26.1.1 Control Systems, Feedback Control, Systems Analysis

Chapter Contents (Back)
Control Systems.

Lee, C.M., Yang, S.S., Ho, C.L.,
Modified back-propagation algorithm applied to decision-feedback equalisation,
VISP(153), No. 6, December 2006, pp. 805-809.
DOI Link 0702
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Moir, T.J.,
Loop-shaping techniques applied to the least-mean-squares algorithm,
SIViP(5), No. 2, June 2011, pp. 231-243.
WWW Link. 1101
LMS analysed as a feedback control system BibRef

Shim, B., Abrishamkar, F., Kang, I.,
Decision-Feedback Closest Lattice Point Search for UMTS HSPA System,
SPLetters(16), No. 12, December 2009, pp. 1035-1038.
IEEE DOI 0909
BibRef

Ren, C.F.[Cheng-Fang], Galy, J., Chaumette, E., Vincent, F., Larzabal, P., Renaux, A.,
Recursive Hybrid Cramer-Rao Bound for Discrete-Time Markovian Dynamic Systems,
SPLetters(22), No. 10, October 2015, pp. 1543-1547.
IEEE DOI 1506
Markov processes BibRef

Ren, C.F.[Cheng-Fang], Galy, J., Chaumette, E., Larzabal, P., Renaux, A.,
Hybrid Barankin-Weiss-Weinstein Bounds,
SPLetters(22), No. 11, November 2015, pp. 2064-2068.
IEEE DOI 1509
mean square error methods BibRef

Wang, E.X., Zou, J., Xue, G., Liu, Y., Li, Y., Fan, Q.,
Development of Efficient Nonlinear Benchmark Bicycle Dynamics for Control Applications,
ITS(16), No. 4, August 2015, pp. 2236-2246.
IEEE DOI 1508
Analytical models BibRef

Xu, T., Wang, H., Yuan, T., Zhou, M.,
BDD-Based Synthesis of Fail-Safe Supervisory Controllers for Safety-Critical Discrete Event Systems,
ITS(17), No. 9, September 2016, pp. 2385-2394.
IEEE DOI 1609
Boolean functions BibRef

He, W.[Wei], Ge, W.L.[Wei-Liang], Li, Y.C.[Yun-Chuan], Liu, Y.J.[Yan-Jun], Yang, C.G.[Chen-Guang], Sun, C.Y.[Chang-Yin],
Model Identification and Control Design for a Humanoid Robot,
SMCS(47), No. 1, January 2017, pp. 45-57.
IEEE DOI 1612
Adaptation models BibRef

Alsofyani, I.M., Rahmat, M.F., Anbaran, S.A., Alamri, Y.A.,
A simple approach for designing a PID controller for an experimental air blower system,
IJCVR(7), No. 1/2, 2017, pp. 182-195.
DOI Link 1701
BibRef

Obaid, M.A.M.[Mahmood Ali Moqbel], Husain, A.R.[Abdul Rashid],
Time varying backstepping control for trajectory tracking of mobile robot,
IJCVR(7), No. 1/2, 2017, pp. 172-181.
DOI Link 1701
BibRef

Vishal, D., Manivannan, P.V.,
Design and analysis of active vibration and stability control of a bio-inspired quadruped robot,
IJCVR(7), No. 6, 2017, pp. 712-722.
DOI Link 1711
BibRef

Mohammadi, F.[Fatemeh], Sáenz-de-Cabezón, E.[Eduardo], Wynn, H.P.[Henry P.],
Efficient multicut enumeration of k-out-of-n:F and consecutive k-out-of-n:F systems,
PRL(102), 2018, pp. 82-88.
Elsevier DOI 1802
Multiple failures, Multi cuts, Algebraic reliability, Monomial ideals, Hilbert series BibRef

Li, J.[Ji], Li, Z.Y.[Zi-Yang], Zhou, Q.[Quan], Zhang, Y.F.[Yun-Fan], Xu, H.M.[Hong-Ming],
Improved scheme of membership function optimisation for fuzzy air-fuel ratio control of GDI engines,
IET-ITS(13), No. 1, January 2019, pp. 209-217.
DOI Link 1901
BibRef

Grosinger, J.[Jasmin], Pecora, F.[Federico], Saffiotti, A.[Alessandro],
Robots that maintain equilibrium: Proactivity by reasoning about user intentions and preferences,
PRL(118), 2019, pp. 85-93.
Elsevier DOI 1902
Robot proactivity, Equilibrium maintenance, Goal reasoning, Fuzzy models BibRef

Yang, Y.K.[Yi-Kun], Jiao, S.J.[Sheng-Jie], Wang, W.F.[Wen-Fa],
Cooperative media control parameter optimization of the integrated mixing and paving machine based on the fuzzy cuckoo search algorithm,
JVCIR(63), 2019, pp. 102591.
Elsevier DOI 1909
Integrated mixing and paving machine, Cooperative control, Cuckoo search, Fuzzy logic BibRef

Vinogradska, J.[Julia], Bischoff, B.[Bastian], Achterhold, J.[Jan], Koller, T.[Torsten], Peters, J.[Jan],
Numerical Quadrature for Probabilistic Policy Search,
PAMI(42), No. 1, January 2020, pp. 164-175.
IEEE DOI 1912
Gaussian processes, System dynamics, Data models, Numerical models, Computational modeling, Predictive models, Uncertainty, reinforcement learning BibRef

Wang, Z.[Zhen], Wang, R.X.[Rong-Xi], Gao, J.M.[Jian-Min], Gao, Z.Y.[Zhi-Yong], Liang, Y.J.[Yan-Jie],
Fault recognition using an ensemble classifier based on Dempster-Shafer Theory,
PR(99), 2020, pp. 107079.
Elsevier DOI 1912
Fault recognition, Ensemble classifier, Dempster-Shafer Theory, Correlation entropy, Evidence weight BibRef

Zhai, D., Xi, C., Dong, J., Zhang, Q.,
Adaptive Fuzzy Fault-Tolerant Tracking Control of Uncertain Nonlinear Time-Varying Delay Systems,
SMCS(50), No. 5, May 2020, pp. 1840-1849.
IEEE DOI 2005
Delays, Time-varying systems, Nonlinear systems, Delay systems, Adaptive control, Fuzzy logic, Nussbaum-type function BibRef

Zheng, H., Yang, D., Xie, X., Zhang, Z.,
An Adaptive Algorithm for Active Vibration Control of Parameter-Varying Systems With a New Online Secondary Path Estimation Method,
SPLetters(27), 2020, pp. 705-709.
IEEE DOI 2005
Finite impulse response filters, Signal processing algorithms, Filtering algorithms, Convergence, Estimation, Adaptation models, new online secondary path estimation method BibRef

Kim, S.K., Kim, K.C., Ahn, C.K.,
Nonlinear Signal-Filtering Technique With Real-Time Gain Booster for Feedback System Applications,
SPLetters(27), 2020, pp. 2183-2187.
IEEE DOI 2012
Stability analysis, Synchronous motors, Phase distortion, Performance analysis, Inverters, stability analysis BibRef

Chen, Y.J.[Ying-Jen], Tanaka, K.[Kazuo], Tanaka, M.[Motoyasu], Tsai, S.H.[Shun-Hung], Wang, H.O.[Hua O.],
A Novel Path-Following-Method-Based Polynomial Fuzzy Control Design,
Cyber(51), No. 6, June 2021, pp. 2993-3003.
IEEE DOI 2106
Fuzzy control, Lyapunov methods, Stability analysis, Mathematical model, Cybernetics, Systematics, region of attraction (ROA) BibRef

Korala, H.[Harindu], Georgakopoulos, D.[Dimitrios], Jayaraman, P.P.[Prem Prakash], Yavari, A.[Ali],
Managing Time-Sensitive IoT Applications via Dynamic Application Task Distribution and Adaptation,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

i Zhang, Y.X.[Yu-Xuan], Jin, Y.X.[Yu-Xi], Wu, Y.Q.[Yong-Qing], Hao, C.P.[Cheng-Peng], Orlando, D.[Danilo],
Sparsity-Based Time Delay Estimation Through the Matched Filter Outputs,
SPLetters(29), 2022, pp. 1769-1773.
IEEE DOI 2208
Estimation, Signal processing algorithms, Delay effects, Maximum likelihood estimation, Time of arrival estimation, sparse recovery BibRef

Dalwadi, N.[Nihal], Deb, D.[Dipankar], Muyeen, S.M.,
Adaptive backstepping controller design of quadrotor biplane for payload delivery,
IET-ITS(16), No. 12, 2022, pp. 1738-1752.
DOI Link 2212
BibRef

Lv, Z.Y.[Zong-Yang], Wu, Y.[Yuhu], Sun, X.M.[Xi-Ming], Wang, Q.G.[Qing-Guo],
Fixed-Time Control for a Quadrotor With a Cable-Suspended Load,
ITS(23), No. 11, November 2022, pp. 21932-21943.
IEEE DOI 2212
Dynamics, Robustness, Vehicle dynamics, Torque, Convergence, Asymptotic stability, Transient response, Fixed-time control, cable-suspended load BibRef

Zhou, Y.[Yang], Zhang, Y.[Yuantao], Yuan, Q.[Quan], Xu, M.J.[Ming-Jing], Baraldi, P.[Piero], Lu, X.F.[Xue-Fei], Zio, E.[Enrico],
Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors,
ITS(23), No. 12, December 2022, pp. 23408-23421.
IEEE DOI 2212
Anomaly detection, Time series analysis, Transportation, Generative adversarial networks, Generators, Monitoring, Manifolds, AdaBoost ensemble learning BibRef

Chen, S.[Shanmou], Zhang, Q.Q.[Qiang-Qiang], Lin, D.Y.[Dong-Yuan], Wang, S.Y.[Shi-Yuan],
Generalized Loss Based Geometric Unscented Kalman Filter for Robust Power System Forecasting-Aided State Estimation,
SPLetters(29), 2022, pp. 2353-2357.
IEEE DOI 2212
Loss measurement, Kalman filters, Power system stability, State estimation, Covariance matrices, Noise measurement, non-Gaussian noises BibRef

Cao, Y.[Yuchi], Li, T.[Tieshan], Hao, L.Y.[Li-Ying], Gao, X.Y.[Xiao-Yang],
Nonlinear Antiswing Control of Shipboard Boom Cranes Using MPC-Based Auto-Tuning Mechanism With Full State Constraints,
ITS(25), No. 3, March 2024, pp. 2281-2292.
IEEE DOI 2405
Cranes, Marine vehicles, Payloads, Tuning, Navigation, Automation, Actuators, Shipboard boom crane, model predictive control, state constraints BibRef

El Yadari, M.[Meryeme], El Motaki, S.[Saloua], Yahyaouy, A.[Ali], Makany, P.[Philippe], El Fazazy, K.[Khalid], Gualous, H.[Hamid], Le Masson, S.[Stéphane],
Long Short-Term Memory Networks for Server Workload Prediction,
ISCV24(1-7)
IEEE DOI 2408
Training, Data centers, Accuracy, Estimation, Predictive models, Prediction algorithms, Data models, workload, LSTM, datacenter, Server, TSNE BibRef

El Kassoumi, A.[Adil], Lamhamdi, M.[Mohamed], Mouhsen, A.[Ahmed], Fdaili, M.[Mohammed], Mouhsen, A.[Azeddine], Aboudrar, I.[Imad],
Nonlinear Backstepping Control of a PMSG-Based Wind Energy Conversion System Connected to the Grid,
ISCV24(1-6)
IEEE DOI 2408
Backstepping, PI control, Simulation, Robustness, Synchronous generators, Permanent magnets, Mathematical models, Nonlinear Backstepping BibRef

Ouyang, K.C.[Kai-Chen], Liu, C.[Chang], Qiu, M.[Minyu], Wang, Z.X.[Zi-Xin], Xu, T.X.[Tian-Xiang],
Intelligent thermostatic cold storage design strategies based on Monte Carlo and graph neural networks,
CVIDL23(478-483)
IEEE DOI 2403
Deep learning, Monte Carlo methods, Computational modeling, Supervised learning, Lattices, Real-time systems, CNN BibRef

Yang, B.X.[Bang Xing], Xu, W.X.[Wen Xia], Yu, B.C.[Bao Cheng], Wu, J.[Jing], Liu, P.[Peng], Huang, L.[Lei],
Wavelet Transform LMS Algorithm Based Signal Noising Cancellation Research for Hydraulic System,
ICRVC22(244-248)
IEEE DOI 2301
Wavelet transforms, Temperature measurement, Heart, Temperature, Noise reduction, Hydraulic systems, Noise cancellation, LMS algorithm based on wavelet transform BibRef

Zhang, M.[Min], Wu, J.[Jing], Wang, C.M.[Chun-Mei], Yu, B.C.[Bao-Cheng], Xu, W.X.[Wen-Xia], Wang, H.[Han],
Research on Application of Bidirectional Thyristor in the Intelligent Air Filter,
ICRVC22(249-255)
IEEE DOI 2301
Air cleaners, Fans, Thyristors, Power supplies, Switches, Regulation, Real-time systems, bidirectional thyristor, fan speed regulation, switching characteristic BibRef

Fu, M.[Ming], Ran, Q.[Quan],
Vector Control Technology of Two-Phase Hybrid Stepping Motor Based on Current Loop PI Regulator,
ICRVC22(256-260)
IEEE DOI 2301
Regulators, Torque, Automation, Simulation, Rotors, Stators, vector control, current loop PI regulator, two-phase hybrid stepper motor BibRef

O'Brien, M.[Molly], Medoff, M.[Mike], Bukowski, J.[Julia], Hager, G.[Greg],
Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains,
WACV22(1839-1847)
IEEE DOI 2202
Training, Neural networks, Cyber-physical systems, Feature extraction, Safety, Task analysis, Vision Systems and Applications BibRef

Kayci, B., Cerit, B., Yigit, E.,
Cross Platform Based Smart Greenhouse Application,
SmartCityApp21(327-331).
DOI Link 2201
BibRef

Lahmadi, K., Boumhidi, I.,
LMI approach to Robust Fuzzy H8 Control for Wind Generator System in Finite Frequency Domain,
ISCV20(1-7)
IEEE DOI 2011
asymptotic stability, control system synthesis, frequency-domain analysis, fuzzy control, linear matrix inequality (LMI). BibRef

Lamrabet, O., Tissir, E.H., Haoussi, F.E.,
Controller design for delta operator time-delay systems subject to actuator saturation,
ISCV20(1-6)
IEEE DOI 2011
actuators, approximation theory, control system synthesis, delay systems, linear matrix inequalities, Lyapunov methods, Input Output approach. BibRef

Hmaiddouch, I., Essabre, M., Assoudi, A.E., Soulami, J., Yaagoubi, E.H.E.,
Observer Design for a Class of Discrete-Time Takagi-Sugeno Models with Unmeasurable Premise Variables: Application to an Asynchronous Motor,
ISCV20(1-6)
IEEE DOI 2011
convergence, discrete time systems, fuzzy control, induction motors, linear matrix inequalities, Lyapunov methods, asynchronous motor BibRef

Dimara, A.[Asimina], Timplalexis, C.[Christos], Krinidis, S.[Stelios], Tzovaras, D.[Dimitrios],
A Dynamic Convergence Algorithm for Thermal Comfort Modelling,
CVS19(680-689).
Springer DOI 1912
BibRef

Timplalexis, C.[Christos], Dimara, A.[Asimina], Krinidis, S.[Stelios], Tzovaras, D.[Dimitrios],
Thermal Comfort Metabolic Rate and Clothing Inference,
CVS19(690-699).
Springer DOI 1912
BibRef

Karananos, A.[Aristeidis], Dimara, A.[Asimina], Arvanitis, K.[Konstantinos], Timplalexis, C.[Christos], Krinidis, S.[Stelios], Tzovaras, D.[Dimitrios],
Energy Consumption Patterns of Residential Users: A Study in Greece,
CVS19(639-650).
Springer DOI 1912
BibRef

Terzopoulos, M.[Michail], Korkas, C.[Christos], Michailidis, I.T.[Iakovos T.], Kosmatopoulos, E.[Elias],
Overview of Legacy AC Automation for Energy-efficient Thermal Comfort Preservation,
CVS19(651-657).
Springer DOI 1912
BibRef

Fraternali, P.[Piero], Gonzalez, S.L.H.[Sergio Luis Herrera],
An Augmented Reality Game for Energy Awareness,
CVS19(629-638).
Springer DOI 1912
BibRef

Badie, K., Alfidi, M., Chalh, Z.,
Improved delay-dependent stability criteria for 2-D discrete state delayed systems,
ISCV18(1-6)
IEEE DOI 1807
Lyapunov methods, delay systems, delays, discrete systems, linear matrix inequalities, stability criteria, delay-dependent stability BibRef

Mohammed, C., El Houssaine, T., Mohamed, O., Noureddine, C.,
Robust stability of uncertain discrete-time switched systems with time-varying delay,
ISCV18(1-7)
IEEE DOI 1807
Lyapunov methods, asymptotic stability, control system synthesis, delays, discrete time systems, linear matrix inequalities, uncertain parameters BibRef

Alar, H.S., Sabado, D.C.,
Utilizing a Greenhouse Activities Streamlining System Towards Accurate VPD Monitoring for Tropical Plants,
ICVISP17(94-97)
IEEE DOI 1712
Signal processing, Arduino, Greenhouse, Humidity, Microcontroller, Tropical Plants, Vapor Pressure Deficit BibRef

Joseph, A.G.[Ajin George], Bhatnagar, S.[Shalabh],
An Incremental Fast Policy Search Using a Single Sample Path,
PReMI17(3-10).
Springer DOI 1711
BibRef

Zhu, X.R.[Xiao-Rui], Yin, L.[Lu], Deng, F.C.[Fu-Cheng],
Wind Disturbance Rejection in Position Control of Unmanned Helicopter by Nonlinear Damping,
CVS17(590-599).
Springer DOI 1711
BibRef

Tin, T.T.[Tran Trong], Yuan, C.Z.[Chen Zhi], Selvaraj, K.R.,
Smart-Learning Networked Controllers for Centralized Air-Conditioning Systems Using Model-View-Controller Model,
IVIC17(737-749).
Springer DOI 1711
BibRef

Berrada, Y., El Bakri, A., Boumhidi, I.,
Feedback T-S fuzzy controller in finite frequency for wind energy conversion systems based on neural network,
ISCV17(1-6)
IEEE DOI 1710
Artificial neural networks, Frequency control, Frequency-domain analysis, Generators, Takagi-Sugeno model, Wind energy, Wind speed, Takagi-Sugeno fuzzy, artificial neural network, finite frequency, generalized Kalman-Yakubovich-Popov, wind, energy, conversion, systems BibRef