the unmodeled phenomenon can be estimated and be subtracted for ensuring the proper functioning of the system. The precise mathematical model of the system is not required for the implementation of the control scheme and is replaced by ultra-local models. Furthermore, the effectiveness of the algebraic estimator of road profile is introduced for applying the excitation sources of the reference generator. The road profiles in front of the vehicle are estimated separately from the rear road profiles. The ride comfort is improved progressively with the novel controller configuration by 83% from the passive case. Further, pitching and rolling fluctuations are reduced by 80% and 85% respectively. The numerical simulations illustrate the effectiveness and the robustness against vehicle body mass deviation and nonlinear actuator saturation of the proposed control method compared to passive and Active Disturbance Rejection Controller based on Input Decoupling Transformation.

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“…In the NCS, the incorporation of a network in the feedback control loop has brought new challenges that were not encountered in traditional control systems. Important issues for NCSs include communication delays, control quality, stability, and safety (Sakthivel et al, 2015;Li Z. et al, 2016;Hu et al, 2017;Yaseen and Bayart, 2018). To diminish the deleterious network-induced side effects of an NCS, two lines of study have concentrated on the "control of network" and "control over network" principles (Gupta and Chow, 2010).…”

Section: Networked Control Systemmentioning

confidence: 99%

Development of Novel Bioreactor Control Systems Based on Smart Sensors and Actuators

Wang

Chen

et al. 2020

Front. Bioeng. Biotechnol.

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Bioreactors of various forms have been widely used in environmental protection, healthcare, industrial biotechnology, and space exploration. Robust demand in the field stimulated the development of novel designs of bioreactor geometries and process control strategies and the evolution of the physical structure of the control system. After the introduction of digital computers to bioreactor process control, a hierarchical structure control system (HSCS) for bioreactors has become the dominant physical structure, having high efficiency and robustness. However, inherent drawbacks of the HSCS for bioreactors have produced a need for a more consolidated solution of the control system. With the fast progress in sensors, machinery, and information technology, the development of a flat organizational control system (FOCS) for bioreactors based on parallel distributed smart sensors and actuators may provide a more concise solution for process control in bioreactors. Here, we review the evolution of the physical structure of bioreactor control systems and discuss the properties of the novel FOCS for bioreactors and related smart sensors and actuators and their application circumstances, with the hope of further improving the efficiency, robustness, and economics of bioprocess control.

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A Model-Free Approach to Networked Control System with Time-Varying Communication Delay

Cited by 10 publications

References 15 publications

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Improving the ride comfort of full car model with a decoupling intelligent model free controller

Development of Novel Bioreactor Control Systems Based on Smart Sensors and Actuators

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