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Study of adaptive Fuzzy Smith control for time-delay systems

Tai Trong Nguyen, Thanh Van Dao
2015 Science and Technology Development Journal  
Based on the online parameter estimation, Smith predictor can be updated online which can eliminate the time delay element.  ...  In this paper, an adaptive Fuzzy Smith control method is presented to control the varying time delay systems.  ...  The one is combination of Smith predictor and PID controller, the another is the fuzzy Smith controller proposed in this study.  ... 
doi:10.32508/stdj.v18i3.895 fatcat:eyneztbwgrce7ptx4ohcsn72dy

A filtered Smith predictor based subspace predictive controller

P.R.C. Mendes, J.E. Normey-Rico, V. João, D.M. Cruz
2014 IFAC Proceedings Volumes  
This paper presents a SPC based in the filtered Smith predictor structure in order to improve the performance of SPC when applied to a stable or integrative dead-time processes.  ...  This technique combines the robustness of subspace identification algorithms, the ability of predictive controllers to deal with multi variable processes and operational constraints and robustness of filtered  ...  ACKNOWLEDGEMENTS The authors thanks CNPq and Agência Nacional de Petróleo, Gás Natural e Biocombustíveis (ANP) for the financial support received from Programa de Recursos Humanos PRH-34 ANP/MCT.  ... 
doi:10.3182/20140824-6-za-1003.01339 fatcat:4mh3prk4tjbkrf6l3mlrpqu4a4

Comparison of PID methods for Networked Control Systems

Mercedes Chacon Vasquez, Reza Katebi
2016 2016 UKACC 11th International Conference on Control (CONTROL)  
This work presents significant developments in Networked Control Systems based on PID, Internal Model Control and Smith Predictor algorithms.  ...  time-varying delays and dropouts.  ...  Smith predictor controller design for NCS The most important characteristic of this controller is that the design and performance will depend on the information of the process model and the time delay.  ... 
doi:10.1109/control.2016.7737553 fatcat:atfntt2dbzac5psrogz3y4rzu4

The Fornix Sign: A Potential Sign for Alzheimer's Disease Based on Diffusion Tensor Imaging

Kenichi Oishi, Michelle M. Mielke, Marilyn Albert, Constantine G. Lyketsos, Susumu Mori
2011 Journal of Neuroimaging  
We investigated whether the fornix sign could differentiate AD from NC, and could predict progression from aMCI to AD or NC to aMCI. We also quantified FA of the fornix to validate the fornix sign.  ...  METHODS-Twenty-three patients with AD, 24 patients with amnestic mild cognitive impairment (aMCI), and 25 control participants (NC) underwent DTI at baseline and one year later.  ...  The images acquired from Alzheimer's patients, mild cognitive impairment patients, and age-matched controls were supported by a methods development grant from Glaxo-Smith-Kline, awarded to MA and CGL.  ... 
doi:10.1111/j.1552-6569.2011.00633.x pmid:21848679 pmcid:PMC3256282 fatcat:jm3shvakunbvvnr2qapxzcapsq

Adaptive Time Delay Compensation Process in Networked Control System

Yong-Gil Kim, Kyung-Il Moon
2016 International journal of advanced smart convergence  
There are methods like sliding mode control and Kalman filter based estimator are also some topics of interest in NCS [11] . In model based NCS, an explicit model of the  ...  Based on the communication channels used in the NCS architecture, it is divided into two classes.  ...  A PID controller with a Smith predictor can be used in real time networked control of servo system.  ... 
doi:10.7236/ijasc.2016.5.1.34 fatcat:tvqvcegr5nht7j4qxljxrdlnsm

Online Delay Estimation and Adaptive Compensation in Wireless Networked System: An Embedded Control Design

Santosh Mohan Rajkumar, Sayan Chakraborty, Rajeeb Dey, Dipankar Deb
2019 International Journal of Control, Automation and Systems  
estimation, viable approximation of time-delay, discretization scheme in developing the proposed adaptive Smith predictor.  ...  The embedded controller integrates PI controller with a proposed time-delay estimator and an adaptive digital Smith predictor for its real time operation, which is the novelty of the work.  ...  An improved predictor control strategy for data dropout and time-delay in NCS is proposed in [12] , and a model-based prediction con-trol methodology is proposed in [13] where the current and predicted  ... 
doi:10.1007/s12555-018-0612-x fatcat:ehyzbdwhqvbuhjhgvapnlizvkm

An Overview of Networked Control of Complex Dynamic Systems

Huaicheng Yan, Sheng Yan, Hao Zhang, Xudong Zhao
2014 Mathematical Problems in Engineering  
The common goal of discussion on these topics is to reveal the effect of the communication network on the operation of the networked systems.  ...  In this paper, we particularly discuss various typical networked induced issues; namely, time delays, packet losses, disorder, time-varying transmission intervals, competition of multiple nodes accessing  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China (61004028, 61272064, and 61273026), the Innovation Program of Shanghai Municipal Education Commission (12zz052  ... 
doi:10.1155/2014/794096 fatcat:h3xqn67fqnerracdjuzp427bvu

Development of Embedded Speed Control System for DC Servo Motor using Wireless Communication [article]

Santosh Mohan Rajkumar, Sayan Chakraborty, Dr. Rajeeb Dey
2019 arXiv   pre-print
The design & analysis of the system is based on the mathematical model of the DC motor obtained by system identification technique.  ...  We have implemented an adaptive digital smith predictor using the online time delay measurement and identification.  ...  Chien-Liang Lai and Pau-Lo Hsu (2010) discussed a method for on line measurement of round trip delay time in NCS and based on that round trip delay time an adaptive smith predictor scheme was proposed  ... 
arXiv:1912.00337v1 fatcat:cgwivxa6y5hn3c6xphooh5qble

CO4 A COMPARISON OF LOGISTIC REGRESSION AND COX PROPORTIONAL HAZARDS MODELS FOR IDENTIFICATION OF RISK FACTORS FOR RENAL IMPAIRMENT IN HORMONE REFRACTORY PROSTATE CANCER (HRPC) PATIENTS WITH BONE METASTASES (BM) TREATED WITH ZOLEDRONIC ACID (ZA)

WK Oh, K Proctor, M Nakabayashi, C Evan, LK Tormey, L Breierova, M Smith, M Neary, MS Duh
2005 Value in Health  
RESULTS: A total of 356 patients, mean age (SD) of 65.2 (8.4) years, with suspected BPH participated in the study.  ...  CONCLUSIONS: Concordance between initial diagnosis based on medical history, I-PSS questionnaire, DRE and PSA with final diagnosis of BPH was high.  ...  MC6 PERFORMANCE OF THE DMM SIMULATION MODEL IN PREDICTING REAL WORLD CHANGES IN GLYCEMIC CONTROL FOLLOWING DIAGNOSIS OF DIABETES James PW, MacAlpine R, Brennan G, Emslie-Smith A, Morris AD Ninewells Hospital  ... 
doi:10.1016/s1098-3015(10)67190-2 fatcat:zaz342sjg5cotc5m3m6pde6rwq

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

Mayank Kumar Gautam, Avadh Pati, Sunil Kumar Mishra, Bhargav Appasani, Ersan Kabalci, Nicu Bizon, Phatiphat Thounthong
2021 Sustainability  
Networked control systems (NCSs) are attracting the attention of control system engineers. The NCS has created a paradigm shift in control system technology.  ...  The thrust areas for future research on NCS have also been identified.  ...  Known delays could be handled at the time of control synthesis using the well-known Smith predictor. Digital controllers replaced the analog technology with the advancement of processors.  ... 
doi:10.3390/su13052962 fatcat:hm2iztsfknhupkvadnhplywosy

Model predictive position tracking control for motion system with random communication delay

Li Qiu, Xiaomei Yang, Usama Ahsan, Jianfei Pan, Bo Zhang, Rong Yang
2020 IET Control Theory & Applications  
This study focuses on position tracking control for the networked predictive motion control system with random communication delay.  ...  First, the output feedback controller is designed by networked predictive control law to actively compensate the time delay induced by the random channels of the motion control system.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (Grant nos. 61873170, U1813225, U1913214, and 61773266), in part by the Science and Technology Development Foundation  ... 
doi:10.1049/iet-cta.2020.0667 fatcat:zhypuwzbqbcdzf4vxos34ychxy

Brain Structural Correlates of Odor Identification in Mild Cognitive Impairment and Alzheimer's Disease Revealed by Magnetic Resonance Imaging and a Chinese Olfactory Identification Test

Xingqi Wu, Zhi Geng, Shanshan Zhou, Tongjian Bai, Ling Wei, Gong-Jun Ji, Wanqiu Zhu, Yongqiang Yu, Yanghua Tian, Kai Wang
2019 Frontiers in Neuroscience  
The present study investigated the utility of a newly developed Chinese smell identification test (CSIT) for OI assessment in Chinese AD and MCI patients.  ...  Thirty-seven AD, 27 MCI, and 30 normal controls (NCs) completed the CSIT and MRI scans.  ...  ACKNOWLEDGMENTS We thank the participants for their cooperation during this study and WZ for providing the CSIT Kit.  ... 
doi:10.3389/fnins.2019.00842 pmid:31474819 pmcid:PMC6702423 fatcat:5f656pvpsrhwdfxlap7n4g3pye

A Meta-Analytic Study of Event Rate Effects on Go/No-Go Performance in Attention-Deficit/Hyperactivity Disorder

Baris Metin, Herbert Roeyers, Jan R. Wiersema, Jaap van der Meere, Edmund Sonuga-Barke
2012 Biological Psychiatry  
In a second analysis, we used meta-regression to test for the moderating role of ER on ADHD vs. control differences seen across Go/No-Go studies.  ...  Results: There was a significant and disproportionate slowing of reaction time in ADHD relative to controls on trials with slow event rates in both meta-analyses.  ...  Sonuga-Barke EJS, Taylor E, Sembi S, Smith J (1992): Hyperactivity and delay aversion-I. The effect of delay on choice. J Child Psychol Psych 33: 387-398. 15.  ... 
doi:10.1016/j.biopsych.2012.08.023 pmid:23062355 fatcat:rxvrfkz3h5dtjlasebh7fbr7nq

Implicit Memory in Korsakoff's Syndrome: A Review of Procedural Learning and Priming Studies

Scott M. Hayes, Catherine B. Fortier, Andrea Levine, William P. Milberg, Regina McGlinchey
2012 Neuropsychology Review  
This review assesses the integrity of the implicit memory system in KS, focusing on studies of procedural learning and priming.  ...  The pattern of performance on tasks of implicit priming suggests reliance on a residual, non-flexible memory operating more or less in an automatic fashion.  ...  Cermak, whose scope of work reviewed in the current paper served as a reminder of his impressive contributions to memory research.  ... 
doi:10.1007/s11065-012-9204-3 pmid:22592661 pmcid:PMC3955262 fatcat:khl4ugietjcvtd3ff3ero4i3xe

ADAPTIVE CONTROL STRATEGY FOR GLUCOSE REGULATION USING RECURSIVE LINEAR MODELS

Meriyan Eren, Ali Cinar, Lauretta Quinn, Donald Smith
2007 IFAC Proceedings Volumes  
Using frequently sampled blood glucose measurements (at 5 min intervals), low-order recursive linear time series models have been developed for the prediction of future blood glucose concentrations.  ...  Such predicted glucose values are then integrated with model based control algorithms, such as GPC and LQC, for adjusting the required insulin infusion rates with an automated insulin pump.  ...  The proposed strategy for model identification is based on glucose time series analysis, and for the disturbance rejection (e.g. effect of meal or exercise) it is incorporated with a change detection method  ... 
doi:10.3182/20070604-3-mx-2914.00028 fatcat:4e7krlwcazgwpmxsu5ojsv56vq
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