Data-Driven Cooperative Intelligent Controller Based on the Endocrine Regulation Mechanism

Liang, Xiao; Ding, Yongsheng; Ren, Lihong; Ye, Jin

doi:10.1109/tcst.2013.2245417

Cited by 25 publications

(9 citation statements)

References 24 publications

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“…Eqs. (6) and (17) to identify the corresponding amplitude factor K, time constant T, and time-delay τ. The sampled response data and the identified model parameters are shown in Table 3, where T r is the temperature of reactor.…”

Section: Resultsmentioning

confidence: 99%

“…For long time the bio-system and human information system have inspired us with many ideas to solve some difficult engineering problems [1][2][3]. In order to obtain high product quality and control precision, some nonlinear control techniques, such as neural networks control [4][5][6][7], fuzzy control [8][9][10][11], expert control [12][13][14][15] and other advanced control algorithms [16,17], have been developed. It can also be found that more and more advanced or intelligent control algorithms inspired from the bio-information systems [18] will be developed in the future.…”

Section: Introductionmentioning

confidence: 99%

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A bio-system inspired nonline ar intelligent controller with application to bio-reactor system

et al. 2015

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A bio-system inspired nonline ar intelligent controller with application to bio-reactor system

et al. 2015

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“…When the concentration of one hormone is upper or lower than the normal level, the regulation laws of hormone are trigged to restrain or stimulate the secretion of this hormone. As a result, the multiple hormones are maintaining homeostasis to keep the human body in health (Farhy 2004;Liang et al 2014;Ding et al 2015). The special characteristic of maintaining homeostasis about regulation laws of hormone inspires us to improve the clone selection algorithm used in the learning unit.…”

Section: The Regulation Laws Of Hormone In Endocrine Systemmentioning

confidence: 99%

An improved immune system-inspired routing recovery scheme for energy harvesting wireless sensor networks

et al. 2016

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To address problems of fault-tolerant routing recovery and routings' quality maintenance in energy harvesting wireless sensor networks (EH-WSNs), we proposed an improved immune system-inspired routing recovery algorithm (ISRRA) to provide an intelligent scheme for EHWSNs. The ISRRA could maintain k best disjoint path from each source node to the sink. It investigates the optimal alternative strategies for the faulty routing and recovers the problems with four units (the surveillance unit, the response unit, the learn unit and the memory unit) as imitating the immune system, especially for the same fault routing happened again. Moreover, during the routing recovery process, ISRRA also check other candidate routings to decide whether to update the backup routings, which is used to maintain routings' quality and also greatly improve the fault-tolerant ability of EH-WSNs. In order to overcome the limited diversity of antibody population and prematurity of clone selection algorithm used in the learn unit, an improved clone and mutation scheme inspired by the regulation laws of hormone in endocrine system is proposed in ISRRA. Finally, to verify the effectiveness of the proposed ISRRA, a series of simulation experiments are conducted and compared with two other routing recovCommunicated by ery schemes. The simulation results have verified that the ISRRA-based protocol can provide reliable communication with effective routing recovery scheme and highlight the better performance of the proposed approach than that of similar techniques.

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“…When the vehicle system runs on an uneven road, it is inevitable to suffer from uncertainties such as sprung mass and tire stiffness, so the suspension controller should be adaptive to these complex and uncertain environment. In recent years, the endocrine control has been widely studied in various fields because of its excellent adaptive performance and selflearning ability [20][21][22]. In [23], an endocrine single-neuron PID compound sliding control system was designed; the output gain of whole order neuron PID was controlled by using a fuzzy controller.…”

Section: Introductionmentioning

confidence: 99%

Endocrine Composite Skyhook-Groundhook Control of Electromagnetic Linear Hybrid Active Suspension

Kou

Jing

Chen

et al. 2020

Shock and Vibration

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In order to effectively improve vehicle riding comfort, handling stability, and realize vibration energy recovery, a new kind of electromagnetic linear hybrid active suspension (EMLHAS) integrated with linear motor and solenoid valve shock absorber is put forward. Firstly, for the analysis of the suspension performance, a quarter dynamic model of EMLHAS is established. At the same time, the mathematical models of a linear motor, including the active state and energy-regenerative state, are found. The correctness of mathematical models for the linear motor in the active and energy-regenerative states is verified by means of characteristic tests. Moreover, the velocity characteristic tests of solenoid valve shock absorber are carried out to determine its mathematical polynomial model in the semiactive state. Then, a new kind of multimode endocrine composite skyhook-groundhook control strategy is proposed. The suspension motion is divided into four modes according to the driving conditions of the vehicle. An endocrine control with long feedback and short feedback is combined with the skyhook-groundhook control. The control laws of the skyhook-groundhook controller and endocrine controller are, respectively, designed. Finally, the simulation analysis of suspension dynamic performance and energy-regenerative characteristic is done. The results show the control effect of endocrine composite skyhook-groundhook control is better than that of skyhook-groundhook control, which improves vehicle riding comfort and handling stability. Moreover, part of vibration energy is recovered.

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Data-Driven Cooperative Intelligent Controller Based on the Endocrine Regulation Mechanism

Cited by 25 publications

References 24 publications

A bio-system inspired nonline ar intelligent controller with application to bio-reactor system

A bio-system inspired nonline ar intelligent controller with application to bio-reactor system

An improved immune system-inspired routing recovery scheme for energy harvesting wireless sensor networks

Endocrine Composite Skyhook-Groundhook Control of Electromagnetic Linear Hybrid Active Suspension

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