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Immune Optimization of PID Control Parameters for DC Motor
2014
IOSR Journal of Electrical and Electronics Engineering
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In order to select the optimal PID control parameters for the brushless DC(Direct Current) motor of the two wheeled self balancing electric vehicle, a bacterial foraging algorithm-based polyclonal selection ...
Finally, on the basis of the transform function model of the brushless DC motor, the proposed algorithm is used in the optimization of the PID control parameters, and the system response results show the ...
[4] put forward a new control strategy of improved variable arguments PID based on the optimization of the immune genetic algorithm. ...
doi:10.9790/1676-09456974
fatcat:kq2lchv7tzcsjmvlt5bdippmrm
Page 7258 of Mathematical Reviews Vol. , Issue 2004i
[page]
2004
Mathematical Reviews
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Pacheco, Tuning PID controllers through genetic algorithms (232-235); F. Bellas, J. A. Becerra and R. J. ...
Koivo, Rule base updating method for fuzzy gain scheduling of PID controller (180-186); Imre J. Rudas, Measure of fuzziness: theory and applications (187-192).
P A. C. Salgado, P. A. F. N. A. ...
A new clonal selection algorithm based on radius regularization of anomaly detectors
2012
The 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP 2012)
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Nowadays anomaly detection based on Artificial Immune system (AIS) is highly regarded among the research community and Clonal selection algorithm is one of the most interesting fields of it. ...
In this paper we propose a novel algorithm to achieve suitable accuracy independent of self-region radius using learning automata. ...
Research on AIS has led to the development of many different algorithms based on immune principles. ...
doi:10.1109/aisp.2012.6313798
fatcat:ncmx3bdw35hz7njgwd4pbyhps4
Discovering Stick-Slip-Resistant Servo Control Algorithm Using Genetic Programming
2022
Sensors
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Much research has been done on control algorithms suppressing the stick-slip, but no simple solution has been found. In this work, a new approach is proposed based on genetic programming. ...
The feedback for the control algorithm is based on the sensors of position, velocity and acceleration. Variants with full and reduced sensor sets are considered. ...
To improve the algorithms in this aspect, a more diversified reference trajectory may be used, having a variable velocity or components of different slope values. ...
doi:10.3390/s22010383
pmid:35009925
pmcid:PMC8749671
fatcat:ilpp4abc5vexpk7jw6nqqlghnm
SHADuDT: Secure hypervisor-based anomaly detection using danger theory
2013
Computers & security
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Generally intrusion detection based on AISs fall into two categories. ...
The first generation of AIS is inspired from adaptive immune reactions but the second one that is called danger theory focuses on both of these reactions to build a more biologicallyrealistic model of ...
This new nTC is a sphere that its center is located exactly on Ag and similar to other detectors, its variable radius is calculated using Eq. (3) where d ¼ Ag. ...
doi:10.1016/j.cose.2013.08.005
fatcat:qpyuc5n4nnfxbhbjxtfenic2ri
Fuzzy fractional order force control of 6PUS-UPU redundantly actuated parallel robot based on inner model position control structure
2017
Engineering applications of artificial intelligence
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Fuzzy fractional order force control of 6PUS-UPU redundantly actuated parallel robot based on inner model position control structure. ...
Based on the screw theory, we can get the constraints on spiral of the middle branch [37] as follows where θ 1 , θ 2 , d 3 and θ 4 are the joint variables of the middle branch. ...
The method of fractional operator based on the Fuzzy-PID control method improved the precision of the redundant branch of 6PUS-UPU parallel robot, and the IMC control method with two degrees of freedoms ...
doi:10.1016/j.engappai.2017.07.002
fatcat:p3qmchr2o5g4na5mqqrcaasllu
Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation
2020
IEEE Access
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Over the past decade, there has been an unprecedented international focus on improved quality and availability of medical care, which has reignited interest in clinical automation and drawn researchers ...
Following a brief high-level overview of the main concepts in automated therapy and some relevant tools from systems and control theory, we explore -separately -the developments, challenges, state-of-the-art ...
Runto-run methods utilize a measurement-based algorithm to improve the effectiveness of a controller between distinct iterations of a repeated process. ...
doi:10.1109/access.2020.2968440
fatcat:mfaueakdfjfonkjr3fxpmrks5a
Physiological Closed-Loop Control (PCLC) Systems: Review of a Modern Frontier in Automation
[article]
2019
arXiv
pre-print
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Over the past decade, there has been an unprecedented international focus on improved quality and availability of medical care, which has reignited interest in clinical automation and drawn researchers ...
Following a brief high-level overview of the main concepts in automated therapy and some relevant tools from systems and control theory, we explore -- separately -- the developments, challenges, state-of-the-art ...
Like the many implementations of PID variants, numerous MPC algorithms have been reported that attempt to leverage new or existing MPC techniques to improve the compatibility of these algorithms with the ...
arXiv:1910.03768v1
fatcat:bifxe57rsbg6bdaw25hh7aqxbe
Challenges and recent progress in the development of a closed-loop artificial pancreas
2012
Annual Reviews in Control
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Algorithms include on-off (for prevention of overnight hypoglycemia), proportional-integral-derivative (PID), model predictive control (MPC) and fuzzy logic based learning control. ...
Continuous glucose monitoring (CGM) technology has improved and the devices are more widely available. ...
This paper has benefited from many discussions with Bruce A. Buckingham, Darrell M. Wilson and Fraser Cameron during the course of our on-going collaboration. ...
doi:10.1016/j.arcontrol.2012.09.007
pmid:23175620
pmcid:PMC3501007
fatcat:ztkfmsqtvrclrcfe2gg4tajf3q
Hardening the Security of Multi-Access Edge Computing through Bio-Inspired VM Introspection
2021
Big Data and Cognitive Computing
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malicious activities based on their anomalous behavior. ...
We have established wide testbed environment connecting networks of two universities Kyushu Institute of Technology and The City College of New York through secure GRE tunnel. ...
[20] proposed a Denial-of-Service attack detection based on Artificial Immune System. ...
doi:10.3390/bdcc5040052
fatcat:lugaxvqiyfcbbnmnpvx7ygpnsy
The Potential Role for Host Genetic Profiling in Screening for Chlamydia-Associated Tubal Factor Infertility (TFI)—New Perspectives
2019
Genes
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Within the framework of existing clinical approaches, we propose a scenario for the translation of relevant genome-based information into triage of infertile women, with the objective of implementing genetic ...
These findings are creating new avenues for updating existing risk prediction models for C. trachomatis-associated tubal factor infertility (TFI). ...
argument to be made in favor of including genome-based patient data in clinical assessments of related sequelae. ...
doi:10.3390/genes10060410
pmid:31142036
pmcid:PMC6627277
fatcat:qeyutneevnhqbnbhff5olevi6y
Stem Cell Transplantation for Primary Immunodeficiency
[chapter]
2012
Immunodeficiency
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[8] Together with improved survival advances have led, and continue to focus on, improved quality of life longterm.
Who, when, what to transplant SCID is one of the most severe forms of PID. ...
New data is emerging on the natural history of patients with diseases such as CGD and CD40L deficiency and the outcome from HSCT has improved dramatically and so the risks of performing HSCT at a young ...
doi:10.5772/52796
fatcat:53mzncuq5bf6llqmttosvegyoy
Studying the Transfer of Biases from Programmers to Programs
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2005.08231v1 fatcat:kxda7mmfhzeqfev4sceqe3octe
It is generally agreed that one origin of machine bias is resulting from characteristics within the dataset on which the algorithms are trained, i.e., the data does not warrant a generalized inference. ...
systems are operating such as the popular AI-based automated decision support systems. ...
(pID M:11270119183, third cohort). • 'Alphabet": "...going in reverse alphabetical order." (pID M:11272389655, third cohort); or "The letters are to be placed based on the alphabet song." ...
arXiv:2005.08231v2
fatcat:febtzgj7abhufnjaj2gtmtyplm
On the Use of Fuzzy Logic to Control Paralleled DC-DC Converters
[chapter]
2002
Studies in Fuzziness and Soft Computing
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Current sharing control is formulated as a tracking problem and stability is ensured through adaptation or supervisory control on a Lyapunov trajectory. ...
A stable fuzzy logic controller for the master-slave current sharing loop of a paralleled DC-DC system is presented that exhibits a considerably improved large signal performance over the presently employed ...
Noise Effects: One of the concerns with fuzzy control, as a high bandwidth equivalent controller, is noise immunity. ...
doi:10.1007/978-3-7908-1783-6_4
fatcat:gnlutlh5obhlblkkxxgcnri6rm
Detecting Anomalous Process Behaviour Using Second Generation Artificial Immune Systems
2010
Social Science Research Network
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This may be because AIS algorithms have previously been based on the adaptive immune system and biologically-naive models. ...
Its performance on a realistic process anomaly detection problem is shown to be better than standardAIS methods (negative-selection), policy-based anomaly detection methods (systrace), and an alternative ...
While the DCA concentrates on developing a system based entirely on DCs, tlr focuses on combining a DC-based algorithm with current adaptive AIS algorithms. ...
doi:10.2139/ssrn.2823358
fatcat:5m2z2pnrzrfcbker6nyscutsyy
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